Find Your Dream Career

Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. We're looking for a versatile, seasoned sales data analyst or analytics engineer that will focus on driving data alignment (improving business processes and production systems) between enterprise go-to-market and finance. You'll design clean, robust data pipelines and infrastructure to monitor data drift between systems/applications like Salesforce, Oracle Fusion, Gainsight, and Databricks. As an experienced senior analytics engineer on our team, you'll help evolve our data stack, champion best practices in data processing + analytics design, and build a robust context layer on top of our data that enables AI agents to interact safely. Responsibilities Design, build, and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows Lead the development of data products and an AI context layer that enables analytics and data access to scale across the company Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts Partner with finance, data engineering, and other x-functional teams to track and flag data inconsistencies that obscure the company's ability to accurately close our books Execute sizing analyses for transformational and ad-hoc data infrastructure changes, including well-defined impact analyses to support new and ongoing initiatives and product launches, conducting investigations and QA on source data quality Develop SME-level knowledge and ownership for core system data transformations (owning the requirements → UAT → DE implementation cycle for a new product or data structure) Leverage available tools to find efficiencies and process improvements to help us and our partner teams (deal desk, central analytics) remove manual processes and improve source data accuracy Investigate reported bugs or deficiencies, working with business analysts and data engineering to do UAT/QA on simple bug-fix & feature releases Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges Role In The United States , we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A : $156,600 - $204,450 Zone B : $140,940 - $184,005 Zone C : $129,978 - $169,694 Qualifications 6+ years of experience in Analytics Engineering, Data Engineering, Data Science, Business Intelligence, or similar field. Expert level proficiency with SQL and data modeling. You know how to architect data models and influence engineering teams to build for scale and consistency Proficiency in a quantitative programming language, preferably Python Experience with BI tools such as Tableau, Looker, and know how to enable self-service analytics Experience with CRM systems like Salesforce or Hubspot and ERP systems like Oracle or Netsuite Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity. Ability to independently structure complex, ambiguous problems from initial framing through delivery and execution with diverse teams up to the senior leadership level Proactive engagement with the management team to identify, prioritize, develop, and execute strategies that improve our data to enable better decisionmaking Comfortable collaborating across numerous horizontal partners (sales systems, sales enablement, sales compensation) as well as departmental/vertical stakeholders (marketing, product, finance) to build alignment and deliver results Excellent problem-solving skills with a focus on delivering business impact through reliable systems Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Analytics Engineer About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system, driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we've supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125M from investors like a16z, General Catalyst, GV, and Accel and enjoys multi-year runway. About The Role We're looking for an Analytics Engineer to build the trusted data layer that analysts, data scientists, operations, finance, product, and our payer customers depend on. At Sprinter, data is central to how we operate, measure performance, serve patients, and support our health plan partners. This role will own the canonical models, metric definitions, transformation logic, documentation, and tests that make our data reliable and reusable across the company. You'll help define what each table, field, and metric means, then build the infrastructure that ensures those definitions are consistently applied. That includes modeling data in dbt or equivalent tooling, creating reporting-ready tables, improving lineage and documentation, reconciling metrics across teams, and helping prevent the kind of data drift and metric chaos that slows companies down as they scale. This role is ideal for someone who treats metric definitions as product artifacts, thinks in contracts and tests, and cares deeply about making data trustworthy for both internal users and external customers. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We operate on a hybrid schedule, working from the office Monday through Thursday, with Fridays designated as work-from-anywhere days. We care deeply about work-life balance and are happy to provide flexibility when life happens. We ask that employees be in the office Monday through Thursday to collaborate with their teams while maintaining flexibility where it matters most. Lunch is provided every day, and the entire team takes an hour to eat together. It's one of the ways we stay connected outside of meetings. You'll usually find us playing a board game before getting back to work. What you will do Build canonical data models that create a shared source of truth across the company Define and maintain core business, operational, financial, product, and customer-facing metrics Model data in dbt or equivalent transformation tooling so dashboards, self-serve analytics, and customer reports pull from trusted tables Write tests, documentation, and data quality checks that catch issues before they reach users Create clear definitions for tables, fields, and metrics so teams understand what the data means and when to use it Reconcile metric definitions across internal teams, external reporting needs, and payer customer expectations Trace data lineage and debug dashboards, reports, or tables that change unexpectedly Partner with analysts, data scientists, operations, finance, product, engineering, and customer-facing teams to understand data needs and translate them into reliable models Help build reusable reporting frameworks that make onboarding new payers faster and less manual Partner with the data platform team to evolve warehouse tables, improve data architecture, and strengthen data contracts Improve warehouse cost, performance, and maintainability Support PHI-aware data access patterns and help ensure sensitive healthcare data is modeled and used responsibly What you have done Built analytics engineering, business intelligence, or data modeling systems in a