Find Your Dream Career

What To Expect We are seeking a highly skilled and detail-oriented Manufacturing Accounting Data Engineer to join our team at Tesla. In this role, you will leverage your expertise in data engineering, cost accounting and manufacturing systems to build robust data pipelines and infrastructure. You will perform advanced manufacturing variance analytics, monitor and analyze costs, and provide actionable insights to drive efficiency, profitability, and process improvements in our high-volume manufacturing operations. This position enables cross-functional teams to make critical business and operational decisions by transforming large datasets into meaningful KPIs, visualizations, and dashboards. What You'll Do Data Pipeline and Infrastructure Development: Build and maintain data pipelines, databases, and infrastructure using tools like SQL, Python, and CI/CD to automate analyses and support manufacturing accounting operations. Acquire data from primary or secondary sources and ensure data systems empower operational and exploratory analysis Compliance, Audit, and Automation: Ensure compliance with internal policies, accounting standards, and regulations. Support audits by providing documentation and analysis of manufacturing costs. Automate analyses and pipelines to enable production and finance teams to leverage key insights efficiently Cost Analysis and Variance Analytics: Conduct in-depth analysis of manufacturing costs, track actual costs for processes and products, and perform variance analyses to identify deviations, cost-saving opportunities, and process improvements. Monitor cost trends, investigate drivers of fluctuations, and propose corrective actions in collaboration with cross-functional teams Insights and Reporting: Analyze manufacturing data across production lines to extract statistics, identify trends or patterns in complex datasets, and depict insights via innovative dashboards and reports for upper-level management. Drive meaningful improvements to production efficiency and financial reporting Cross-Functional Collaboration and System Improvements: Work closely with Controls, Process, Manufacturing Engineers, Finance, Operations, and other stakeholders to develop manufacturing variances, inventory, and scrap data collection activities, improve reporting tools, and enhance underlying data systems. Identify underutilized data sources and think outside the box to develop new ways to gather actionable insights for business decisions Inventory and Cost Control: Perform inventory analysis to ensure accuracy, identify discrepancies, and optimize control processes. Implement cost control measures, evaluate cost-saving initiatives, and propose strategies to enhance manufacturing efficiency and reduce expenses What You'll Bring Degree in Accounting, Finance, Data Engineering, Computer Science, or equivalent experience. CPA license, MBA, or relevant certifications preferred but not required 2-4 years of experience in data engineering, cost accounting, or a similar role within manufacturing environments, including working with large datasets and Manufacturing Execution Systems Strong technical skills in SQL for data extraction and manipulation, Python for automation, Tableau (or similar) for visualizations, advanced MS Excel, and ERP systems Deep understanding of manufacturing processes, cost accounting principles, financial analysis, cost modeling, and variance analysis Excellent analytical skills, attention to detail, problem-solving abilities, and the capacity to interpret complex data for actionable decisions Ability to thrive in a fast-paced, evolving environment, with strong communication, collaboration, and decision-making skills 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) , Tesla

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company's products include Grammarly's writing assistance, Docs' collaborative workspace, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity As a Data Engineer on the Business Unit (BU) Pod supporting Go , you'll build the pipelines and data models that help us understand how people use Superhuman's proactive AI assistant. You'll work closely with Product, Engineering, and Data Science to give teams the data they need to improve the product and measure its impact. Go helps people where they already work, through conversations, inline suggestions, and built-in and custom agents. Understanding how people use these experiences takes more than counting clicks. Your work will help teams see where users get stuck, which capabilities they find useful, and what brings them back. It will also help connect Go's usage to customer adoption and business growth. You'll own projects and datasets with a clear scope, supported by experienced engineers. Most of your work will focus on production pipelines and reusable data models that teams can use to answer their own questions. You'll also contribute analysis and dashboards when they help move a decision forward. As you learn the product and our systems, you'll have opportunities to take on more complex work. What You'll Do Build and maintain production data pipelines in Databricks that process product events, user activity, and agent interactions across Go. Develop datasets for onboarding, activation, engagement, retention, and conversion so teams can work from consistent metrics. Work with Product, Engineering, and Data Science to define what needs to be measured, improve event logging, and check that new features are represented correctly in downstream data. Make data models easy to understand and use, with clear definitions and documentation that support self-service through analytics and AI tools. Build focused analyses and dashboards when they help partners use the data or make a decision. Connect Go usage with customer and account data to help teams understand adoption, customer value, and Go's contribution to growth and revenue. Keep the datasets you own accurate, up-to-date, and reliable. Add tests and monitoring, investigate discrepancies, and fix the underlying causes. Improve pipeline and query performance, manage compute costs, and make the code you work on easier to maintain. You'll work alongside engineers and partners across Data Platform and Go. We care about understanding the problem, questioning assumptions, and following through when the answer takes some digging. You'll contribute to design decisions and have teammates to turn to as you build your expertise. Qualifications You have 2+ years of experience building and operating production data pipelines, ideally for product analytics or other critical business use cases. You're highly proficient in SQL and have experience writing, debugging, and optimizing transformations in a modern lakehouse or cloud data warehouse such as Databricks or Snowflake. You understand data modeling and warehouse design, and can turn complex source data into tables that others can understand and reuse. You test your work carefully, investigate unexpected results, and trace data issues back to their source. You have experience with workflow orchestration, version control, and deployment practices for data pipelines, using tools such as Databricks Workflows, Airflow, and Git. You use AI-assisted development tools such as Codex, Claude Code, or Cursor, and take responsibility for testing and validating the code they produce. You communicate clearly with technical and nontechnical partners. You can turn