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Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America. We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. About Clarus Clarus, a Doubtless company, is a pioneering pet health technology company transforming the future of pet healthcare. We develop connected solutions across the pet health landscape, helping veterinary teams and pet owners make more informed care and financial decisions. Together, we are reducing complexity and helping more pets receive the care they need. About The Role Clarus is seeking an experienced Analytics Engineer to join the Analytics team. This individual will own the analytics engineering process and serve as the technical bridge between Data Engineering and Analytics delivery. They will build, expand, and optimize Clarus's analytics architecture and pipelines, improving how data flows from diverse sources to downstream analytics solutions. In this role, you will lead high-impact data product and solutions initiatives from ambiguous problem definition through technical design, implementation, rollout, and adoption. You will transform raw and curated data into reliable, analytics-ready models and consistent business metrics using dbt, SQL, Python, and Databricks, while establishing a scalable architecture and strong engineering practices. The ideal candidate is a seasoned analytics engineer with strong data-wrangling skills and a passion for building and optimizing scalable analytics systems. They are self-directed, comfortable supporting multiple projects, systems, and products, and able to set technical direction while remaining deeply hands-on. What You'll Do Own analytics engineering work, including its roadmap, priorities, standards, and operating practices. Design and evolve analytics architecture, with clear responsibilities and quality expectations across bronze, silver, and gold data layers. Build, maintain, and optimize dbt models that transform source data into curated, reusable, analytics-ready datasets. Write and optimize advanced SQL, and use Python for data transformation, validation, automation, and complex processing where appropriate. Develop dimensional and business-oriented data models that support dashboards, self-service analysis, operational reporting, and data products. Establish and document shared KPI definitions, calculation logic, data contracts, ownership, and authoritative sources. Implement automated tests, source freshness checks, documentation, lineage, and monitoring to make data quality visible and dependable. Establish disciplined development practices, including Git-based version control, code review, CI/CD, and controlled promotion across environments. Partner with Data Engineering on ingestion, source schemas, platform performance, and reliable handoffs between foundational and analytical data layers. Partner with analysts, BI developers, and business stakeholders to translate requirements into scalable models rather than one-off reporting logic. Improve Databricks performance and cost efficiency through thoughtful table design, incremental processing, query optimization, and compute usage. Lead data-quality investigations, root-cause analysis, remediation, and communication when critical analytics assets do not meet expectations. Strengthen data governance by applying appropriate access controls, handling sensitive data responsibly, and supporting consistent ownership and stewardship. Migrate duplicated spreadsheet, dashboard, and ad hoc query logic into governed, tested, and reusable dbt models. Design resilient models that support historical analysis, changing source systems, incremental loads, and evolving business definitions. Create clear technical documentation, modeling conventions, and enablement materials that drive adoption of trusted data assets. Raise analytics engineering capability across the team through design reviews, reusable patterns, thoughtful feedback, and hands-on mentorship. What You Bring Bachelor's degree or higher in computer science, data engineering, analytics, information systems, mathematics, or a related discipline, or equivalent professional experience. A strong record of success leading complex analytics engineering, data engineering, business intelligence engineering, or closely related initiatives. Experience in animal health, veterinary services, pet insurance, SaaS, fintech, or health technology is a plus. 8+ years of relevant data and analytics experience, including senior-level ownership of production analytics data models and standards. Advanced SQL skills and demonstrated experience designing, debugging, and optimizing complex transformations. Deep, hands-on dbt experience, including scalable model architecture, testing, incremental models, snapshots, documentation, macros, packages, and production deployment workflows. Strong Databricks experience, including Delta Lake, Spark SQL, Workflows or Jobs, Unity Catalog, and performance management / tuning. Demonstrated skill operating medallion architectures and lakehouse data models across bronze, silver, and gold layers. Strong Python skills for data processing, testing, validation, automation, and engineering utilities. Strong understanding of dimensional modeling, warehouse and lakehouse design, semantic layers, slowly changing dimensions, and metric governance. Experience with modern engineering practices, including Git, CI/CD, code review, automated testing, orchestration, and environment management. Ability to translate ambiguous