Data Analyst, Operations

<h3><strong>ABOUT ROCKET MONEY 🔮</strong></h3> <p>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.</p> <h3><strong>ABOUT THE TEAM <span class="notion-enable-hover" data-token-index="0">🤝</span></strong></h3> <p>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.</p> <p>We’re growing the team and hiring a Data Analyst to deepen our partnership with Operations and Customer Support teams. In this role you’ll bring a strong analytic point of view to concrete operational problems — shaping measurement and reporting, leading ad hoc investigations, and delivering actionable insights—while helping raise the bar for how we use data to improve member outcomes.</p> <p>Tech Stack: BigQuery, dbt, Looker, Amplitude, Deepnote</p> <p> </p> <h3><strong>IN THIS ROLE, YOU'LL 🤹</strong></h3> <ul> <li>Partner <strong>semi-embedded</strong> with operations and customer support management teams to own complex analytic work end-to-end: framing questions, defining measurement, and delivering narratives that influence roadmap decisions with a clear <strong>point of view</strong> grounded in evidence.</li> <li>Build trusted relationships with <strong>operations leadership and relevant cross-functional partners</strong>, communicating tradeoffs managing expectations through ambiguity, and ensuring analytics engagement lands at the right moments.</li> <li>Lead <strong>high-impact ad hoc analyses</strong> that surface non-obvious opportunities or trends in operations data; proactively follow insights through to recommendations which will directly impact customer outcomes.</li> <li>Be a force multiplier for the team via creating <strong>self-service analytics</strong>: contributing dashboards, metric definitions, reusable queries/notebooks, and documentation so recurring questions scale.</li> <li>Proactively seek out creative ways to apply data analytics methods and tools within the operations space. <strong>Guide and educate</strong> stakeholders and partners in the usage of these tools to support their decision-making process.</li> <li><strong>Mentor and uplift teammates</strong> through high-quality reviews, feedback, and collaboration while modeling pragmatic prioritization: balancing rigor with speed and escalating when scope or risk requires broader alignment.</li> <li>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.</li> </ul> <p> </p> <h3><strong>ABOUT YOU 🦄</strong></h3> <ul> <li>You have deep expertise in data analytics and a strong understanding of data systems and processes, especially delivery of scalable, repeatable self service analytics.</li> <li>You have 4+ years of experience data analytics and proven experience working with operations teams to drive meaningful product improvements.</li> <li>You have advanced SQL skills and experience in a BI tool like Looker (preferred), Tableau, Databricks or PowerBI. Experience with light work in DBT or Airflow is a plus.</li> <li>You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.</li> <li>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.</li> <li>You are proactively involved with your internal clients in a strategic manner. You are not a ticket taker.</li> <li>You want to continue to grow and learn. You are excited by hard problems and big challenges.</li> <li>You are looking forward to an AI-first world and regularly use AI to assist you in your work, but you also understand the trade-offs of using AI and know when to use your brain cells over your tokens.</li> <li>Experience in fintech, banking, or finance is a plus.</li> </ul> <p> </p> <h3><strong>WE OFFER 💫</strong></h3> <ul> <li>Health, Dental & Vision Plans</li> <li>Life Insurance</li> <li>Long/Short Term Disability</li> <li>Competitive Pay</li> <li>401k Matching</li> <li>Team Member Stock Purchasing Program (TMSPP)</li> <li>Learning & Development Opportunities</li> <li>Tuition Reimbursement</li> <li>Unlimited PTO</li> <li>Daily Lunch, Snacks & Coffee <em>(in-office only)</em></li> <li>Commuter benefits <em>(in-office only)</em></li> </ul> <p> </p> <p>Additional information: Salary range of $120,000 - $160,000 + bonus + benefits. Base pay offered may