a product question into data requirements and explain the assumptions and limitations behind an answer. You're curious about how people use products and how your work can help teams make better decisions. You follow your work through to production, break problems into manageable steps, raise risks and dependencies early, and ask for help when you need it. Nice to have Experience using Python and/or Spark for data transformations, pipelines, or automation. Experience with product or growth analytics, including adoption funnels, retention, conversion, or A/B experiments. Experience working with event logging and behavioral data from web, desktop, or mobile products. Experience supporting AI products or agents, including measuring adoption, interaction quality, reliability, latency, or usage costs. Experience building dashboards or other data tools that product, analytics, and business teams use to answer their own questions. Compensation And Benefits Superhuman offers all team members competitive pay along with a benefits package encompassing the following and more: Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits) Disability and life insurance options 401(k) and RRSP matching Paid parental leave 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time Generous stipends (including those for caregiving, pet care, wellness, your home office, and more) Annual professional development budget and opportunities Superhuman takes a market-based approach to compensation, so base pay may vary by location. Our US locations are categorized into two compensation zones based on proximity to our hub locations. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information. Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined by compensation zone and may be modified in the future. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Superhuman is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada). Compensation Range: $117K - $205K

Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can't cram it all in here, but you'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying. The Opportunity BetterUp is looking for a Senior Analytics Engineer with experience building data modeling systems within a modern data stack, supported by intelligent data warehousing and adaptable business intelligence systems, to join our team. At BetterUp we believe data is critical to our success and this role on the Analytics Engineering team will be crucial to this strategy of delivering exceptional data products that will drive key business decisions. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and love data then this is the role for you. What You'll Do Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making. Build and maintain ELT pipelines from source systems to data warehouses. Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale. Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality. Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship. Contribute towards a robust data security strategy protecting sensitive information and content. Solve critical business problems through the application of programming, optimization, automation, and analytical skills. If you have some or all of the following, please apply: Minimum 5+ years of relevant experience in data engineering and/or analytics engineering Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB Expertise with data modeling and ETL/ELT (dbt preferred, pipeline development a plus) Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred) Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development Proven track record of working with data teams in a fast-paced, startup environment Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders Solutions-driven and thrives when given ambiguous, open-ended problems Proven success driving projects through implementation to completion, including stakeholder education and onboarding Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.) Hands-on experience using AI tools in your development workflow (e.g., Claude Code, Cursor, AI-assisted dbt and SQL development) AI at BetterUp Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. As a Senior Analytics Engineer, You'll Architect domain-level AI reinvention: identify the highest-leverage AI opportunities in how we build and scale our data products, secure the resources to test them, and install repeatable mechanisms that lock in proven gains across several teams Build scalable AI-powered systems, such as intelligent pipeline monitoring, automated data quality checks, and AI-assisted development, that change how analytical work gets done across multiple teams Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function We encourage all candidates to share examples of how they've used AI tools in their work—whether it's AI-assisted SQL generation, LLM-powered data documentation, automated anomaly detection, or other applications. We view AI fluency as a complement to craft, not a replacement for it. Benefits At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work) 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out — we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for this role is as follows: $175,000 – $220,000: New York City and San Francisco $158,000 – $198,000: All other locations We value your privacy. Your personal data will be processed in accordance with our Privacy Policy . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to support@betterup.co

Let's face it, a company whose mission is human transformation better have some fresh thinking about the employer/employee relationship. We do. We can't cram it all in here, but you'll start noticing it from the first interview. Even our candidate experience is different. And when you get an offer from us (and accept it), you get way more than a paycheck. You get a personal BetterUp Coach, a development plan, a trained and coached manager, the most amazing team you've ever met (yes, each with their own personal BetterUp Coach), and most importantly, work that matters. This makes for a remarkably focused and fulfilling work experience. Frankly, it's not for everyone. But for people with fire in their belly, it's a game-changing, career-defining, soul-lifting move. Join us and we promise you the most intense and fulfilling years of your career, doing life-changing work in a fun, inventive, soulful culture. If that sounds exciting—and the job description below feels like a fit—we really should start talking. We are a hybrid company with a focus on in-person collaboration when necessary. Employees are expected to be available to work from one of our office hubs at least two days per week, or eight days per month. Our US hub locations include: Austin, TX; New York City, NY; San Francisco, CA; and the Washington, DC metro area. Please ensure you can realistically commit to this structure before applying. The Opportunity BetterUp is looking for a Senior Analytics Engineer with experience building data modeling systems within a modern data stack, supported by intelligent data warehousing and adaptable business intelligence systems, to join our team. At BetterUp we believe data is critical to our success and this role on the Analytics Engineering team will be crucial to this strategy of delivering exceptional data products that will drive key business decisions. If you are passionate about helping people reach their potential, thrive in a fast-paced startup