business needs into clear technical designs and communicate effectively with senior leaders and non-technical stakeholders. What Will Help You Succeed You are intellectually curious, resourceful, and motivated to understand how the business works. You take initiative, identify needs early, and you are comfortable operating in an evolving, high-growth environment. You can move easily between hands-on analytics engineering, and stakeholder conversations. You can manage production data deliverables while continuing to improve the underlying processes. You build trust by producing reliable data products, communicating clearly, and following through on commitments. LOCATION This is a remote U.S. position aligned to Eastern or Central Time business hours. U.S. travel may be required. Compensation Chicago/Boston Base pay range: $123,774 – $154,718 per year NYC Base pay range: $135,026 - $168,784 per year Miami Base pay range: $118,148 - $147,686 Nationwide Base pay range: $112,522 - 140,653 per year This is the range we reasonably expect to pay at hire. Placement within the range depends on job-related factors such as experience, skills, and certifications. This position is eligible for an annual bonus. Base pay is one part of a total rewards package that includes the benefits listed below. All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following: Comprehensive full medical, dental and vision Insurance Basic Life Insurance at no cost to the employee Company paid short-term and long-term disability 12 weeks of 100% paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (FSA) Retirement savings plan Personal Paid Time Off Paid holidays and company-wide Wellness Day off Paid time off to volunteer at nonprofit organizations Pet friendly office environment Commuter Benefits Group Pet Insurance On the job training and skills development Employee Assistance Program (EAP) Interview Technology Notice Please note that phone and video interviews or screenings may be recorded and transcribed using interview technology to support our recruitment process. By continuing with the interview, you consent to this use. Text Messaging Notice If you provide a mobile phone number, you may receive job-related communications via text message. Message and data rates may apply. You may opt out of text communications at any time by replying "STOP."

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.

Job Requisition ID # 26WD101382 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.

Job Description Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job; it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future – including your own. We're actively seeking a talented Analytics Engineer to join our Analytics Engineering team as part of our Advanced Analytics function in our Newport Beach, CA office. Reporting to the Director, Analytics Engineering, this role will help transform enterprise data into trusted, reusable analytics products that support reporting, machine learning, data science, and AI-powered business solutions. You'll collaborate with business stakeholders, analytics delivery, data engineers, visualization engineers, and data scientists to translate business needs into tested, documented, and scalable analytical models. Our work goes beyond building data transformations. We capture the business definitions, rules, and relationships that make data meaningful and usable by both people and AI agents. Working with dbt, Snowflake, Snowflake Cortex, AWS, and modern engineering practices, you'll help deliver reliable analytics solutions while enabling stakeholders to confidently use data and AI. You'll also contribute to our adoption of AI-assisted and agentic development using tools such as Claude Code and GitHub Copilot, with appropriate testing, human review, and security controls. How you will help move us forward Analytics Engineering: Develop and maintain modular SQL transformations and analytical data models using dbt and Snowflake, creating reusable data sets for reporting, analysis, data science, and AI use cases. Business Context and Semantic Modeling: Partner with stakeholders to understand business processes and translate requirements into clear data definitions, business rules, metrics, and semantic models. Document relationships and assumptions so data can be interpreted consistently. Data Quality and Trust: Build automated tests, validate business logic, investigate discrepancies, and maintain documentation and lineage to help ensure analytical data is accurate, understandable, and reliable. AI and Agentic Solutions: Contribute to the development, testing, and evaluation of Snowflake Cortex solutions and AI agents grounded in trusted enterprise data and business context. Modern Development Practices: Use Git, Azure DevOps (ADO), and CI/CD workflows to manage work, collaborate through pull requests, automate validation, and deliver controlled changes across development and production environments. AI-Assisted and Agentic Development: Apply approved tools such as Claude Code and GitHub Copilot to development, testing, documentation, and workflow automation. Review and validate AI-generated outputs while following engineering, privacy, and security standards. Stakeholder Enablement: Provide hands-on guidance, demonstrations, documentation, and knowledge transfer that help business partners adopt analytics products, use Snowflake Cortex, and become more self-sufficient. Reliability and Continuous Improvement: Troubleshoot analytical models and