Senior Data Analyst, Product

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

43% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Analyst, Product San Francisco, CA, Washington, D.C., New York City, N.Y., Detroit, MI, Phoenix, AZ, Miami, FL, Denver, CO. ABOUT ROCKET MONEY 🔮 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. ABOUT THE TEAM 🤝 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 IN THIS ROLE, YOU'LL 🤹 - 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

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