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 expertise in monetization and/or user onboarding analytics to join our growing team. As a member of the Rocket Money Data team, you’ll collaborate closely with product and engineering teams to foster a culture of data-driven decision-making across the organizations. As a senior individual contributor, you’ll proactively work with the product teams to recommend how we analyze the performance of the onboarding and monetization funnel and drive strategies for growth.

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:

• Independently lead the analysis for our Platform product group; focusing on user onboarding and monetization performance metrics such as onboarding completion rates, ASP, and payments.
• Leverage your expertise in user onboarding and/or monetization to identify trends, patterns, and anomalies in our data, and ultimately help provide actionable insights to inform and recommend strategies to optimize product offerings and customer experiences.
• Be the expert on new user journey and monetization data, understanding the nitty gritty details of the program, and partnering with Analytics Engineering to ensure accurate and timely availability of data for analysis.
• Form strong relationships between Data Analytics and the Product teams by proactively identifying and driving analytics projects that help inform the strategic direction and becoming an integral part of the product planning process.
• 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 the product platform team 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.

ABOUT YOU 🦄

• 5+ years of experience in the analytics space, taking on progressively more complex work and senior roles.
• Experience in SAAS companies and particularly around user onboarding, user journey flows, and/or monetization analytics.
• Have a good understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests.
• Intuitively understand how to measure a monetization and users journeys and how various KPIs are interrelated.
• Have 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 and R for statistical analysis