Jobs โ€บ Companies โ€บ Rocket Money โ€บ Senior Data Analyst, Product

About this Senior Data Analyst, Product role at Rocket Money

Rocket Money ยท Onsite ยท San Francisco, CA, Washington, D.C., New York City, N.Y., Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO.

ABOUT ROCKET MONEY ๐Ÿ”ฎ

Rocket Moneyโ€™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 โ€“ ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ๐Ÿค

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.

Weโ€™re growing the team and hiring a Senior Data Analyst to deepen our partnership withย Personal Financial Management (PFM)ย product teams. In this role youโ€™ll bring a strong analytic point of view to ambiguous problemsโ€”leading ad hoc investigations, shaping measurement, and delivering rigorous experiment analysisโ€”while helping raise the bar for how we use data to improve member outcomes.

Tech Stack: BigQuery, dbt, Looker, Amplitude, Deepnote

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IN THIS ROLE, YOU'LL ๐Ÿคน

  • Partnerย semi-embeddedย 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 clearย point of viewย grounded in evidence.
  • Leadย high-impact ad hoc analysesย 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).
  • Advanceย experimentation and analytics rigorย by contributing to standards forย 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 creatingย 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 withย product leadership and cross-functional partners, communicating tradeoffs managing expectations through ambiguity, and ensuring analytics engagement lands at the right moments.
  • Mentor and uplift teammatesย 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 โ€œmost impactfulโ€ means.

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ABOUT YOU ๐Ÿฆ„

  • 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 isnโ€™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.

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WE OFFER ๐Ÿ’ซ

  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch dailyย (in-office only)
  • Snacks & Coffeeย (in-office only)
  • Commuter benefitsย (in-office only)

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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.

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How this Data Analyst salary compares

This role pays $160,000/yr โ€” above the typical range for Data Analyst roles.

$54,900 median $109,000 $175,000

Typical range $82,500โ€“$145,000/yr, from 404 comparable Data Analyst listings on JobsRadar (pay annualized to USD). See Data Analyst salary insights โ†’

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