Principal Data Analyst (San Diego, CA)

The Principal Data Analyst informs business decisions and defines strategy through analysis. This is a “super IC” role: a deep subject matter expert who sinks their teeth into our domain and becomes the go-to authority on our data. You will partner closely with product, engineering, and business leaders, and own the analytics foundation for a new product end to end, from capture in product and system logs, to organization for reporting, to responsible sharing across the business. The Mindset We’re Looking For This is not a startup, but we want someone who works like they’re at one. • Act like an owner. Take responsibility for outcomes, spot problems, and drive solutions without waiting to be asked. • Be scrappy and resourceful. Get to a good answer quickly with the data and tools available, then improve it. • Move fast and iterate. Ship a first version, learn, and refine. • Thrive in ambiguity. Define the problem, approach, and success measures when they aren’t handed to you. • Wear multiple hats. Move fluidly between analysis, pipeline building, stakeholder consulting, and mentoring. • Build what’s missing. If a process, standard, or data source doesn’t exist, create it. Key Success Factors • Autonomy. Operate independently in a fast-paced environment. • Communication. Explain complex findings clearly to technical and non-technical audiences. • Partnership. Work hand in hand with product and engineering. • Executive presence. Represent data insights to business leaders and influence decisions. • AI-driven effectiveness. Use AI to improve your effectiveness and to help create a ground-layer source of truth for a new product. About the role • Drive analytical decision-making on initiatives within our domain, leading projects from inception through deployment • Target and segment existing clients based on product requirements, and partner with business teams to act on the results • Build and maintain the analytics pipeline, from capture in product and system logs through organization for reporting by the tax team • Ensure pipeline data is accessible to other businesses, with consent and data privacy requirements upheld • Create a ground-layer source of truth for a new product • Partner with product and engineering to define what data is captured and how it is instrumented • Help the team understand data across the ecosystem, from servicing engagement to what is in the data lake versus what needs to be extracted • Use AI to improve the speed, quality, and effectiveness of your work • Analyze data with statistical methods, interpret results, and summarize findings in written and oral form for varied audiences • Represent data insights to business leaders and recommend business solutions • Ensure data integrity and support data governance, including periodic validation and alignment with IT partners on source systems • Work closely with business analysts, data engineers, and modelers to deliver holistic business intelligence solutions • Design data collection standards and share best practices • Mentor and coach other data analysts About you Minimum Qualifications • Extensive experience analyzing data sets in a business setting • Demonstrated experience with data visualization tools (e.g., Tableau, Power BI) • Demonstrated experience with industry-standard statistical tools (e.g., SAS, R, Python) and advanced statistical knowledge applied to business decisions • Advanced SQL or other querying languages to create data sets • Deep domain knowledge of our business area, with the ability to deliver strategic, actionable recommendations • Experience with client targeting and segmentation based on product requirements • Experience designing, building, and maintaining analytics pipelines, from data capture through reporting-ready data sets • Working knowledge of data privacy and consent requirements • Comprehensive knowledge of our data landscape and external data sources, including what is in the data lake versus what must be extracted • Demonstrated ability to lead end-to-end analysis projects that result in a business-changing recommendation • Demonstrated leadership through mentoring peers and technical leadership in your area • Excellent communication skills and a solid presence with all audiences, including business leaders • Proven ability to work autonomously in a fast-paced environment and partner with product and engineering Preferred Qualifications • 7 years of experience working with data sets • 7 years of experience using Microsoft Excel for data analysis • 7 years of experience using SQL to create data sets, including Hive/Data Lake • Experience with Segment, Amplitude, and Avo (nice to have) • Experience using AI tools to improve analytical effectiveness and build data foundations for new products • Experience with product and system log data and servicing or client engagement data • Bachelor’s or master’s degree in mathematics, applied statistics, or a related field What you’ll get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We’ve got your back. Check out our full list of Benefits and Perks. About us Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We’re insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that of