workflows, improve query performance and efficiency, modernize manual processes, and contribute reusable patterns and improvements to the team's engineering playbook. Cross-Functional Collaboration: Work with data engineering, platform, governance, and technology partners to deliver solutions that align with enterprise architecture, access controls, and operational standards, including AWS-based components where applicable. The experience you bring Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or a related field, or equivalent practical experience. Professional Experience: Typically at least 2–5 years of professional experience in analytics engineering, data engineering, business intelligence development, or a related technical role. Core Stack Experience: Hands-on professional experience with dbt and Snowflake, including developing, testing, documenting, and maintaining analytical data models. SQL and Data Modeling: Strong SQL skills and practical understanding of relational and dimensional modeling, data transformation, business logic, and query optimization. Software Engineering Practices: Experience with Git version control, branching, pull requests, code reviews, automated testing, and CI/CD. Experience with Azure DevOps (ADO) or a comparable delivery platform. Programming and Cloud: Working knowledge of Python for scripting, automation, or data-related development. Familiarity with AWS and cloud-based data environments; professional AWS experience is preferred. Business Partnership: Ability to translate business questions into technical requirements, explain technical concepts clearly, and help stakeholders understand and use analytical solutions. Problem Solving and Ownership: A thoughtful, detail-oriented approach to troubleshooting, validating results, documenting decisions, and following work through delivery. AI and Emerging Tools: Experience with Snowflake Cortex, AI agents, or generative AI solutions is preferred. Familiarity with Claude Code, GitHub Copilot, or other AI-assisted and agentic development tools is a plus, along with a willingness to learn and apply them responsibly. Industry Background: Experience in insurance, financial services, or another regulated environment is preferred, but not required. You can be who you are We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Base Pay Range The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $103,140.00 - $126,060.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation You Can Be Who You Are We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife EEO Statement Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Reporting to the Director of Technology. An integral part of the ALMAG Aluminium Information Technology Department the Sr. Business Systems & Database Analyst will assist with the planning, organizing, and optimizing the overall operation of business systems at ALMAG. Responsible for technical, operational support and maintenance of critical business systems at ALMAG. Ensure that business systems meet business objectives while maintaining accessible and reliable systems for internal customer use. The incumbent will monitor changes in industry trends, innovations and customer behaviours and identify potential impact and applicability to ALMAG?s strategic, market, sales and functional plans. The incumbent will develop recommendations and once approved, will collaborate and support various teams to design and implement process and enhancements within mission-critical business systems. DUTIES AND RESPONSIBILITIES The duties and responsibilities of the Sr. Business Systems & Database Analyst are detailed below, but not limited to the following: Planning Participate in the review of business processes to generate recommendations for productivity improvements through technology Risk mitigation and planning Work with partners to eliminate redundant or ineffective business procedures Enhance the customer service experience Work with partners to gain agreement on solutions Analyse data to quantify benefits and assess costs Participate in presentations and meetings with Senior Management Participate in the preparation of RFPs, bid proposals, and contracts Work closely with the Director of Technology to develop application architecture and underlying services to run enterprise business systems Research emerging practices and technologies and participate in long-range planning for the development of business systems solutions, evaluating new deployment and migration models and methodologies Operations Develop and implement business systems projects that meet agreed business outcomes Communicate effectively with various partners, setting clear expectations and explaining complex concepts to non-technical audiencesProvide expert guidance with hands-on support to solve complex and challenging business problems to the satisfaction of key partners Plan, develop, and on?time delivery of effective business solutions Coordinate and perform in-depth testing of modified and new systems, including end-user reviews and other post-implementation support Support the organization through the design and implementation of robust training Maintain, administer, and upgrade existing database and application systems as required Ensure the proper management and integrity of ALMAG data Identify and compile metrics from business systems to support data analysis and business improvements Apply methods and techniques to ensure the security of applications and data Responsible for using problem-solving and analytical skills to support the design, implementation, and maintenance of solutions that support the extrusion production system Support the business through the ongoing implementation, configuration, support, and testing of an alternate ERP system Design, deploy, and maintain dashboards ad-hoc reports, perform data analytics, and build data visualization solutions to meet business needs using Power BI or Crystal reporting Develop and maintain dashboards, reports, and data visualizations Create standard operating procedures, support new user onboarding, and train users on system functionality Perform additional duties as required to support the business Governance Collaborate with Busines

