Senior Data Analyst, Product

Rocket Money•Washington, DC

1d•$140,000 - $180,000•Hybrid

About The Position

Rocket Money's mission is to empower people to live their best financial lives. 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.

Requirements

Deep expertise in data analytics and a strong understanding of data systems and processes, especially delivery of scalable, repeatable self service analytics.
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.
Focused on making sure that analytics tools are accurate, complete, and timely.
Excel at stakeholder management and can build effective relationships across the organization.
Self-organize a peer group to gain feedback.
Proactively involved with your product managers in a strategic manner.
Excited by hard problems and big challenges.

Nice To Haves

Experience in fintech, banking, or finance is a plus.

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.