production cloud warehouse environment Written expert-level SQL and designed data models that support reporting, analysis, and decision-making Worked with dbt or an equivalent transformation framework Built tested, documented, reusable data models rather than one-off queries Defined, maintained, or reconciled business-critical metrics across teams Partnered with analysts, data scientists, operators, finance teams, product teams, or customer-facing stakeholders Debugged data quality issues, dashboard changes, metric discrepancies, and lineage problems Worked with cloud data warehouses such as BigQuery, Snowflake, Redshift, Databricks SQL, or similar Balanced speed, correctness, usability, and maintainability when building data assets Communicated clearly with technical and non-technical stakeholders about what data means and how it should be used What gives you an edge You have experience with healthcare data, claims data, EHR data, payer data, provider data, or other complex healthcare datasets You've worked with PHI, HIPAA-aware data access patterns, or other sensitive regulated data You have experience building customer-facing reporting, embedded analytics, or multi-tenant data models You've worked with row-level security, access controls, or governed self-serve analytics You have experience using Python for analysis, scripting, data validation, or automation You've helped establish a semantic layer, metrics layer, or company-wide source of truth You've built data models in a high-growth startup or operationally complex environment You have experience improving warehouse performance, cost, and query efficiency What makes you successful You treat a metric definition as a product artifact, not a Slack thread You make data trustworthy, reusable, and easy to understand You prevent metric chaos by building clear definitions, tests, and documentation You build so that a fix in one place does not require five copy-paste edits elsewhere You understand that internal users and external customers both need data they can trust You care about the usability of the data model, not just whether the pipeline runs You can explain data discrepancies clearly and drive teams toward shared definitions You build foundations that help the company move faster with more confidence Day to Day In This Role, You Might Spend Your Time Building or refactoring dbt models Adding tests to core tables Defining canonical fields and documenting how they should be used Reviewing metric definitions and reconciling them across teams Debugging a dashboard, report, or customer-facing metric that changed unexpectedly Tracing lineage from source systems through warehouse models to downstream reports Partnering with analysts, operators, finance, product, or customer-facing teams on reporting needs Improving warehouse performance, cost, and maintainability Designing reusable reporting structures that make new payer launches easier The Interview Process We aim to complete the interview process within 2–3 weeks. It will usually consist of: Recruiter Screen: Background fit, motivation, and compensation alignment Hiring Manager Interview: Analytics engineering experience, data modeling depth, and stakeholder partnership Hands-on Technical Assessment: SQL, data modeling, metric design, and practical analytics engineering judgment Onsite Interview: Technical case study, systems/data modeling discussion, behavioral interview, and lunch with the team References: Validation of performance, judgment, and working style What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend Relocation assistance Equal Opportunity Statement Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you're only replying to emails that end with @sprinterhealth.com.

ABOUT THIS POSITION Aceable is looking for a Sr Analytics Engineer who likes solving holistic data problems. This is a hands-on role that sits on a small team at the intersection of Data Engineering and Business Intelligence. In this role, you'll be empowered to solve high-visibility data architecture and pipeline problems from beginning to end. One week you might build a new data pipeline or troubleshoot why data isn't landing where it should. The next week, you could be designing a dbt model, creating a semantic view or AI agent in Snowflake, building a Power BI dashboard, or partnering with a stakeholder to turn a fuzzy business question into a data product people can actually trust and use. We don't expect you to be an expert in every tool we use. We do expect meaningful technical depth in multiple areas, strong problem-solving instincts, experience and excitement around AI, and the curiosity to jump into unfamiliar territory when the problem calls for it. If you like variety, autonomy, solving messy problems, and building things from source data all the way through to the person making the decision, you will love working with us. WHAT YOU'LL DO Own data products end to end. Take a problem from source data all the way through to the dashboard, metric, or workflow someone actually makes a decision with. Design, build, test, deploy, and maintain the whole path rather than handing it off at each layer. Turn fuzzy questions into things people trust. Work directly with partners in Marketing, Product, Finance, and Engineering to figure out what they're really asking, then build something reliable and maintainable enough that they stop asking you and just use it. Own quality from source to screen. Build the testing, documentation, monitoring, and data quality controls that keep trust high, and when something breaks, chase it wherever it actually lives: pipeline, transformation, model, metric, or report. Leave the platform better than you found it. Improve architecture, simplify workflows, and automate repetitive work, including using AI well to move faster on coding, investigation, testing, and documentation, while holding the line on accuracy and human review. WHAT YOU'LL NEED 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence Engineering, or a similarly technical data role Advanced SQL and hands-on experience building production-scale transformations in a cloud data warehouse, ideally Snowflake, dbt, and GitHub or close equivalents A strong understanding of dimensional modeling, data marts, data quality testing, documentation, version control, code review, and software development lifecycle practices Experience with at least one data integration, ETL/ELT, orchestration, or event-data platform, plus a solid understanding of how data moves from source systems through transformation and into downstream reporting Experience building semantic models, DAX measurements, dashboards, and self-service data products using Power BI or an equivalent modern BI platform The ability and judgment to take a highly ambiguous business problem, ask the right questions, and turn it into something