environment where you get to build the future, and love data then this is the role for you. What You'll Do Architect, build and maintain efficient and reliable data products (dbt models, pipelines, Looker explores, visualizations, etc.) that enable data driven decision making. Build and maintain ELT pipelines from source systems to data warehouses. Influence strategy and drive execution of our analytical roadmap delivering self-service business intelligence at scale. Provide leadership and mentorship to other engineers fostering collaboration, knowledge sharing and a high bar for quality. Improve end users trust and confidence by driving best practices with regards to data discoverability, observability, lineage and stewardship. Contribute towards a robust data security strategy protecting sensitive information and content. Solve critical business problems through the application of programming, optimization, automation, and analytical skills. If you have some or all of the following, please apply: Minimum 5+ years of relevant experience in data engineering and/or analytics engineering Advanced SQL skills with 5+ years of deep experience with Snowflake or similar DB Expertise with data modeling and ETL/ELT (dbt preferred, pipeline development a plus) Seasoned developer (5+ years) within a modern business intelligence tool (Looker preferred) Experience applying software engineering principles (testing, version control, code reviews, CI/CD, etc.) in your working process, to scale analytical development Proven track record of working with data teams in a fast-paced, startup environment Proven track record of successfully working cross-functionally with both technical and non-technical stakeholders Solutions-driven and thrives when given ambiguous, open-ended problems Proven success driving projects through implementation to completion, including stakeholder education and onboarding Obsessed with data protections and privacy (i.e. PII, GDPR, FedRAMP, FIPS, etc.) Hands-on experience using AI tools in your development workflow (e.g., Claude Code, Cursor, AI-assisted dbt and SQL development) AI at BetterUp Our team thrives at the intersection of human expertise and AI capability. As an AI-forward company, adaptation and continuous learning are part of our daily work. We're looking for teammates who are excited to evolve alongside technology – people who experiment boldly, share their discoveries openly, and help define best practices for AI-augmented work. These professionals thoughtfully integrate AI into their work to deliver exceptional results while maintaining the human judgment and creativity that drives real innovation. During our interview process, you'll have opportunities to showcase how you harness AI to learn, iterate, and amplify your impact. As a Senior Analytics Engineer, You'll Architect domain-level AI reinvention: identify the highest-leverage AI opportunities in how we build and scale our data products, secure the resources to test them, and install repeatable mechanisms that lock in proven gains across several teams Build scalable AI-powered systems, such as intelligent pipeline monitoring, automated data quality checks, and AI-assisted development, that change how analytical work gets done across multiple teams Establish governance frameworks and best practices for responsible AI usage at scale within the analytics function We encourage all candidates to share examples of how they've used AI tools in their work—whether it's AI-assisted SQL generation, LLM-powered data documentation, automated anomaly detection, or other applications. We view AI fluency as a complement to craft, not a replacement for it. Benefits At BetterUp, we are committed to living out our mission every day and that starts with providing benefits that allow our employees to care for themselves, support their families, and give back to their community. Access to BetterUp coaching; one for you and one for a friend or family member A competitive compensation plan with opportunity for advancement Medical, dental, and vision insurance Flexible paid time off Per year: All federal/statutory holidays observed 4 BetterUp Inner Workdays (https://www.betterup.co/inner-work) 5 Volunteer Days to give back Learning and Development stipend Company wide Summer & Winter breaks Year-round charitable contribution of your choice on behalf of BetterUp 401(k) self contribution We are dedicated to building diverse teams that fuel an authentic workplace and sense of belonging for each and every employee. We know applying for a job can be intimidating, please don't hesitate to reach out — we encourage everyone interested in joining us to apply. BetterUp Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, disability, genetics, gender, sexual orientation, age, marital status, veteran status. In addition to federal law requirements, BetterUp Inc. complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. At BetterUp, we compensate our employees fairly for their work. Base salary is determined by job-related experience, education/training, residence location, as well as market indicators. The range below is representative of base salary only and does not include equity, sales bonus plans (when applicable) and benefits. This range may be modified in the future. The base salary range for this role is as follows: $175,000 – $220,000: New York City and San Francisco $158,000 – $198,000: All other locations We value your privacy. Your personal data will be processed in accordance with our Privacy Policy . If you have any questions about the privacy of your personal data or your rights with regards to your personal data, please reach out to support@betterup.co

About Actively AI Actively AI is defining a new category: Intelligence-Led Revenue. Revenue organizations have always been bottlenecked on human capacity. Reps triage which accounts get attention. Context disappears at every handoff. On any given day, the vast majority of accounts have exactly zero people thinking about them. Actively addresses this at the structural level. Our platform deploys Per-Account AgentsTM across our customers' TAM, working 24/7 to research, identify opportunities, and advance next steps without being asked. Leading enterprises including Ramp, Ironclad, and Samsara are already making this shift. Our co-founders are former Stanford AI researchers, and the team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We've raised $68M from TCV, First Harmonic, Bain Capital Ventures, First Round Capital, and more. About the Role: We're looking for someone to own data and analytics end-to-end at Actively . This isn't a narrow analyst role — you'll architect the internal systems that help us learn from every customer interaction, GTM workflow, and product signal, and make those insights actionable across the business. You'll work at the intersection of data engineering, analysis, and product thinking — building the tools that help us move fast, learn precisely, and wire insight directly into the AI agents and experiences we ship. What You'll Do: Own internal metrics, dashboards, and reporting across product, GTM, and usage Build systems to track, analyze, and interpret key signals across the customer and product journey Help design and implement internal "sensors" to uncover buried insights Translate messy, real-world data into clean, structured inputs for our reasoning agents Define and evolve our analytics stack — dbt, Snowflake, Mode, etc. — with an eye toward speed and clarity Work cross-functionally with founders, engineering, and forward-deployed teams to prioritize and act on what matters Who You Are: A builder — you like owning problems end-to-end and working from first principles Comfortable with both SQL and Python, and fluent in the modern data stack Analytical by instinct — you've spent enough time with data to develop intuition and taste Bonus: background in math, physics, or quant research Bonus: experience working with GTM teams or building analytics for sales/product workflows Benefits: 🚀 Competitive Early-Stage Equity ⚕ Health, Dental, Vision Coverage 💡 Unlimited PTO + Recharge Days 🍽️ Catered Lunch on Tuesday & Friday w/ Dinners Everyday! 