
10,000+ employees
Founded 1985
đź’¸ Finance
đź’ł Fintech
🏠Real Estate
Finance • Fintech • Real Estate
Rocket Mortgage is a leading online mortgage lender that simplifies the home buying and refinancing process for consumers. It offers a variety of mortgage options, including fixed-rate, adjustable-rate, FHA, and VA loans, with tools and calculators to help clients understand their financial needs. With a focus on providing a smooth user experience and various promotional offers, Rocket Mortgage is dedicated to making homeownership more accessible and affordable.
🔥 1 minute ago
🏄 California – Remote
đź’µ $128.5k - $276k / year
⏰ Full Time
đź”´ Lead
📉 Data Analyst
🦅 H1B Visa Sponsor
đź‘» Ghost score 0%
Where this job comes from
Posted on Rocket Mortgage's careers page, not through a job board
First seen by Remote Rocketship 1 minute ago

10,000+ employees
Founded 1985
đź’¸ Finance
đź’ł Fintech
🏠Real Estate
Finance • Fintech • Real Estate
Rocket Mortgage is a leading online mortgage lender that simplifies the home buying and refinancing process for consumers. It offers a variety of mortgage options, including fixed-rate, adjustable-rate, FHA, and VA loans, with tools and calculators to help clients understand their financial needs. With a focus on providing a smooth user experience and various promotional offers, Rocket Mortgage is dedicated to making homeownership more accessible and affordable.
• Drive analytical decision-making on domain initiatives, leading projects from inception through deployment • Target and segment existing clients based on product requirements and partner with business teams to act on results • Build and maintain the analytics pipeline from product and system log capture through reporting organization • Ensure pipeline data is accessible to other businesses while upholding consent and data privacy requirements • Create a ground-layer source of truth for a new product • Partner with product and engineering to define data capture and instrumentation • Explain data across the ecosystem, including servicing engagement, data lake contents, and data requiring extraction • Use AI to improve work speed, quality, and effectiveness • Analyze data using statistical methods and summarize findings for varied audiences • Represent data insights to business leaders and recommend business solutions • Ensure data integrity and support data governance through validation and IT alignment on source systems • Collaborate with business analysts, data engineers, and modelers on business intelligence solutions • Design data collection standards and share best practices • Mentor and coach other data analysts
• Extensive experience analyzing data sets in a business setting • Demonstrated experience with data visualization tools such as Tableau and Power BI • Demonstrated experience with SAS, R, or Python and advanced statistical knowledge applied to business decisions • Advanced SQL or other querying languages to create data sets • Deep domain knowledge of the business area • 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 the data landscape and external data sources • Ability to lead end-to-end analysis projects resulting in business-changing recommendations • Leadership through mentoring peers and technical leadership • Excellent communication skills and presence with business leaders • Ability to work autonomously in a fast-paced environment and partner with product and engineering • 7 years of experience working with data sets (preferred) • 7 years of experience using Microsoft Excel for data analysis (preferred) • 7 years of experience using SQL to create data sets, including Hive/Data Lake (preferred) • 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 (preferred)
• Annual bonus eligibility • Incentives • Medical benefits • Dental benefits • Vision benefits • 401K retirement plan • Paid time off • Health and well-being support for team members and their families • Career growth • Reasonable accommodations for qualified individuals with disabilities
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