• Responsible for analytic data needs of the business unit • Handle complex data projects and acts as a lead for other Data Analysts • Provide advanced analytical support for business operations in claims, provider data, member data, clinical data, HEDIS, pharmacy, external reporting • Extract, load, model, and reconcile large amounts of data across multiple system platforms and sources • Review data to determine operational impacts and needed actions; elevate issues, trends, areas for improvement and opportunities to management • Develop reports and deliverables and make recommendations to management • Model data using MS Excel, Access, SQL, and/or other data ware house analytical tools • Assist management in driving business decisions based on data • Ensure compliance with federal and state deliverable reporting requirements by performing data quality audits and analysis • Assist with training and mentoring other Data Analysts • Assist with determining work load and related activities for other Data Analysts

• Partner with teams across Marketing, People, and Finance to deliver trusted analytics that clarify performance, surface trends, and support decision-making. • Support the People team with workforce analytics, including tracking and explaining attrition rates, acceptance rates, and key drivers. • Enable the Marketing team to better understand the customer journey, evaluate campaign performance and ROI, and identify drop-offs and conversion opportunities. • Partner closely with Data Engineering to ensure KPI definitions are clearly defined, consistently applied, and correctly implemented in data models. • Review and validate self-serve analytics outputs (e.g. Hex threads), ensuring insights align with established metrics and definitions. • Write and maintain SQL-based analyses within Snowflake and dbt to support reporting and ad-hoc investigation. • Perform investigative analysis to identify anomalies, trends, and drivers of business performance.

Found is transforming personalized weight care with an evidence-based platform that combines modern medicine, behavior change support, personalized coaching, and a supportive community. Since launching in 2019, Found has served over 250,000 patients across the U.S., making high-quality, affordable treatment more accessible while reducing healthcare costs for consumers, employers, and payors. Backed by $130M+ from top investors including Atomic, GV, WestCap, IVP, TCG, and Define Ventures, Found is redefining how personalized weight care is delivered at scale. The opportunity: The Director of Data Analytics is a strategic leader responsible for owning the roadmap for data analytics across all of Found.  As the end-to-end owner, you will build on the foundation we have established in analytics by collecting and synthesizing data to make better decisions and drive strategy for the entire company.  This role reports into the VP of Strategy and Business Operations and will work closely with leaders across the business to develop measurements of performance and drive better decision-making.  As part of a data-driven and data-informed organization, the Director of Data Analytics will play a key role in critical decisions made each day to further Found’s vision to transform the way people treat their bodies and navigate their weight for longer, healthier, more fulfilled lives. What you’ll do: Define and execute the data analytics vision for the entire company, ensuring our modern data stack scales with our business needs. Develop the frameworks and metrics to measure success across Growth, Product, Revenue, Clinical, Member Experience, and Operations. Own hands-on analytics: writing SQL, building dbt models, and creating the high-level dashboards that drive our most critical business decisions. Support OKR goal-setting, tracking and reporting by delivering actionable insights on progress against company-wide goals and strategic objectives. Collaborate with engineering to contribute to data methodologies, roadmap planning and understand nuances to our data Build the team: transition from a solo contributor to a leader by attracting, mentoring & retaining a highly effective & efficient data team as we scale. What you have: Minimum of a Bachelor's degree, preferably in Statistics, Mathematics, Economics, Computer Science or another related field 8+ years of analytics experience with proven experience in a fast-paced environment Strong working knowledge of subscription business models and cohort analysis; experience in healthcare or healthcare technology is a plus Expert in SQL and data modeling in Dbt; Experience working with data visualization tools (e.g. Sigma, Tableau, Mode); Proficiency in a scripting language such as Python or R preferred Proven track record implementing data governance and QA best practices (e.g., dbt testing, version control, and peer review processes) to maintain high data trust across a growing organization Experience with experimentation (A/B testing, diff-in-diff experiments) Ability to work independently and distill complex problems into clear and actionable takeaways with limited guidance Ability to navigate through ambiguity, collaborate effectively, and build consensus across a variety of stakeholders and verticals of the business with excellent communication Highly strategic and able to develop and articulate a vision for data that enables major business improvements and have built best-in-class strategies around it Found is an Equal Opportunity Employer.  We seek and celebrate diversity in its many forms.  If you’re excited about this opportunity but do not meet 100% of the qualifications, we encourage you to apply.

• Analyze marketing and product data to identify trends, patterns, and optimization opportunities. • Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI). • Build analytical and forecasting models based on product, financial, and behavioral data. • Work with datasets related to fintech, payments, crypto, and transaction-based systems. • Analyze financial product performance, including payments, lending, brokerage, or digital asset flows. • Support analytics for crypto / Web3 products and digital asset ecosystems. • Prepare technical documentation and maintain data dictionaries for the analytics function. • Support automation of analytical processes, reporting pipelines, and recurring workflows. • Collaborate with product, marketing, engineering, and finance teams to ensure data accuracy and alignment. • Present insights to stakeholders in a structured, clear, and actionable format.