🍿 Fully Stock Kitchen 💻 Cutting-Edge Tech & Tools 🌴 Annual Off-sites & Monthly Events 🚆 Commuter Benefits 🏢 Cozy Office in NYC The base salary range for this full-time position based in New York is: $120,000 - $160,000. This position is eligible for incentive stock options, subject to the terms of Actively AI's applicable plans. Actively AI offers the following benefits for this position, subject to applicable eligibility requirements: health, dental and vision insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please discuss with your recruiter for more information. Note on Pay Transparency: Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. Compensation Range: : $180,000 USD - $210,000 USD Why Join At Actively, you write playbooks rather than follow them. You own outcomes, not just tasks, and see directly how your work changes what customers can do — across a product and go-to-market motion that is scaling fast. The team is high-caliber and low-ego: people who work from first principles, move with urgency, and care deeply about building something that drives real value. If that's the kind of challenge you're looking for, Actively is the right place. Benefits 🚀 Competitive Early-Stage Equity ⚕ Health, Dental, Vision Coverage 💡 Unlimited PTO + Recharge Days 🍽️ Catered Lunch on Tuesday & Friday, Dinners every day! 🍿 Fully Stocked Kitchen 💻 Cutting-Edge Tech & Tools 🌴 Annual Off-sites & Monthly Events 🚆 Commuter Benefits 🏢 Cozy Office in NYC

Ever imagined saying, "I helped launch the future of transportation"? We're rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives - with no one inside - powered by our world-first Remote Driving technology on real public streets. We're live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab. Our mission is simple: replace private car ownership with a faster, cleaner, door-to-door mobility model. If you want to build something real, visible, and genuinely transformative, you'll feel right at home here. What's happening at Vay First to roll out vehicles in both Europe and the USA on public roads without a human being inside & currently the 2nd largest commercial, driverless car fleet in the Western World. We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the US, showcasing our ability to integrate our system into heavy-duty commercial vehicles and expand the applications of our tech across the US. We've completed over 150,000 trips so far and are busy multiplying our Las Vegas fleet just to meet demand! ...And soon we'll be expanding across the US & Europe 🚀 Why this role is exciting As a Senior Analytics Engineer, you'l be sitting at the core of our Operations team, where data drives day-to-day decisions. You'll work directly with onsite operational leaders to identify opportunities, solve real-world problems, and build analytics products that materially improve performance, efficiency, and customer experience. This is a high-impact, hybrid analytics engineering / business intelligence role. You won't be buried in dashboards no one uses. You'll shape how our customer-facing services operate and scale, with a direct line between your work and operational outcomes. If you want ownership, visibility, and impact, this role delivers all three. What you'll be driving Own end-to-end analytics solutions, from data modeling (SQL, dbt) through to dashboards and insight delivery (Superset, Grafana, Dekart). Act as the primary data partner for Operations and Mobility Product, working closely with Ops and Product leaders to: Identify opportunities Define and refine KPIs Drive continuous performance improvement Deliver measurable impact across critical operational areas including: Fleet readiness Maintenance performance Charging and vehicle positioning optimization Overall operational efficiency Design and maintain self-serve dashboards, alerts, and reporting interfaces that give Ops teams real-time visibility and decision-making power. Translate business and operational questions into actionable, data-driven solutions using strong domain context and product thinking. Collaborate with Data Science teams to align on data practices, tooling, and standards across Vay. Move fast, iterate often, and take ownership, balancing pragmatic delivery with building scalable, long-term data foundations. What are we looking for Strong end-to-end analytics ownership: you've taken data products from concept through to production. Proven track record of impact : your work has directly improved business or operational outcomes. Expert-level SQL skills: complex, performant queries are second nature. Strong experience with dbt: including designing sustainable, reusable data models. Proficiency with BI tools such as Superset, Looker, or similar, and a sharp eye for clear, actionable dashboards. Comfortable working autonomously Experience with cloud data warehouses (e.g. Snowflake, BigQuery). Familiarity with modern data tooling, including: ETL / reverse ETL tools (Airbyte, Hightouch) Data flow / integration tools (NiFi, OpenFlow) Comfortable handling light engineering work, such as: Working with APIs Configuring visualization tools Setting up integrations Solid understanding of time-series data and operational metrics, ideally with exposure to observability or real-time monitoring. Nice to have Experience in fast-paced environments such as startups, scale-ups, or operations-heavy businesses. Familiarity with scripting (Python, JavaScript, etc.) for automation or lightweight tooling. Exposure to operational domains like mobility, logistics, fleet, or marketplaces. A strong product mindset: you think in terms of users, feedback loops, and delivered value, not just queries and pipelines. Why choose Vay 💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality 🌍 Huge scope for impact in a fast paced environment 💰 Stock options: A stake in Vay's future - not just a salary 🌴 Flexible Paid Vacation Days 🚗 All Vay team members receive 30% off their Vay rides 🛍️ Exclusive external discounts 💼 $350 Home Office Set-up ✈️ Relocation financial assistance when relocating to Las Vegas 🎊 Regular team events throughout the year For more information on Vay's physical demands, working environments and safety requirements, you can review this link. We'll also cover anything specific to this role during the first interview. We'd love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply. We welcome applications from all backgrounds and experiences. If you're excited about shaping something truly groundbreaking, we'd be happy to hear from you. Curious to experience Vay yourself? In Las Vegas? Use the code VAYCANDIDATE for $10 off your first trip in Las Vegas! Download the "Vay" app from the Apple or Google Play store & off you go!