Cooke is a global seafood company with operations in North America, Europe, South America and Australia. Our company's success is driven by our dynamic, highly skilled, and innovative management team, supported by dedicated employees who live in coastal communities and contribute to the local area's economy and sense of community. Cooke is continuing to mature its digital strategy through modern data platforms, integrated data pipelines, and enterprise data standards that support operations, processing, distribution, and corporate functions. As a Data Engineer, you will develop and optimize data integration solutions, implement automation, monitor data quality, and collaborate with architects and business teams to align data solutions with enterprise data models. The Role As a Data Engineer, you will design, develop, and optimize data pipelines and transformations that support analytics, operational reporting, and enterprise data integration. You will work independently on routine data engineering activities while partnering with business analysts, architects, application teams, and data stakeholders to deliver reliable, secure, and well-documented data solutions. Key Responsibilities Design, develop, and optimize data pipelines and transformations to support analytics and operational reporting.Implement data validation, cleansing, and quality checks to ensure reliable datasets.Collaborate with business analysts, architects, and application teams to understand and deliver against data requirements.Automate data ingestion and integration processes to improve performance, reliability, and repeatability.Maintain data documentation, metadata, lineage, and technical specifications for ongoing support and reference. What Success Looks Like Reliable ETL and ELT pipelines are built, maintained, and improved with minimal supervision.Data quality checks, cleansing logic, and validation processes are embedded into data workflows.Data requirements are translated into practical solutions through effective collaboration with analysts, architects, and application teams.Ingestion, integration, and orchestration processes are automated where appropriate to improve reliability and performance.Technical documentation, metadata, and lineage remain current and aligned to Cooke's enterprise data standards. Core Skills & Competencies Proficient in building and maintaining ETL and ELT data pipelines using tools such as Snowflake, DBT, FiveTran, Boomi, and API-based integrations.Strong SQL, scripting, and data modelling skills, with the ability to map data flows, lineage, and relationships across source and target systems.Ability to implement ingestion, transformation, orchestration, validation, cleansing, and quality checks independently using standard Cooke tools and patterns.Working knowledge of data warehousing, APIs, integration patterns, data security, metadata management, and governance workflows.Strong troubleshooting and collaboration skills to resolve data quality or performance issues and work effectively with architects, analysts, engineers, and business stakeholders. Behaviors That Drive Success Adaptability: Adjusts work methods for new tools, priorities, or directions with limited guidance.Business Acumen: Applies business insights to improve processes and make informed decisions.Collaboration & Synergy: Builds strong cross-functional relationships and encourages knowledge sharing.Decisiveness: Makes timely, data-informed decisions within scope.Design Thinking: Uses user-centered design and data insights to inform solutions.Digital Acumen: Applies digital insights to improve work quality or customer experience.Diversity Mindset: Values diversity in teams and ensures inclusivity in discussions and decisions.Growth Mindset: Demonstrates continuous learning and encourages it in others.Innovative: Applies innovative methods to solve functional or business challenges.Outcome Driven: Delivers measurable results tied to team or pro

Job Description Job Description Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS , the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Overview The Principal Data Analyst will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills. The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders. Responsibilities Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights. Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting. Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives. Conduct complex analyses that inform strategic priorities and operational decisions. Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems. Ensure data integrity, consistency, and precision across all reporting outputs. Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention. Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights. Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals. Qualifications Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field. 4–6+ years of experience in data analytics or business intelligence, with experience leading ad-hoc projects. Demonstrated ability to guide projects and support team development. Expertise in SQL and hands-on experience working with large, complex data environments. Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker). Solid understanding of Salesforce data structures and data integration practices. Familiarity with SaaS business models and key financial metrics. Strong communication skills with the ability to effectively present insights to senior stakeholders. High attention to detail, with a commitment to accuracy, data governance, and analytical rigor. Work Location Expectation: Unless otherwise specified, this position is based out of our San Francisco, Chicago, Salt Lake City or New York offices. Candidates residing in or near these metro areas are expected to work on a hybrid (2-3 days in-office/week) or fully onsite basis. Cool Company Benefits A dynamic, rapidly growing company, focused on helping organizations thrive Medical, Dental, & Vision Insurance (for full-time employees) Competitive & Fair Pay Maternity & paternity leave (for full-time employees) Short & long-term disability Opportunity to learn from a dedicated leadership team Top-of-the-line company swag Privacy Policy Notice Filevine will handle your personal information according to what's outlined in our Privacy Policy. Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Citylitics Inc. Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America. Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together. Who Are We Looking For? We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running. This role requires a strong command of data engineering best practices, a track record with orchestration and data warehouses, and hands-on experience shipping LLM and agentic workflows to production. You'll own the design, build, and operation of production data pipelines that use AI to power customer-facing solutions. You'll work with technologies we already use, including GCP services like Cloud Composer, Cloud SQL, BigQuery, and Vertex AI. Beyond the technical skills, we value collaboration, sound engineering judgment, and the ability to adapt as AI tooling changes fast. If you're passionate about data, have put AI into production and want to do more of it, and are excited by impactful projects, we encourage you to apply. This is a hybrid role based out of Citylitics? Toronto office and requires 3+ days in-office per week. What Will You Accomplish? / How You Will Make An Immediate Impact: Pipeline Orchestration: Lead the development of highly performant, reliable, and maintainable pipelines using Airflow and BigQuery, from architecture and design through testing, deployment, monitoring, and maintenance. You'll make design decisions independently and own the systems you build. Data Modeling & Dashboards: Partner with data analysts and stakeholders to define requirements and design scalable data models and applications. You'll own data products end to end, from the pipelines and models through the backend APIs to the customer-facing dashboards and apps built on them. AI & Agentic Workflows: Design and operate pipelines that use LLMs and agents to turn raw documents into structured, useful data. This includes prompt and context design, tool and func

Standard Job Description Delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects Basic Qualifications Bachelor's degree in Computer Science or STEM Field AI interest and knowledge Understanding of SQL Some experience with a database manager (PG Admin for DBeaver, SQL Server Manager) Data flow support – Python Basic system design skills – knowing inputs and flows Strong analytical and problem-solving skills, with the ability to think critically and creatively. Experience in supporting change management initiatives or process improvement projects. Ability to work collaboratively with cross-functional teams and influence stakeholders. Ability to quickly absorb new information and concepts, with an enthusiasm for ongoing learning and professional development. Ability to prioritize and manage multiple tasks and projects, with a strong attention to detail and a focus on delivering high-quality results Desired Skills Experience in AWS cloud (using Lamda, knowing how to work in Glue) Experience with ETL workflows (Apache Airflow, Pysparx) Pay Information Full-Time Salary Range: $65500.00 - $121700.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Description Full-Time | Remote or Draper, UT Campus (Hybrid) Join Us in Transforming Healthcare Education At Joyce University, the work we do goes beyond technology—it helps move the University forward and supports our mission of preparing people to serve as competent professionals, advance their careers, and pursue lifelong learning. We are seeking a Data Engineer to help build and strengthen the data foundation that supports decision-making across Joyce University. In this role, you will design, build, and maintain the data pipelines and data warehouse that bring information together from the University's core systems and make it accurate, secure, accessible, and ready for analysis. You will work closely with teams across the University to understand their reporting and data needs and turn those needs into reliable, reusable data solutions. Your work will support everything from