ABOUT THRIVE MARKET Thrive Market was founded in 2014 with a mission to make healthy and sustainable living easy and affordable for everyone. As an online, membership-based market, we deliver the highest quality healthy, and sustainable products at member-only prices, while matching every paid membership with a free one for someone in need. Every day, we leverage innovative technology and member-first thinking to help our over 1,700,000+ members find better products, support better brands, and build a better world in the process. We are also a Certified B Corporation, a Public Benefit Corporation, and a Climate Neutral Certified company. Join us as we bring healthy and sustainable living to millions of Americans in the years to come. THE ROLE At Thrive Market, data is core to how we operate, innovate, and grow. As we continue to scale, we’re looking for a Senior Data Analyst to play a critical role in turning data into strategic insight - guiding decisions across product, finance, marketing, operations, and merchandising. This role goes beyond building dashboards or pulling reports. You'll help translate complex data into clear, actionable insights that shape business outcomes. Whether it's analyzing member behavior, identifying pricing opportunities, or supporting cross-functional initiatives, you'll bring rigor, curiosity, and clarity to every conversation. You’ll be a trusted analytics partner to leaders across Thrive Market, connecting data to real-world outcomes, and helping teams make smarter, faster decisions every day. RESPONSIBILITIES - Lead high-impact, end-to-end analytics projects that inform key product strategies, from experiment design through post-launch analysis. - Partner cross-functionally with stakeholders to align on priorities and translate questions into analytical frameworks. - Partner with Product Management, Engineering, Data Science, and Functional teams to gather, manipulate, analyze, and document raw, complex data and share cohesive data stories that make sense to business and technical audiences. - Deliver clear, data-driven insights that influence decision-making across the organization. - Design and maintain dashboards, experiment reports, and datasets that empower product teams to self-serve and track performance. - Identify data quality issues and help resolve inconsistencies across source systems and instrumentation. - Design and analyze A/B tests with statistical rigor, including proper sample sizing, significance testing, and result interpretation. - Develop analytics plans for new features, defining success metrics, required instrumentation, and measurement approaches in partnership with Product Managers. - Respond to ad hoc analytical requests with accuracy, efficiency, and business context. - Bring thought leadership to Thrive Market's analytics practices — recommending new ways to enhance our analytical toolkit and processes. QUALIFICATIONS - MBA preferred with a focus in analytics, strategy, or a related quantitative field. - 7+ years of experience in data and product analytics, with a strong track record of business impact. - Advanced SQL skills and proficiency in a programming language (e.g., Python, Java, Scala, or C++). - Experience with large-scale data tools such as Hive, Spark, or similar. - Hands-on experience with Snowflake or other modern cloud data warehouses. - Strong foundation in statistics and multivariate regression. - Expertise in data visualization and BI tools (Domo, Tableau, Looker, etc.). Ability to clearly communicate insights to non-technical audiences and influence decision-making. - Experience in eCommerce or subscription businesses is a strong plus. - Familiarity with A/B testing, web analytics (GA, Amplitude, Mixpanel), and customer journey analysis. - Curious, collaborative, and highly self-motivated — with a bias for action and a business-first mindset. BELONG TO A BETTER COMPANY - Comprehensive health benefits (medical, dental, vision, life and disability) - Competitive salary (DOE) + equity - 401k plan - 9 Observed Holidays - Flexible Paid Time Off - Subsidized ClassPass Membership with access to fitness classes and wellness and beauty experiences - Ability to work in our beautiful office in Playa Vista - Free Thrive Market membership with exclusive employee discount - Coverage for Life Coaching & Therapy Sessions on our holistic mental health and well-being platform We're a community of more than 1 Million + members who are united by a singular belief: It should be easy to find better products, support better brands, make better choices, and build a better world in the process. At Thrive Market, we believe in building a diverse, inclusive, and authentic culture. If you are excited about this role along with our mission and values, we encourage you to apply. Thrive Market is an EEO/Veterans/Disabled/LGBTQ employer At Thrive Market, our goal is to be a diverse and inclusive workplace that is representative, at all job levels, of the members we serve and the communities we operate in. We’re proud to be an inclusive company and an Equal Opportunity Employer and we prohibit discrimination and harassment of any kind. We believe that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. If you’re thinking about joining our team, we expect that you would agree! Employment with Thrive Market requires that employees be based in the United States. This is a condition of employment and must be maintained throughout the duration of employment. If you need assistance or accommodation due to a disability, please email us at eeo@thrivemarket.com and we’ll be happy to assist you. Ensure your Thrive Market job offer is legitimate and don't fall victim to fraud. Thrive Market never seeks payment from job applicants. Thrive Market recruiters will only reach out to applicants from an @thrivemarket.com email address. For added security, where possible, apply through our company website at www.thrivemarket.com. © Thrive Market 2026 All rights reserved. JOB INFORMATION - Compensation Description - The base salary range for this position is $150,000 - $175,000/Per Year. - Compensation may vary outside of this range depending on several factors, including a candidate’s qualifications, skills, competencies and experience, and geographic location. - Total Compensation includes Base Salary, Stock Options, Health & Wellness Benefits, Flexible PTO, and more! - This position requires traveling to our HQ office in Los Angeles, California, twice a year for all-company summits; once in the summer and once in the winter.