About FINNY FINNY is a growth platform for financial advisors. We are on a mission to make great financial advice easier to find. Today, access to quality financial guidance is limited, not because advisors don't exist, but because the right connections are hard to make when it matters. We're fixing that with AI-powered tools that help advisors find, engage, and retain the clients they can genuinely help. We've raised a $4.5M Seed from Y-Combinator in S24 and now $17M Series A led by Venrock. We work with over 1,000 firms across the wealth management ecosystem, and have been recognized as the leader in fintech innovation—winning #1 at the Morningstar Fintech Showcase, #1 at 2026 Wealthies, and being featured across the industry. We're based in Chelsea, NYC, building fast and ambitious systems at the intersection of data, AI, and real-world wealth services. About The Team You'll join FINNY Engineering and report to our VP of Engineering. The team today is product and backend engineers and a data team. You'll be our first analytics engineer, building the foundation of the company's analytics warehouse on dbt Core and Snowflake. About The Role FINNY is a metrics-driven company. Until now, our analytics warehouse has been a shared role, divided across several teams. We're bringing it together in a new structure, on a new foundation, and we're hiring a senior Analytics Engineer to own it end to end: the models, the definitions of the metrics the company runs on, and the reports people trust. You'll work directly with operations, sales, marketing, growth strategy, finance, product and engineering. Success looks like: the metrics the company runs on have tested definitions, a small set of reports is the first place people look, AI tools answer questions about those metrics correctly, and every key business area is covered to the same standard. As the data team grows, you'll help hire and lead it. What You'll Do Own the analytics warehouse day to day: staging and core models, dimensions, facts and identity resolution across our systems Define the metrics FINNY runs on, with tests and documentation, so every team works from the same numbers Partner with internal stakeholders across the company to turn their questions into models and reports they use Own the BI layer: choose the tool and semantic layer, and keep a small set of authoritative reports Make the warehouse something AI tools can answer from correctly Run the dbt project like software: version control, code review, CI, tests and documentation What We're Looking For Typically 4+ years in analytics engineering, data engineering or analytics, including owning models that other teams relied on Strong SQL and dimensional modeling: facts, dimensions, conformed keys, and a clear grain for every table dbt (or an equivalent tool) in production, with git, tests and CI You've defined business metrics people used to make decisions, and fixed the cause when two numbers disagreed You work directly with non-technical partners and turn vague questions into clear answers—and say "not yet" with a reason Scrappy, with ownership: you jump in where help is needed, including work outside your job description You're excited to work in person, 5 days a week, in our Chelsea, NYC office Nice To Have First or early data hire at a startup Modeled complex pricing, billing, subscription or usage data Made data usable by AI agents: documentation, a semantic layer, guardrails Event analytics (PostHog or similar) and CRM data Compensation & Benefits FINNY offers a competitive compensation package including: Competitive salary and equity Medical, dental, and vision insurance Flexible paid time off 401(k) Food and meals provided in our NYC office Team offsites and events Equal Opportunity Employer FINNY is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $180K - $210K

About The Company Valon is the leading AI platform for mortgage servicing, building the AI-native operating system for regulated finance. Before providing the system of record that powers the entire industry, we built and ran our own mortgage servicer on it. That gave us a real regulated environment to prove our technology could replace the mainframe systems servicers have used for decades. Carrington acquired that servicer and adopted ValonOS as its core platform, allowing us to focus entirely on scaling our SaaS platform. ValonOS is now on track to power 1 in 6 U.S. mortgages across major mortgage servicers like Newrez, Carrington, and ServiceMac. Every process on the platform is structured and programmable, enabling our AI agents to perform core servicing work, like handling payments, escrow, and homeowner questions, directly within the system's controls. We recently raised a $150 million Series D at a $2.3 billion valuation by new investor Ribbit Capital, with continued support from existing backer a16z, amongst others. About The Role We are seeking a Senior Analytics Engineer to take ownership of our client reporting data models and pipelines. This crucial role involves managing the layer of our data models responsible for transforming raw data into reliable, structured, and performant assets for reporting, analysis, and AI initiatives. This role sits at the intersection of analytics and data engineering, ensuring data is production-grade, auditable, and easily accessible across the organization and our customers. You will own client reporting, standardize our data modeling practices, manage the orchestration of analytical workflows, and provide hands-on analytical support for high-stakes operational business functions, including reporting and performance management. Responsibilities Client Reporting & Infrastructure: Scope and develop new client reports, while also maintaining and enhancing existing reporting pipelines. Collaborate with external clients and our internal client success team to effectively manage and triage inbound requests. Partner with Valon Technologies' data team to improve the underlying infrastructure for client reporting. Data Modeling & Transformation: Design, build, and maintain the production-grade data models and analytical layers using our existing stack of BigQuery, dbt, and Airflow to ensure reliability and