Rocket Money - Senior Data Analyst, Product

• 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. • semi-embedded • point of view • 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. • high-impact ad hoc analyses • 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). • Design and analyze experiments • 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. • experimentation and analytics rigor • eventing, cohorting, analysis templates, and interpretation guardrails • 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. • self-service analytics • 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. • product leadership and cross-functional partners • 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. • Mentor and uplift teammates • 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 making sure 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.