everyday operational decisions to strategic planning, compliance and regulatory reporting, accreditation, and institutional analytics. This is an opportunity to play an important role in building a modern, trusted data environment at a growing university focused on healthcare education. What You'll Do Data pipelines and integration Design, build and maintain ETL/ELT pipelines that load data from the SIS, LMS, CRM, and third-party sources. Build integrations through APIs, flat files and database connections, including scheduled and incremental loads. Monitor pipeline runs, set up alerting, and fix failures quickly with documented root-cause notes. Data warehouse and modeling Design and maintain the University data warehouse using dimensional modeling (star schemas, conformed dimensions, slowly changing dimensions). Create curated, reusable datasets for key areas such as enrollment, retention, course success, financial aid and finance. Tune SQL Server performance through indexing, partitioning and query optimization. Data quality, governance and security Build automated data-quality checks and reconcile warehouse figures against source systems. Apply role-based access, encryption and masking so data use complies with FERPA, GLBA and University policy. Reporting and analytics support Deliver data sources and semantic models for Sigma and help report builders use them well. Supply accurate data for state and federal reporting (IPEDS), accreditation and internal dashboards. Translate stakeholder requests into clear requirements, user stories and acceptance criteria. Planning and collaboration Evaluate current data systems and recommend improvements in architecture, tooling and process. Use version control (Git), code review and change management for all pipeline and database code. Share project status, risks and changes with stakeholders and leadership. Perform other related duties as assigned. What We Offer At Joyce, we believe great work starts with an environment where people feel trusted, supported, and connected to a meaningful purpose. Self-directed paid time off 12 paid holidays Medical, dental, and vision insurance Employer-paid short-term and long-term disability coverage 401(k) retirement plan Professional development opportunities Continuing education opportunities A mission-driven environment focused on healthcare education and student success The flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus Requirements What You'll Bring We welcome candidates who bring a strong technical foundation, curiosity, and a commitment to building data solutions that are useful, reliable, and sustainable. You should be comfortable working independently while also partnering with technical and non-technical colleagues across the University. Required Qualifications Bachelor's degree in computer science, information systems, data science, or a related field, or an equivalent combination of education and experience. 3+ years of experience building and supporting data pipelines or data warehouses in a production environment. Advanced SQL skills, including complex queries, stored procedures, and performance tuning, ideally in Snowflake. Hands-on experience with at least one ETL tool such as SSIS, Azure Data Factory, dbt, or similar. Working knowledge of dimensional data modeling and data warehouse design. Experience with at least one scripting language, such as Python or PowerShell, for automation and data processing. Clear written and verbal communication skills with both technical and non-technical colleagues. What You'll Love About Joyce At Joyce, we believe meaningful work and a great employee experience go hand in hand. Here, you'll find a community that cares about the work we do, the people we serve, and the people we work alongside. Purposeful Work – Your work helps support the people, systems, and decisions that move healthcare education forward and ultimately make a difference for our students. A Culture of Care – We believe in treating people with warmth, respect, and genuine care. Unreasonable Hospitality is the floor, not the ceiling. Flexibility & Trust – We trust our people to do great work. This role offers the flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus. Learning & Growth – We believe learning never stops. You'll have opportunities to build your skills, pursue professional development, and grow alongside a University that is continuing to evolve. People Who Care – You'll work with talented, collaborative colleagues who are committed to helping one another succeed and creating a positive experience for our students and each other. A Growing University – Joyce is a place where your ideas can make an impact. As we grow and innovate, you'll have opportunities to help shape how we work and build what comes next. Work That Matters – Every interaction moves the student forward. No matter your role, the work you do at Joyce contributes to preparing the next generation of healthcare professionals. About Joyce University Joyce University of Nursing & Health Sciences is committed to preparing people to serve as competent professionals, advance their careers, and pursue lifelong learning. Founded in 1979, Joyce has grown into a leading healthcare education institution with pre- and post-licensure programs designed to prepare students for meaningful careers in healthcare. We are a community that values Service, Learning, Integrity, Caring, and Excellence and we believe every interaction has the opportunity to move the student journey forward.