reliable and maintainable, plus the communication skills to do that with deeply technical partners and stakeholders who just need the data to make sense Experience building semantic layers, AI agents, or automated workflows that support generative AI and natural-language analytics and a willingness to use AI responsibly to accelerate technical work, automate repeatable processes, and continuously expand your capabilities BONUS POINTS Hands-on experience with Matillion or Segment Experience supporting digital event instrumentation and transforming customer journey, product usage, and marketing data into trusted, analytics-ready datasets, especially in support of Marketing, Product, Finance, or executive decision-making Familiarity with APIs, JSON, Python, Git, CI/CD, and automated deployment workflows Experience with data observability, lineage, governance, privacy, role-based access, and warehouse cost optimization ABOUT ACEABLE Aceable has helped 20 million people get licensed in driver's ed, real estate, insurance, and mortgage. Behind every license is a first car, a new career, a fresh start. Making those moments possible is why we built Aceable. We're profitable, growing, and investing heavily in AI to make licensing education better. Our courses are mobile-first, fully accredited, and built around one obsessive question: what's the most effective and engaging way to get someone to actually learn this? We're proud that our students consistently outperform competitors on pass rates. We move fast, ship to real students in weeks, and give our people genuine end-to-end ownership. If you want to build something that directly helps people start new careers (and have fun doing it) you're going to fit right in. ABOUT THE BUSINESS INTELLIGENCE & DATA ENGINEERING TEAM The Business Intelligence & Data Engineering team builds and supports the data products that help Aceable understand performance, make informed decisions, and operate more effectively. Our work spans data ingestion and event instrumentation, cloud data infrastructure, transformation and modeling, business intelligence, self-service analytics, and AI-enabled data experiences. We are a small, highly collaborative team that values end-to-end ownership over rigid functional handoffs. Team members bring different areas of technical depth, but work together across the data lifecycle to deliver trusted, scalable solutions. We partner closely with teams throughout Aceable, including Marketing, Product, Finance, Operations, and Engineering, and are continually looking for ways to use AI and automation to increase our impact. ACEABLE PERKS Join one of Austin's Best Places to Work in 2024 & 2025 Competitive total rewards (base salary + bonus/stock options, if applicable) 401k match Robust medical, dental, and vision benefits Generous paid time off programs + 19 paid holidays per year Flexible work schedule Wellness programs Our own space on the top floor of a downtown Austin building with free parking Weekly lunch, a fully stocked fridge, and plentiful snacks Company events and activities (holiday events, happy hours, volunteering) #PursueGrowth Reimbursement ($600 per year for full-time employees) Free Roadside Assistance subscription Passionate teammates excited to help you succeed and learn NOTE: Our team is currently working in a hybrid work environment with flexibility to work in office or remote based on role/department and location At Aceable we celebrate and support all differences. Aceable is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital, disability, and veteran status. Even if you don't think you meet every qualification listed, we'd love to review your application! Remote Hires I Aceable is only able to hire employees in the following locations: California, Colorado, Illinois, Massachusetts, Mississippi, Nebraska, New Jersey, New York (excluding Boroughs), North Carolina, Pennsylvania, Texas, Utah, and Washington. Compensation: $140,000 - $154,000

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you're ready to begin your best journey and help build travel for the world, join us. Get To Know Our Team: The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward. The Opportunity: As a Senior/Staff Data Engineer in CEG (Customer Experience Group) , you will help design, build, and maintain the data and software foundations that power how CEG Business users serves customers and agents across all contact channels. You will work closely with Product, Operations, Analytics, Operations Efficiency, WFM, DevOps and engineering teams to deliver reliable data pipelines, scalable models, internal tools, and clear insights that improve customer experience and operational efficiency. You are comfortable switching between engineering work (pipelines, data models, internal services, tooling, optimization) and analytics work (business questions, dashboards, deep‑dive analysis). You can talk to both engineers and business stakeholders in simple, clear language. At the Staff level , you will also shape CEG's data and tooling strategy, influence cross‑team architecture, and raise the overall engineering and data bar for the team. What You'll Do: Data Engineering Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and serve data from CEG systems (case management, telephony, chat, bots, QA tools, WFM, CRM) and third‑party tools and logs. Develop and optimize data models (e.g., warehouse tables, marts, views) that power CEG reporting, monitoring, forecasting, QA, and experimentation. Ensure data quality, reliability, and observability : Implement validation checks, anomaly detection, and monitoring for key CEG datasets and metrics. Work with stakeholders to define and enforce data definitions, SLAs, and ownership for critical tables and metrics. Improve performance and cost efficiency of data jobs and queries (e.g., partitioning, indexing, query tuning, storage format optimization) for high‑volume CEG data (calls, chats, emails, cases, events). Collaborate with data platform and engineering teams to standardize tooling and best practices (e.g., version control, CI/CD for data and services, code review, documentation, runbooks). Data Tools & Product Development Design and build data tools and internal products for CEG (e.g., self‑service analytics, case monitoring dashboards, alerting systems, investigator tools, QA/review tools, agent performance views). Use languages such as Python, Java, Golang, or JavaScript/TypeScript to implement APIs, data services, and lightweight UIs that expose data in a usable way to agents, managers, and operations teams. Work closely with CEG product managers and operations to translate operational pain points into concrete data tools, from problem framing to delivery and iteration. Apply solid software engineering practices —testing, code reviews, CI/CD, observability—to data products so they