Senior Data Analyst, Product San Francisco, CA, Washington, D.C., New York City, N.Y., Detroit,[...]

San Francisco, CA; Washington, D.C.; New York City, NY; Detroit, MI; Phoenix, AZ; Miami, FL; Denver, CO. Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey. The Rocket Money Data Analytics team is comprised of data analysts who are passionate about using data to drive business decisions and improve user experiences. Analysts work within a semi-embedded organizational structure to independently build data analytics tooling, drive strategy with data, and assess experiments within cross-functional product vertical aligned teams. Analysts also work closely with other members of the analytics engineering and data science teams to further our product delivery, operations, finance, and marketing goals. We’re growing the team and hiring a Senior Data Analyst to deepen our partnership with Personal Financial Management (PFM) product teams. In this role you’ll bring a strong analytic point of view to ambiguous problems—leading ad hoc investigations, shaping measurement, and delivering rigorous experiment analysis—while helping raise the bar for how we use data to improve member outcomes. Tech Stack BigQuery, dbt, Looker, Amplitude, Deepnote Responsibilities Partner semi-embedded with PFM product, design, and engineering to own complex analytic work end-to-end: framing questions, defining measurement, and delivering narratives that influence roadmap decisions with a clear point of view grounded in evidence. Lead high-impact ad hoc analyses that surface non-obvious opportunities or risks in member behavior and product performance; proactively follow insights through to recommendations. Design and analyze experiments without a turnkey experimentation platform by specifying methodology, writing evaluation code, and applying rigorous statistical approaches when appropriate (e.g., sequential testing, multi-metric / correlated outcomes). Advance experimentation and analytics rigor by contributing to standards for eventing, cohorting, analysis templates, and interpretation guardrails , and by partnering across functions so experiments answer the right questions and ship trustworthy conclusions. Be a force multiplier for the team via creating self‑service analytics : contributing dashboards, metric definitions, reusable queries/notebooks, and documentation so recurring questions scale and analysts spend more time on novel problems. Build trusted relationships with product leadership and cross‑functional partners , communicating tradeoffs, managing expectations through ambiguity, and ensuring analytics engagement lands at the right moments. Mentor and uplift teammates through high‑quality reviews, feedback, and collaboration while modeling pragmatic prioritization: balancing rigor with speed and escalating when scope or risk requires broader alignment. Own commitments for your initiatives with predictable communication: clarify scope, document methods/limitations, communicate impact, and reprioritize when new information changes what “most impactful” means. You have deep expertise in data analytics and a strong understanding of data systems and processes, especially delivery of scalable, repeatable self‑service analytics. You have 7+ years of experience data analytics and proven experience working with product teams to drive meaningful product improvements. Advanced experimentation analytics, including designing analyses in code when tooling isn’t turnkey; eager to help strengthen how we design, implement, and evaluate experiments at scale. You are focused on ensuring that analytics tools are accurate, complete, and timely. Analytics is a strategic asset but also a strategic risk if numbers are wrong. You excel at stakeholder management and can build effective relationships across the organization. You self‑organize a peer group to gain feedback. You are proactively involved with your product managers in a strategic manner. You are not a ticket taker. You want to continue to grow and learn. You are excited by hard problems and big challenges. Experience in fintech, banking, or finance is a plus. Qualifications You have deep expertise in data analytics and a strong understanding of data systems and processes, especially delivery of scalable, repeatable self‑service analytics. You have 7+ years of experience data analytics and proven experience working with product teams to drive meaningful product improvements. Advanced experimentation analytics, including designing analyses in code when tooling isn’t turnkey; eager to help strengthen how we design, implement, and evaluate experiments at scale. You are focused on ensuring that analytics tools are accurate, complete, and timely. Analytics is a strategic asset but also a strategic risk if numbers are wrong. You excel at stakeholder management and can build effective relationships across the organization. You self‑organize a peer group to gain feedback. You are proactively involved with your product managers in a strategic manner. You are not a ticket taker. You want to continue to grow and learn. You are excited by hard problems and big challenges. Experience in fintech, banking, or finance is a plus. Benefits Competitive Pay 401k Matching Unlimited PTO Snacks & Coffee (in‑office only) Commuter benefits (in‑office only) Additional information: Salary range of $140,000 - $180,000 + bonus + benefits. Base pay offered may vary depending on job‑related knowledge, skills, and experience. Rocket Money, Inc. is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr Truebill