structure at scale. Data Governance & Quality: Partner with engineering and product teams to define and implement data contracts and observability frameworks to guarantee data quality and auditability for a regulated environment. Analytical Support: Write complex SQL queries, build dashboards (in tools like Hex or Looker), and conduct ad hoc analysis to empower operational leaders and provide deep root-cause insights into business performance. Ideal Background & Qualifications Experience: 7+ years of combined experience in data engineering, analytics engineering, or a highly technical data analytics role, ideally at a technology company or financial institution (Series B–E startup experience is a plus). Technical Stack: Expertise in SQL (required), strong proficiency in Python, and proven experience with core modern data stack tools like dbt and Airflow. Communication: Communicate effectively with external clients, clearly synthesizing their requests, establishing realistic timelines, and proactively managing expectations, including pushing back when necessary to ensure successful outcomes. Architecture & Quality: Deep understanding of data architecture patterns (e.g. medallion architecture) and experience implementing data quality frameworks, observability tools, or data contracts at scale. Analytical Tools: Experience with data visualization tools (Hex, Looker, or equivalent) and proficiency in Google Sheets/Microsoft Excel. Mindset: A strong product mindset, focusing on the usability, reliability, and developer experience of the data systems you build. Problem-Solving: Proven ability to solve complex problems independently and build repeatable processes around novel situations. Minimum Qualifications Bachelor's Degree or equivalent professional experience in Computer Science, Data Analytics, or a similar field.t professional experience in Computer Science, Data Analytics, or a similar field. Benefits Compensation: competitive salary and 401(k) plan Health & well-being: we'll invest in your physical and mental well-being with comprehensive medical, dental, & vision benefits Grow together: Company-wide orientation for you to successfully onboard and other learning & development opportunities, including regular review cycles that feature 360-degree feedback Generous time off: 17 days paid time off, sick days, and 11 company holidays Baby bonding time!: 12 weeks off for both birthing and non-birthing parents - fully paid so you can focus your energy on your newest addition Throughout the interview process, please remember that emails will only be from valon.com email addresses. We will never ask for any personally identifiable information during the interview process itself. Please reach out to talent@valon.com if you have any requests to verify the authenticity of an outreach. Valon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. Valon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Compensation Range: $135K - $180K

Description Team : EntreLeadership Location : Franklin, TN—on-site, relocation assistance available, flexible schedules available Salary : $77,000–$113,000/year* + profit sharing + benefits Range depends on skill level and overall experience. A Little Bit About Us :You might know us from our founder and CEO, Dave Ramsey, who's given no-nonsense money advice on the radio since 1992. Three decades later, Ramsey Solutions is a household name in personal finance, with a mission to change the toxic money culture for good. Our Mission: Ramsey Solutions provides biblically based, commonsense education and empowerment that give HOPE to everyone in every walk of life. Here's a Taste Of Our Benefits Health insurance (includes plans eligible for an HSA—with a company match up to $500!) 401(k) retirement plan with 4% match/company contribution Annual wellness, counseling and grocery membership reimbursement On-campus cafe with subsidized pricing for breakfast, lunch and coffee bar Dependent care FSA Tons of cultural activities, like weekly devotional, leadership development courses, Battle of the Bands, and one epic Christmas party! Where And How You'd Work Ramsey Solutions Headquarters is located just outside of Nashville in Franklin, Tennessee. We value our strong, unified company culture because we believe the best work is done together. That's why all of our team members work on-site under the same roof. But work-life balance is also important to us, so we offer flexible work schedules to take the stress out of appointments, family obligations and other needs that may pop up. While every team member has a designated workspace (with an electronic sit-stand desk), our campus was designed to house a variety of unique work and play zones (e.g., quiet library space, coffee bar/lounge areas, recreational game zone, and outside/patio work and break areas). What You'd Do In This Role The Analytics Engineer produces consumable data products, including analytical data models and curated tables, metrics, and visualizations that enable others to explore trends, ask questions, and apply data in decision-making. The Analytics Engineer focuses on enabling reasoning by others through well-designed warehouse models and clear visual representations of data. You're Probably a Match If You have 2+ years of experience as an analytics engineer, data analyst, or another similar role. You have the ability to clearly communicate with both technical and non-technical stakeholders You are proficient in SQL and scripting languages (for example: Python and R) You have experience with several of the following: Data pipelining and ETL/ELT processes Data modeling and dimensional modeling Data visualization (e.g. Streamlit, Plotly, Shiny) What Winning Looks Like Build and maintain data warehouses and data marts, ensuring high standards of data quality, accuracy, and consistency across the platform. Design, develop, and optimize scalable data pipelines and ETL processes using modern tools (e.g., SQL, Python, Apache Airflow, dbt, Snowflake, AWS Redshift), including monitoring for performance and data integrity. Establish and enforce robust data quality checks and monitoring systems to proactively identify and resolve data issues. Develop and maintain source-of-truth reports and dashboards for key business metrics, ensuring consistency across all reporting channels. Build deep expertise in key datasets and data models to support reliable, well-informed analytics. Partner with customers and stakeholders to understand business needs and translate them into actionable data products. Serve as a trusted advisor to analytics customers and stakeholders on data-related strategy and best practices. If Ramsey Solutions sounds like a workplace where you can get excited about Mondays, apply today. We can't wait to hear from you! EOE, including disability/vets We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

