Rocket Money (formerly known as Truebill) is a leading personal finance app with a mission to empower people to live their best financial lives. We offer our 3.4 million members a unique understanding of their finances and a suite of valuable services that save both time and money -- ultimately giving them a leg up on their finanical journey. Members can manage their subscriptions, lower their bills, build budgets and automatically set aside money to reach their savings goals. We've saved our members $245 million and counting.

In late 2021, we were acquired by Rocket Companies (NYSE: RKT) for $1.275 billion with the goal of creating a centralized destination for consumers to manage their entire financial lives. As paying premium members more than doubled year-over-year in July 2022, we announced our new name, Rocket Money.

We’re looking for a Senior Data Analyst with experience working in product analytics to join our growing Data Analytics team. As a senior individual contributor, you’ll autonomously and proactively collaborate with the teams across our PFM (personal financial management) product group. You’ll analyze the performance of the new user experience and understand the drivers of engagement and retention to help drive strategies for growth.

To help you do this, you’ll partner with colleagues across, Product, Engineering, Research, CRM, and Data, to build a mature set of reporting and analytics. This requires being forward-looking and thinking through the team and company’s initiatives to better understand user journey behavior, while building tooling and frameworks that not only measure performance, but also ladder up to key company KPIs.

ABOUT THE ROLE 🤹

In this role, you will:

• Lead and deepen the relationship between the Data team and specific PMs within our PFM (personal financial management) product group. This means building a deep understanding of the goals of the product organization, creating a plan to use data to help achieve those goals, aligning our teams on that plan, and ultimately executing on the work.
• Be the expert on the new user journey and our engagement and retention data. You’ll leverage your expertise to identify trends, patterns, and anomalies in our data. Ultimately you will help provide actionable insights to inform and recommend strategies to optimize product offerings and customer experiences.
• Partner on projects with Analytics Engineering to ensure accurate and timely availability of data and with Data Science when work requires making predictions.
• Float from thinking about big strategic data questions to getting your hands dirty building out the processes, systems, and ultimately analyses to answer those questions. Be the person responsible for ongoing maintenance of what you have built.
• Translate complex analytical findings into clear and concise reports, dashboards, and presentations for stakeholders at all levels of the organization.
• Continue to improve our culture of experimentation. You’ll be the go-to person for certain PMs in the product organization to guide the design of experiments and jump in to analyze particularly complex or important experiments yourself. Within the data team, you’ll help us think of new ways to improve our experimentation systems and processes across the company.
• Make feedback a constant theme in your day to day - both seeking it from others and providing it to others to make sure we’re always improving as a team.

ABOUT YOU 🦄

• 6+ years of experience in the analytics space, taking on progressively more complex work and senior roles.
• Experience building a roadmap in a cross-functional setting and leading a relationship with non-data counterparts.
• Experience at B2C technology companies and particularly around user engagement, user journey flows, and/or retention analytics.
• A solid understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests.
• Experience working with data that’s captured as an events or in a table.
• A strong SQL background. You are comfortable spinning up a quick analysis or proof of concept data model.
• Expertise in data visualization tools (e.g., Looker, Tableau, Power BI).
• Excellent communication skills, with the ability to explain complex analytical findings to non-technical stakeholders and comfortable speaking with senior/executive level leadership.

Bonus points if:

• Experience with our stack (BigQuery/GCP, Fivetran, Looker, Amplitude)
• Proficient in using python or R for statistical analysis