We're looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You build the systems that power insight — scalable pipelines, cloud-native data platforms, and intelligent workflows that turn raw data into business value at speed. In this role, you'll architect and own our data infrastructure end-to-end: designing pipelines, optimizing data warehouses on platforms like Snowflake and Redshift, and leveraging AI-assisted tooling and agentic development practices to move faster and smarter. You bring a builder's mindset, are fluent in modern data stacks, and are energized by a rapidly evolving technology landscape. This is a full-time, in-person role at our Victoria office. What you'll do: Support the building of data acquisition and preparation processes Creating data integration scripts and executing analytical queries that transform and utilize data for business insights Data pipeline maintenance/testing Facilitate data cleansing and data enrichment Identify ways to improve data reliability, efficiency, and quality Prepare data for predictive and prescriptive modeling Support machine learning operations (MLOps) Enable searching, data visualization, and advanced analytics — including building and maintaining dashboards and reports in Tableau and Power BI to drive self-serve analytics across the business Design, build, and maintain a semantic layer of data — a governed, business-ready data foundation that serves as the trusted source for BI, reporting, and AI data agents Work with stakeholders to understand needs for data structure, availability, and accessibility Selecting and integrating any data tools and frameworks required to provide requested capabilities Implement data security and protection practices Designing and developing databases Create technical documentation, such as user manuals, process flow diagrams, system architecture diagrams, etc. Responsible for ensuring the accuracy and quality of data What you bring: EXPERIENCE/TRAINING/EDUCATION: At least four years' experience is preferred. COMMUNICATION SKILLS: Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations. Ability to write reports, business correspondence, and procedure manuals. Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public. Problem-solving, teamwork, and effective communication with both technical and non-technical audiences are crucial. REASONING ABILITY: High Skills: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. MATHEMATICAL SKILLS: High Skills: Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. SKILLS/ABILITIES: Knowledge of various ETL techniques and frameworks Strong background with data modeling, data access, and data storage techniques Proficiency in Application Development code like Python, C#, R or Java Strong background to manage the entire back-end development life cycle of a data warehouse Proficiency understanding of Data Store technologies like Relational Databases and NoSQL but not limited to those Know

ABOUT ODAIA ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "?d?", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform ? it orchestrates. To learn more visit odaia.ai. ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster. OUR MISSION Reducing patients? time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. WHAT?S ON OFFER As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our customer?s success. You will partner closely with the Business Acceleration and Engineering teams throughout the entirety of the customer lifecycle and be responsible for managing all data-related activities. The ideal candidate will have strong technical fluency - especially in data analysis, querying, and ETL. Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you?ve worked on that relates to one of the ?What you bring? or ?What you will do? points, and share how you?d expand on it here at ODAIA. WHAT YOU WILL DO Work directly with customers to discover, assess, and integrate their data assets into our platform Collaborate with customers, our support team, and other internal teams to define technical requirements and triage reported issues for each implementation Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion Troubleshoot issues across the data pipeline - from ingestion and transformation through orchestration and system configuration - leading resolution efforts Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and automate it to improve scalability Uphold data security and privacy protocols in line with industry standards WHAT YOU BRING 3+ years of experience with data migration, ETL, and pipeline tools 3+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure Strong proficiency in Python and SQL Experience with APIs and integration frameworks Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset Strong problem-solving skills and a customer-centric mindset, comfortable owning ambiguous technical problems directly with customers Excellent communication skills, able to translate between technical and non-technical stakeholders Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset WHAT WE OFFER Values-Based Culture We Ignite Innovation, Own It, and Stand Together AI-Native Environment At ODAIA, we don't just deliver AI ? we live it. We use AI and agentic automation to 10x our efficiency and impact, encouraging constant curiosity in leveraging and integrating AI Comprehensive Rewards Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off Remote-First Flexi