Thirty Madison is now part of Remedy! You can read more about the acquisition here. We are excited to join forces and continue to revolutionize healthcare accessibility! About the role We're hiring a Senior Analytics Engineer within our centralized data team to own a core area of our data, such as financial performance, operations, or growth and retention, from raw sources through to the metrics leadership uses to make decisions. You'll build the dbt models and semantic layer behind those metrics. You'll also act as the analytical partner to the teams that rely on them. This is a high-ownership role on a lean team that moves fast. Requirements often start ambiguous, and you'll be expected to find the highest-value problems before they reach anyone's roadmap. Our stack: Snowflake, dbt, Fivetran and Hex Comp | Perks | Benefits The base pay range for this role is $160,000-$180,000 Potential to earn equity Robust and affordable Medical, Dental, and Vision plan options Flexible time off policy Base pay offered may vary depending on job-related knowledge, skills, and experience. What you get to do every day Own a functional data area. Be the lead analyst for a domain like finance or growth and retention, the first person stakeholders turn to for answers and insight. You'll own its models, metrics, analysis and roadmap. Architect core data models. Design and maintain silver and gold layer models in dbt using Kimball dimensional modeling (facts and dimensions). These power segmentation, targeting, automation and analytics for your area. Define and operationalize metrics. Turn company-wide metrics into governed, consistent definitions. Examples include retention, funnel conversion, LTV/CAC/ROAS and revenue. Steward the semantic layer. Treat our BI tooling (Hex) as a product. Own semantic layer health, cross-team modeling standards and self-serve data products, beyond building dashboards on request. Make the numbers trustworthy. Set standards for testing, documentation and freshness. Lead root-cause analysis on data discrepancies, then fix the underlying architecture so they don't recur. Partner with the business. Turn ambiguous questions from Marketing, Growth, Finance and Product into clear requirements and scalable solutions. Work without dedicated PM support and use data to influence decisions. Communicate clearly. Explain technical decisions, trade-offs and results to audiences from engineers to senior leadership. Set and manage expectations along the way. Improve upstream data. Work with product and engineering on event taxonomy, instrumentation quality and consistency across app, web and backend. What you bring to the role 5+ years in analytics, analytics engineering, data engineering or a closely related role. Deep SQL in a cloud data warehouse, ideally Snowflake. You use it to validate data quality, investigate anomalies and back your own analysis. Production experience with dbt: modeling, testing, documentation and project structure. Strong data modeling skills, including Kimball dimensional modeling (star schemas, slowly changing dimensions) and layered medallion architectures. You know when to break the rules. Business and analytical judgment. You can tell which question matters and how to answer it, not just how to model it. A track record of leading cross-team data initiatives, including gathering requirements yourself from technical and non-technical stakeholders. Clear, confident communication with senior leadership, including pushing back and resetting expectations when needed. Comfort with ambiguity and a fast pace. You prioritize well and ship without waiting for perfect specs. Hustle and a bias for action. You roll up your sleeves, do what the moment needs, whether that's a quick ad-hoc pull or a weekend fire drill on a broken pipeline, and follow through until it's done. Bonus Points Experience supporting Marketing, Growth, Sales or Product teams, such as attribution, paid media, funnels or retention. Experience owning a BI platform or semantic layer (Hex, Looker, dbt Semantic Layer or similar) as a product. Experience building semantic layers and documentation designed for AI and agentic workflows. Familiarity with product analytics instrumentation and event tracking. Background in consumer health, subscription or e-commerce businesses. U.S. Applicants Only Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Remedy we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Contact us at recruiting@thirtymadison.com to request accommodation. This employer participates in E-Verify and will provide the federal government with your I-9 Form information to confirm that you are authorized to work in the U.S. Please be aware that there are fraudulent entities who are falsely claiming to be or represent Remedy in order to solicit sensitive personal information or payment. Remedy is not in any way associated with these entities or practices. The safety and integrity of those seeking employment with us is of the utmost importance and we actively work with our legal and security teams to prevent future incidents. Remedy will never ask for sensitive information or payment when engaging with job seekers. The entities use many methods to perpetuate these scams, including but not limited to: participating in a text-only interview, using Remedy's trademarks on their correspondence, or providing you with a seemingly legitimate offer letter. If you suspect you are a victim of this scamming, we encourage you to cease further contact and report the crime to The Federal Trade Commission.