are reliable, maintainable, and easy to extend. At Staff level, define and drive the roadmap for key CEG data tools and platforms, ensuring reuse across regions, lines of business, and channels. Data Analytics & Business Impact Partner with CEG product and business teams to translate questions into data problems and design clear analytic approaches. Build and maintain dashboards and reports (e.g., contact volumes, handling time, quality, customer outcomes, agent performance, spot alerts) that provide reliable metrics and self‑service access to data. Perform deep‑dive analysis to understand trends in contact patterns, customer issues, agent performance, and operational efficiency; identify root causes and propose practical, data‑driven recommendations. Define and maintain metrics and KPIs (e.g., CSAT, NPS, SLA, AHT, FCR, quality scores), ensuring consistent definitions across CEG teams and tools. Communicate findings in simple, business‑friendly language , including clear implications and recommended next steps. Stakeholder & Team Collaboration Act as a trusted data partner for CEG stakeholders (operations leaders, product managers, WFM, QA, training, policy, and regional leadership). Work with other data engineers, analysts, and scientists to align on data standards, reusable components, and shared datasets for CEG. Mentor junior and mid‑level team members on data engineering, analytics, and software engineering best practices . Contribute to continuous improvement of team workflows (code reviews, testing, documentation, runbooks, knowledge sharing, incident reviews). At Staff level, influence cross‑team architecture and ways of working , making sure CEG's data ecosystem scales with business growth. Required Qualifications: 8+ years working as a Data Engineer, Analytics Engineer, or Data Analyst in a data‑driven environment (Staff level typically 10+ or equivalent scope/impact). Strong SQL skills (complex joins, window functions, aggregation, query optimization). Experience with at least one major data warehouse / big data technology (e.g., BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, StarRocks, or similar). Solid experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow, dbt, internal frameworks). Proficiency in at least one programming language for data and services (e.g., Python, Java, Golang, Kotlin, or JavaScript/TypeScript). Experience building production‑grade data pipelines and/or data services with attention to quality, monitoring, and maintainability. Experience with BI / visualization tools (e.g., Tableau, Power BI, Superset, Metabase, Looker). Strong analytical thinking : comfortable framing business questions, exploring data, and turning results into clear insights. Ability to communicate complex topics in simple, concise language to non‑technical stakeholders. Preferred Qualifications: Experience with event‑driven data (logs, clickstream, customer journey, contact flows, tracking data). Knowledge of data modeling techniques (e.g., dimensional modeling, Kimball, data vault, star/snowflake schema). Experience with A/B testing, experimentation platforms, or causal analysis . Familiarity with ML pipelines or working with data science teams (e.g., routing models, QA scoring, forecasting, recommendations). Experience in online consumer products, travel, e‑commerce, or marketplaces . Hands‑on frontend or backend development experience (e.g., building internal tools in React/Next.js, Node.js, or similar frameworks) used by operations or support teams. Prior experience in a Staff or Tech‑Lead role , driving technical direction and mentoring multiple engineers/analysts. #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4 Please review our Hiring Process Guidelines before your interview — click here to learn how interviewing at Agoda works. Discover more about working at Agoda Agoda Careers https://careersatagoda.com Facebook https://www.facebook.com/agodacareers/ LinkedIn https://www.linkedin.com/company/agoda YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

About Faire Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About The Role Are you passionate about using data and AI to shape the future of Faire's product features for small and medium businesses (SMBs)? If so, we want to talk to you! We're looking for a technical leader in our team to work closely with Data Scientists, Product Analysts and Software Engineers to support product launches and roadmaps by designing and building data capabilities that inform and drive insights. You will lead the path in using AI to boost productivity and transform how analytical engineering operates—leveraging AI to streamline data pipeline development and operations, improve data consumption workflows, and automate routine analytical tasks. In this role, you'll see a direct link between your work, company growth, and user satisfaction. You'll work with A tier players, work with one of the richest data sets in the world, use cutting-edge technology, and see your efforts affect products and SMBs regularly. Join us and be part of a team that values data-driven innovation and excellence. What You Will Do The ideal candidate will possess a perfect blend of analytics and data engineering expertise, along with strong skills in developing and supporting large-scale, high-performance data storage and processing systems. They should have a proven track record of collaborating with key stakeholders to execute on company-wide data initiatives. Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners. Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap. Build data pipelines with rigorous approaches to data quality, validation, testing, and observability. Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows. Optimize processes for operational excellence in project management and system reliability. Ensure security standards are met within data systems and workflows. Ensure and promote data quality standards for accurate and reliable insights. Embrace emerging technologies with enthusiasm. Minimum Qualifications 4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases. Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders. Production-level development experience in Python. Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance. Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms. Experience with Airflow, Docker, DBT or similar analytics workflow tools. BA/BS degree in Computer Science, Math, Physics, or a related technical field. Salary Range California: the pay range for this role is $196,000 to $269,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you'll love working at Faire Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly. Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day. Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours. Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work. Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form) Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)

