Senior Data Analyst, Rocket Money

• We’re looking for a Senior Data Analyst with experience working in product analytics to join our growing data team
• 6+ years of experience in the analytics space, taking on progressively more complex work and senior roles
• You are comfortable actively defining a strategy and roadmap in partnership with our product, design, and tech leads. You are a data analyst first but have strong project management and coordination skills as well. You are comfortable defining the scope of your own work in collaboration with cross-functional partners
• Experience at B2C technology companies - particularly around user onboarding, user journey flows, and/or monetization analytics
• You are relentlessly proactive in managing your own work. You communicate constantly about priorities with your cross-functional teammates and are always asking if what you are doing is the most important thing
• A deep understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests. Experience working with engineering teams to implement and assess user facing experiments
• Experience working with a variety of data types, speeds, and sizes. You know how to scale analyses to very large, complex, and timely contexts
• A strong SQL background. You are comfortable spinning up a quick analysis or proof of concept data model
• You are always proactively seeking out ways to amaze customers, your company, and your coworkers. Above all else, you ship
• Expertise in building self-service 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

Desirable

• As a senior individual contributor, you’ll autonomously and proactively collaborate with the teams across our platform product group to drive strategy, deliver on the new product roadmap, and make new user experiences at Rocket Money the best they can be
• You’ll be embedded within our New User Experience team, analyzing the user’s initial journey with the app and ensuring we’re surfacing the features that our users need most, as early as possible in their experience using Rocket Money
• Lead the relationship between the Data team and the NUX product group. Understand company wide goals and collaborate with the team to uncover, assess, and drive strategies that achieve those goals
• Be the expert on the new user experience, leveraging your expertise to identify trends, patterns, and anomalies in our data. You will help provide actionable insights to inform and recommend strategies to optimize product offerings and customer experiences. New user experience has a unique mandate - driving engagement with other team’s features during a user’s early journey with Rocket Money. You’ll need to be comfortable moving between datasets produced by many different features of our product
• Float from thinking about big strategic data questions to getting your hands dirty building out the processes, systems, tools, and analyses that answer those questions. You build durable analytics that are easily maintainable by yourself and others
• Translate complex analytical findings into clear and concise reports, dashboards, and presentations for stakeholders at all levels of the organization. You drive the way our company talks about the new user experience and journey
• Partner with engineering teams to model and assess the data created by new user experiences. You will help debug unanticipated edge cases, directly contributing to the engineering of new product features
• Be a champion of our experimentation first culture. You’ll be the go-to person for the new user experience team to guide the design of experiments. You enable self-service experimentation but jump in to guide, scope, and implement complex experiments alongside product and engineering teams. 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
• Partner on projects with Analytics Engineering to ensure accurate and timely availability of data. Work with the Data Science team to integrate new users experiences in input into our predictive models