• Develop an expert level understanding of Signify’s core product offerings and analytics technology. • Define, track, report out, and explain product metrics including performance and profitability. • Build and maintain robust data transformation models using dbt and utilize Claude Code to accelerate SQL development and technical documentation. • Build and maintain Power BI dashboards and reports to track product health, highlight insights, and monitor the success of product initiatives. • Architect Snowflake semantic views to power Snowflake Intelligence, enabling natural language data discovery for stakeholders. • Deploy and manage AI agents within the data warehouse to automate monitoring and proactive alerting of product performance anomalies. • Become a key partner with Product, Engineering, Operations and Analytics teams to drive key Signify objectives. • Be a champion of A/B testing and help stakeholders throughout the company design, analyze, and interpret A/B tests correctly. • Able to use alternative causal inferences techniques when A/B testing is not feasible. • Develop ROI projections for analytics projects to prioritize analytics deliverables by impact to the business. • Communicate progress, barriers, priority and budget regularly with leadership. • Tell compelling stories through data, articulating technical information to a non technical audience.

• Acquiring, organizing, measuring, and interpreting data from primary and secondary sources to support our analytic initiatives. • Supporting the identification of product opportunities and performance trends using appropriate analytical techniques. • Delivering custom data solutions to our partners (business customers), providing them with valuable insights and actionable recommendations. • Collaborating with data and software engineering teams to support the growth and reliability of Peek’s data warehouse and data marts. • Assisting in the preparation and delivery of analytics projects, ensuring high-quality and timely completion. • Working closely with our product management, marketing, and success teams to enhance the revenue capabilities of our flagship SaaS booking platform, leveraging data-driven insights. • Supporting internal financial initiatives by collaborating with our finance department, providing data analysis to inform financial decision-making. • Actively participating in the analytics community at Peek, sharing best practices, contributing to analytics forums, and staying up to date with industry trends and advancements. • Experimenting with AI tools, including large language models (LLMs), to increase the efficiency of analysis, automate repetitive tasks, and improve how insights are generated and communicated.

• Partner with product managers and engineers to translate business goals into analytical requirements, perform exploratory analyses, and clearly communicate findings to support strategic decisions • Design experiments to answer business questions, including defining key metrics and applying appropriate statistical techniques to analyze results • Prototype analytics solutions and data products to accelerate product development • Translate analytical findings into compelling data stories through clear visualizations that help stakeholders quickly grasp trends, patterns, and implications • Becoming an expert in our data stack: how we get the data from customers, how we normalize that data, and how internal teams and customers consume that data • Building, maintaining, and testing data models which support reporting and analytics. • Uphold high standards for code quality and documentation, while contributing to a culture of peer review and continuous learning