About Mesh At Mesh, our mission is to enable consumers to pay and be paid with any asset. Today, trillions of dollars in tokenized assets exist but remain largely unusable for everyday commerce. Mesh is bridging this gap by making crypto payments reliable, useful, and ubiquitous. We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world. Backed by leading investors like SBI, Money Forward, Paradigm, Dragonfly, Galaxy, and PayPal Ventures, we are building the infrastructure for the next era of the global economy. Join us! Overview Mesh moves money across hundreds of exchanges, wallets and chains. The data that flow generates is now a product in its own right: clients want to see their conversion, volume and settlement data, Finance needs reporting they can sign, and our own teams answer most questions by asking an AI agent instead of filing a ticket. You'll own how we define, instrument, validate and ship that data, working hands-on in SQL and Python and building the guardrails that let AI agents query our data safely. What You'll Do Own product and client analytics. Define core metrics (conversion rates, transaction success rates) and maintain the central Amplitude data with reusable, templated charts. Build internal and external dashboards for clients. Run experiment readouts. Baseline and read out A/B tests on the flow (UI variants, algorithms) and turn results into product decisions. Prove migrations with data. Build apples-to-apples comparisons between platforms so decisions move on evidence, not gut feel. Guard data integrity. Run and automate daily reconciliation triage and the verification engine. Shape instrumentation. Define backend event schemas and the tracking plan, and normalize fields so the data is clean enough for analytics. Build finance-grade reporting. Deliver settlement and billing reporting on Microsoft Fabric / Power BI with parity validation, alerting and self-serve access for Finance. Make data AI-native. Build skills and tools for our internal data agent, log and audit agent-generated SQL, and keep the self-serve data channels accurate. Turn data into client products. Help shape self-serve reporting, reconciliation and billing exports that clients pay for. Who You Are Expert in SQL (T-SQL / SQL Server and Spark SQL a plus) and solid in Python Hands-on with product analytics (Amplitude, Mixpanel or similar), including event design and funnel/CVR modeling Comfortable with experiment design and statistics for A/B readouts Experienced building data quality checks, reconciliations or backfills on production data In the habit of validating numbers against source systems before anyone else sees them A clear writer who can explain a data issue to an engineer, a CRO and a client in the same day A daily user of AI coding and analysis tools ~3+ years in analytics or data engineering ~5+ years with end-to-end ownership of a data domain. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate's experience, skills, qualifications, and geographic location. For candidates outside of New York or San Francisco, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances. Pay Range $180,000 - $200,000 USD Why You'll Love It Here At Mesh, you're not stepping into a typical role—you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big—this is where you'll want to be. In-Office Expectations Employees based in our San Francisco, New York, and Bangalore hubs are expected to work from the office at least 40% of the time (approximately two days per week). This expectation may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional in-office requirements, which will be discussed during the interview process. Our hybrid approach is designed to balance meaningful in-person collaboration, team building, and real-time decision-making with the flexibility to work remotely. We believe this structure supports strong execution while preserving autonomy and focus time. How We Care For Our Team We believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO—and we mean it. Take the time you need to recharge and show up at your best. We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work. Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Location Designation: Hybrid - 3 days per week Technology, Data, AI And Ventures Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees while delivering measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader, access to leading-edge technologies and the opportunity to help shape how a world-class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last. Role Overview Join NYL Enterprise Intelligence as an Analytics Engineer on the Data Services team. This is a foundational role within one of the most innovative, founder-mode organizations inside New York Life — a team on a mission to transform 178 years of proprietary data into bleeding-edge AI intelligence, embedded at the point of every decision. You will work at the intersection of data engineering and business insight, building the analytics foundations that power enterprise-scale intelligence products across every line of business. The Analytics Engineer contributes to the development and maintenance of data transformation logic, data models, and analytics solutions that sit at the heart of NYL's Enterprise Intelligence platform. Working under the guidance of senior engineers, you will help ensure that data is accurate, accessible, and actionable — enabling the decisioning and AI capabilities that drive measurable business impact across the enterprise. What You'll Do Data Transformation & Modeling: Contribute to the development of data transformation logic and maintain existing data models using dbt and SQL. Write and optimize SQL queries for data transformation and analysis to support accurate, accessible, and actionable data. Data Quality & Documentation: Assist in implementing and maintaining data quality checks and testing procedures. Contribute to documentation of data models, transformations, and business logic to support consistency, reliability, and maintainability. Analytics & Reporting: Develop and maintain reports and dashboards using visualization tools to surface actionable insights. Support the delivery of business and operational metrics in partnership with Analytics and senior team members. Cross-Functional Collaboration: Work jointly with team members and stakeholders to accomplish shared outcomes. Participate in cross-functional meetings to understand business requirements and translate them into data needs. Team Collaboration & Growth: Build collaborative relationships across engineering and analytics teams, contributing to shared outcomes and the continued development of enterprise intelligence capabilities. What You'll Bring Required Skills 