Who We Are Good Inside is redefining parenting - not as something that should "just come naturally," but as a skill to learn and practice. Founded by Dr. Becky Kennedy and Dr. Erica Belsky, we combine sturdy leadership with innovative technology to give parents personalized guidance, AI-powered support, and a global community. Our mission: help parents raise resilient, confident kids in a changing world. We've already reached millions, and we're just getting started. We're refining our product and expanding our reach to empower even more families. We're looking for bold, high-ownership problem-solvers who want to build something new, tackle big challenges, and be at the forefront of change. The Opportunity Good Inside is seeking a Senior Analytics Engineer to own the data foundation behind our product. You'll build the models, tracking, and pipelines that tell us how parents discover, adopt, and keep coming back to Good Inside, and you'll use them to answer Product's most important questions yourself. This is a full stack role, weighted toward analytics engineering. You'll design production-grade dbt models for product events and subscription data, own our Amplitude instrumentation and tracking plans, and keep data fresh, tested, and trusted. Because you'll sit close to Product, you'll also turn that foundation into analysis, experiment readouts, and recommendations, using statistical methods when a question needs more than a dashboard. You'll be the bridge between Product, Engineering, and the Data team, so tracking and metrics are built in from the start rather than patched in after launch. This role is ideal for someone who thinks like a software engineer, has embedded with product teams at a subscription business, leverages AI-assisted workflows to move faster, and takes pride in clean systems that change what gets built. This is a hybrid role based in Manhattan with three days onsite. What You'll Own Build the Product Data Foundation Design and maintain clean, modular dbt models for product events, engagement, and the member journey, from onboarding and activation through retention. Create well-documented transformations so Product trusts the numbers. Build Tracking and Instrumentation Maintain our Amplitude event taxonomy and tracking plans. Partner with PMs and engineers so new features ship with the right events, and keep definitions consistent across app and web. Model Subscription Data Model the subscription lifecycle (trials, conversions, upgrades, churn, reactivations) and connect it to product behavior, aligned with Engineering and Finance. Protect Data Quality Set up testing, monitoring, and alerting. Catch inconsistencies early, improve freshness, and make sure teams aren't waiting on or questioning the data. Turn Data into Product Decisions Answer Product's highest-impact questions directly: funnel and cohort analysis, experiment readouts, and churn or propensity models when a question calls for it. Lead with a clear recommendation. Enable Self-Serve Build the semantic layer and dashboards in Omni and Amplitude so Product can answer routine questions without waiting on Data. Partner and Influence Work closely with Product, Engineering, and the Data Analytics team, weigh in on architecture decisions with downstream data impact, and mentor others on the team. Balance competing priorities without lowering the bar. Your Skills & Experience 8+ years in analytics engineering, data engineering, or product analytics roles, with at least 2 supporting a product team Deep hands-on dbt experience in production Expert SQL and strong Python for modeling, pipelines, and analysis Experience with a modern data warehouse (Snowflake) and orchestration and ingestion tools (Airflow, Fivetran, or similar) Deep experience with event-driven product data and Amplitude (or Mixpanel, Heap), including owning event taxonomy and tracking plans Strong understanding of subscription businesses: trial conversion, retention cohorts, LTV, churn, and Stripe or app store billing data A track record of analysis that changed what got built, plus solid grounding in experimentation and statistics Experience designing clean, modular, well-tested data models for analytics use Proficient with Git and collaborative engineering workflows Make sound architectural decisions without heavy oversight, balancing speed with long-term maintainability Embrace AI-assisted development tools to increase velocity while keeping a high bar for accuracy Clear communicator who leads with a recommendation and thrives in fast-moving environments Bonus Points Direct-to-consumer subscription experience, especially with app store and web purchase flows and the gaps between them Data science experience: churn or propensity modeling, survival analysis, or causal inference Pricing, packaging, or paywall experimentation Mobile app analytics and attribution Familiarity with Segment, Braze, and BI semantic layers (Omni a plus) Experience mentoring analysts or teaching stakeholders to self-serve What We Offer Compensation: Annual salary for this role will be $185k – $195k Company Equity Comprehensive benefits package 401k + Company match Time off to recharge Hybrid work environment A high-ownership, high-performance, high-collaboration culture Equal Employment Opportunity Good Inside is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. As much as we believe in focusing on the parent behind the parenting and the child behind the behavior, we believe in focusing on the person behind the job. We're dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the good inside of everyone.. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Good Inside's privacy practices, see our Privacy Policy. California applicants, please also see our CA Applicant Privacy Notice.

Job Summary The Data Analyst collects, validates, analyzes, and reports healthcare data to support Population Health and Care Management. The role identifies trends and develops projections to improve care-gap closure, HEDIS and UDS performance, patient engagement, quality improvement, and operational decisions while protecting sensitive patient information. Responsibilities included but not limited to: Analyze and validate quantitative healthcare data; develop trends, evaluations, and projections for care gaps and UDS measures. Monitor HEDIS performance monthly and maintain CCHC dashboards and scorecards in Excel, PowerPoint, and Power BI. Extract and prepare data from Epic (Cogito/Clarity/Reporting Workbench), Excel, and SharePoint for population health reporting and research. Apply appropriate queries, analytical methods, and statistical tools to support timely, accurate reporting and operational decisions. Identify barriers and opportunities to improve care-gap closure, patient engagement, and re-engagement of patients lost to care. Present findings through clear data visualizations; provide analytical support to the Population Health team. Coordinate data collection and analysis projects and collaborate with the Program Development Data Analytics Manager to define research datasets, populations, fields, and source systems. Perform data-quality checks, validate source data, and resolve reporting discrepancies. Maintain confidentiality and comply with applicable HIPAA, IRB, and OMB requirements, access controls, and secure PHI handling procedures. Other duties as assigned Minimum Qualifications: Required Qualifications Bachelor's degree or equivalent relevant experience; minimum three years of healthcare-related experience. Proficiency in Excel for data analysis, validation, reporting, and scorecards. Ability to analyze healthcare metrics, explain findings to clinical and administrative teams, and manage reporting deadlines. Knowledge of HIPAA, PHI confidentiality, and secure data handling. Preferred Qualifications Experience with Epic reporting, HEDIS, UDS, and care-gap measures. Power BI, Tableau, SharePoint, and research/evaluation or informatics experience. SQL, statistical software, or statistical programming; may be learned on the job as needed. Employee Benefits offered to Fulltime Staff: Blue Cross Blue Shield Medical Insurance Blue Cross Blue Shield Dental and Vision Insurance Supplemental Benefits Life Insurance (Provided by the company)