1–3 years of experience in analytics engineering, data engineering, or a related field. Proficiency in SQL, including writing and optimizing queries for data transformation and analysis. Familiarity with data warehousing concepts and analytics best practices. Strong attention to detail and commitment to data quality, accuracy, and reliability. Ability to work collaboratively in a fast-paced, team-oriented environment, building effective relationships across engineering, analytics, and business teams. Preferred Skills Experience with dbt or similar data transformation tools. Exposure to cloud data platforms such as GCP, AWS, Databricks, or BigQuery. Experience with BI and visualization tools such as Looker, Tableau, or similar platforms. Interest in AI, machine learning, and enterprise intelligence applications. Job Level: LEVELPF3 Pay Transparency Salary Range: $100,000-$143,000 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program. Company Overview At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. Our Benefits We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site. Our Commitment to Inclusion At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space. Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com. Job Requisition ID: 95191

What To Expect The Infrastructure Operations and Analytics team designs directly with operations data and drives solutions to optimize pipeline architecture and develop systems for data collection, visualization and intelligence. In this role, you will serve as both a Data Engineer and Data Analyst, empowering Construction and Operation stakeholders with actionable insights for prioritization, cost savings, and early risk detection. You will ensure our data pipelines, dashboards, and reporting systems are maintained and developed to the highest standards of robustness, flexibility, scalability, and efficiency. What You'll Do Interpret complex business logic and implement simple, elegant solutions while adhering to project timelines Extract actionable insights and identify trends to support stakeholders in driving cost-saving improvements on CAPEX and OPEX data Maintain, optimize, and develop ETL pipelines in SQL, Airflow and Python Create visualizations using tools such as Power BI, Tableau, Excel, and in-house dashboard platforms Continually expand the scope of your data engineering and analysis skill set Drive continuous improvement efforts to enable cost savings and optimize Tesla's products and processes Strong communication skills, organizational skills, presentation skills, and flexibility to address competing demands What You'll Bring Bachelor's Degree in Data Analytics or equivalent experience 3+ years of experience in programming languages such as SQL, Python, DAX, or similar Proficiency in data visualization tools such as Power BI, Tableau, Excel, or similar Proficiency in tools such as SSMS, Airflow, Microsoft Azure, and SQL Server In-depth knowledge of RDBMS development, Data Warehousing, and Data Modeling techniques Demonstrated success in applying statistical methods to data analysis, particularly regarding budget forecasting A successful history of integrating source systems and delivering self-serve Business Intelligence Benefits Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire: Medical plans > plan options with $0 payroll deduction Family-building, fertility, adoption and surrogacy benefits Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits Company paid Basic Life, AD&D Short-term and long-term disability insurance (90 day waiting period) Employee Assistance Program Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays Back-up childcare and parenting support resources Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance Weight Loss and Tobacco Cessation Programs Tesla Babies program Commuter benefits Employee discounts and perks program Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels) Expected Compensation $120,000 - $216,000/annual salary + cash and stock awards + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. , Tesla

Job Requisition ID # 26WD101381 Position Overview Autodesk's worldwide sales organization depends on its forecast, pipeline, targets and reporting. This role builds the data models behind them. As an Analytics Engineer on the Forecasting & Revenue Intelligence team, you turn sales, subscription and hierarchy data into tested, documented models that analysts and sales leaders can trust, covering what customers bought, who owns which accounts and how the sales organization looked on any given date. You will work in SQL and dbt on Snowflake, and you will work closely with the people who use your models. This is a hands-on role on a new team, and you will own what you ship. Location: United States (remote). Central or Eastern time zone preferred. Organization: Revenue Operations Responsibilities Build and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy and forecast data into a clean, documented form Model data for analysis: a clear grain, stable keys, and definitions consistent with the shared metric dictionary Keep history so any published number can be reproduced as it stood on the day it went out Maintain the mapping between accounts, territories, sellers and the sales hierarchy as the organization changes Reconcile the data to Salesforce and to Finance, and find the cause when they disagree Build the datasets behind the weekly forecast pack, business reviews and leadership dashboards Add tests and monitoring for freshness, completeness and accuracy, and fix what breaks Explain data issues and trade-offs to sales and finance partners in plain terms, and agree on a fix with them Work in version control with code review and continuous integration Minimum Qualifications Bachelor's degree in a technical or quantitative field, or equivalent practical experience 3+ years in analytics engineering, data engineering or BI development, building models other people depended on Dbt in production, with tests and documentation as part of how you work Strong SQL, including window functions and incremental models, in a cloud data warehouse such as Snowflake Working knowledge of the Salesforce data model: accounts, opportunities, line items and ownership Ability to explain a data problem to a non-technical stakeholder and reach a decision together Preferred Qualifications Dbt snapshots or slowly changing dimensions for point-in-time reporting Python for transformation or orchestration, with Airflow or similar Enterprise software or SaaS commercial data: subscriptions, renewals, territories, and direct and partner routes to market Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma Experience as an early hire on a new data team Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $103,000 and $185,130. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification.

Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. About The Position Dexis is recruiting a Senior Data Analyst to support anticipated programming with the Department of State (DOS). This opportunity will provide policy direction and oversight in the areas of international security, security assistance, military operations, and defense strategy and plans, specifically focused on Foreign Military Financing (FMF) and International Military Education and Training (IMET) military grant assistance programs. Candidates must have an active Secret Clearance. This position is contingent upon contract award. Responsibilities Providing quantitative analytical support to produce country papers and perform data quality checks to ensure integrity of the data. Coordinating with the client and with the core M&E team regarding additional data points to consider and explore for further analysis. Designing and populating easy to read and digestible mockups of data visualization options to present to the client. Documenting data calculation steps and methodologies applied to the analysis as needed. Analyzing country trends for regional and global comparisons. Producing approved final data visualizations of the countries to be included in reports. Adapting to changing needs of the project and the team as needed. Qualifications Bachelor's degree in relevant field of study and at least six (6) years of data analytics experience. Active Secret Clearance required. Expertise aggregating, normalizing, and displaying data from multiple sources, and conveying nuanced distinctions and conclusions to end users while ensuring utmost accuracy. Experience applying quantitative research methods, operating or managing databases, and applying statistical methods to conduct analysis. Ability to perform advanced quantitative analyses of structured and unstructured data, especially working with, and manipulating large data sets in Excel. Ability to work independently and meet deadlines with minimal supervision. Experience designing data visualizations to demonstrate data trends. Comfortable with the changing needs of the client and the team. Strong attention to detail. Preferred Requirements Experience creating data dashboards using tools such as Tableau or Flourish. Experience building APIs. Prior experience with DOS programming. Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research, our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs. Dexis Pay Range For This Role $105,000—$155,000 USD Benefits Dexis offers benefits to support employees' health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today's most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is "find a way or make a way" — that's how Dexis goes "all in." How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

All job postings will expire at 11:59 PM Eastern Time on the application deadline. Agency: Ohio Department of Higher Education Agency Contact Name and Information: Patricia Guseman; pguseman@highered.ohio.gov Work Location: 25 South Front Street Columbus, Ohio, 43215-4104 United States County: Franklin Compensation: $80,000-$95,000 Schedule: Permanent - Full Time Work Hours: 8am-5pm Classified Indicator: Unclassified Union: Exempt from union Primary Job Skill: Data Analytics Primary Technology: SQL Server Who We Are The Ohio Department of Higher Education is a Cabinet-Level agency for the Governor of the State of Ohio that oversees higher education for the state. The agency's main responsibilities include authorizing and approving new degree programs, managing state-funded financial aid programs, and developing and advocating policies to maximize higher education's contributions to the state and its citizens. The Data Management and Analysis division is responsible for the collection of Higher Education Information (HEI) system data and the activities around the use of that data. Data management staff work with institutions to submit data, troubleshoot errors and warnings that occur during the submission process, and provide guidance on how to interpret data elements in the system. In addition to providing support to the institutions for data submission, the Data Management and Analysis area also provides data and analyses to fulfill the ad hoc reporting requirements of the agency, the legislature, governor, and public, and fulfills data requests related to higher education. What You'll Do Senior Data Analyst, Perkins Reporting - Administrative Staff and unclassified pursuant to 124.11 (A) (30) and 3333.03 of the Revised Code. Serves at the pleasure of the Chancellor and in a fiduciary capacity to the Ohio Department of Higher Education (ODHE). Reports to the Director of Data Management & Analysis. This position will spend 70% of working time focused on Postsecondary Career and Technical Education (CTE) data processes and reporting. Uses SQL, Python, and R to extract, clean, merge, and validate HEI and non‑HEI datasets for the purposes of Postsecondary CTE processes. Serves as technical lead for data area procedures and policies for CTE related programming to career center staff, campus staff, ODHE staff, and public at-large. Develops reproducible scripts, automated processes, and documentation to support ongoing state and federal reporting. Conducts research and analyzes data from HEI and national higher education data sources using SQL, Python, or R. Analyzes and reviews data to identify data reporting issues and to ensure data reliability and validity for queries, reports, publications, and other Postsecondary CTE purposes. Responds to routine internal and external data requests using relational database and other data tools appropriate for generating reports. Represents ODHE to deliver speeches and presentations at meetings/conferences. Participates in development and revision of CTE program policies and procedures related to data management. Other duties as assigned. Additional Information This position reports to the agency headquarters located in downtown Columbus, Ohio five (5) days a week. Selected applicants may be asked to complete an exercise to demonstrate ability to complete duties outlined above. Why Work For The State Of Ohio The State of Ohio is a drug-free workplace which prohibits the use of marijuana (recreational marijuana/non-medical cannabis). Please note, this position may be subject to additional restrictions pursuant to the State of Ohio Drug-Free Workplace Policy (HR-39), and as outlined in the posting. Qualifications Bachelor's degree. Strong quantitative and analytical skills. Advanced use of SQL and at least one other scripting language. Experience with making presentations and leading discussions. Solid customer service skills and teamwork experience are essential. Strong oral and written communication skills are necessary. Ability to organize and express ideas concisely. Preferred Qualifications Master's degree or two years' experience in a postsecondary, higher education setting. Knowledge and professional work experience in career-technical education systems. ADA Statement Ohio is a Disability Inclusion State and strives to be a model employer of individuals with disabilities. The State of Ohio is committed to providing access and inclusion and reasonable accommodation in its services, activities, programs and employment opportunities in accordance with the Americans with Disabilities Act (ADA) and other applicable laws. Drug-Free Workplace The State of Ohio is a drug-free workplace which prohibits the use of marijuana (recreational marijuana/non-medical cannabis). Please note, this position may be subject to additional restrictions pursuant to the State of Ohio Drug-Free Workplace Policy (HR-39), and as outlined in the posting.

Xumo, a joint venture between Comcast and Charter Communications, was formed to develop and offer a next-generation streaming platform for the entire entertainment industry. The company consists of three primary lines of business: Xumo devices, Xumo Play, and Xumo Enterprise. Powered by Comcast's global entertainment platform, Xumo devices feature a world-class user interface with universal voice search capabilities, making it easy for consumers to find and enjoy their favorite streaming content. Xumo Play is a free ad-supported streaming TV (FAST) service offering hundreds of linear channels and on-demand options. Xumo Enterprise provides tools and services for content creators, distributors, and advertisers to make FAST content more accessible. Job Summary This role partners with business leaders and stakeholders to understand data and analytics needs, translating them into actionable technical requirements. It involves analyzing large, complex datasets from multiple sources to uncover meaningful business insights, identify key drivers, and support data-driven decision-making. The position leverages advanced querying and develops forecasting models to predict business trends. Additionally, the role evaluates the effectiveness of campaigns and initiatives, delivering insights for continuous improvement, and designs, builds, and maintains both internal and external dashboards and reporting solutions to meet stakeholder needs. Job Description Additional Position Info: This role will work closely with business stakeholders, responsible to create and maintain internal dashboards & reports based on stakeholder requirements Create, develop and maintain external customer reports & dashboards Position is office based in Irvine, CA or Philadelphia, PA- 4 days/week & 1 day remote Core Responsibilities Works with business leaders and stakeholders to understand data and analysis needs and develop technical requirements. Determines relevancy of data and identifies alternative data sources as needed to ensure analytics requested by business stakeholders can be completed. Analyzes large, complex data to determine actionable business insights using self-service analytics and reporting tools. Queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. Combines data as needed from disparate data sources to complete analysis. Identifies key business drivers and insights by conducting exploratory data analysis and hypothesis testing. Develops forecasting models to predict sales, demand and other key business metrics. Analyzes the results of campaigns, offers or initiatives to measure their effectiveness and identifies opportunities for improvement. Communicates findings clearly and concisely through narrative-driven presentations and effective data visualizations to Company executives and decisionmakers. Promotes and evangelizes a culture of excellence, data driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Stays current with emerging trends in analytics, statistics, and machine learning and applies them to business challenges. Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees At All Levels Are Expected To Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Skills Google BigQuery; Data Visualization; Hypothesis Testing; Data Analysis; Structured Query Language (SQL); Actionable Insights; Presentations Salary Pay Range: This job can be performed in California with a good faith estimated pay range upon hire of $89,718.80 - $119,625.06 USD. Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years