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Location
In office (Detroit)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 12, 2026. Rocket Companies scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Rocket Companies is a Detroit-based fintech and homeownership company whose businesses provide mortgage lending, real estate brokerage, home search and personal finance services to US consumers. Its flagship business, Rocket Mortgage, was founded in 1985, the group is publicly traded, and its subsidiaries include the personal finance app Rocket Money and the online real estate brokerage Redfin. It hires executive loan officers, real estate agents, software engineers, product managers and designers, data and analytics leaders, marketing managers and financial analysts, with many roles in Detroit and across the United States.

As the Senior Data Analyst, you specialize in collecting, organizing and analyzing data from various sources with the purpose of turning numbers into context and recommendations. You paint a picture of how the business is operating using a variety of data analysis techniques and statistics. You integrate, transform and improve volumes of data at the project or company level for streamlined processes, greater efficiencies and more informed decision-making. As a Senior Data Analyst, you must demonstrate leadership among peers and extremely deep knowledge of your industry and business.

About therole

  • Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization

  • Use data to support and challenge business solutions with executive leadership or other stakeholders

  • Lead design and validation for all phases of research projects, including presentation of results, guiding iterative improvement

  • Maintain relationships and alignment among stakeholders to meet objectives

  • Define, gather, and validate project data requirements and evaluate data quality

  • Evaluate the quality of organizational data sources

  • Create and support business intelligence tools, databases, dashboards, reports or methods

  • Document technical design standards for reporting solutions to ensure their accurate development

  • Identify, document, and use exploratory data analysis to investigate assumptions

  • Identify and analyze relevant, external data to monitor the competitive environment

  • Stay informed of industry or business trends that pertain to data

  • Mentor teammates on any of the above responsibilities

Aboutyou

Minimum Qualifications

  • Bachelor’s degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology or a related field

  • 4 years of experience or equivalent competency identifying business problems, conducting data experiments, performing statistical analysis and synthesizing findings to guide business decisions

  • Experience leading end-to-end data analysis projects resulting in positive business changes

  • Expertise creating data visualizations using modern business intelligence (BI) tools, highlighting insights as relevant

  • Proficiency with industry-standard statistical analysis tools, such as SAS, R or Python

  • Experience training and mentoring peers

  • Experience creating data sets with advanced SQL or other querying languages and using them to develop business strategies

  • Experience researching data lineage

  • Advanced practical knowledge of standard statistical measures, probability theory and both qualitative and quantitative techniques

  • Experience working with data warehouses

  • Experience data mining or using other exploratory techniques

  • Experience working with structured and unstructured data

  • Experience writing software functions to support data analysis

  • Experience contributing to standards and processes that increase efficiency and impact

  • Conceptual knowledge of logical and physical data models

  • Domain knowledge of multiple business areas

Preferred Qualifications

  • Comprehensive knowledge of at least one business area and its data, including industry or other external sources

  • Experience in several business areas and familiarity with associated data

  • Conceptual knowledge of big data, machine learning, or data science

Whatyou’llget

Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not justyou, 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 ofBenefits and Perks.

Aboutus

Rocket is aDetroit-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 in1985. Today, we’re a publicly traded company involved in many different industries, including mortgages, fintech, realestateand 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 offers career growth, amazing benefits and the chance to work with leading industry professionals.

This job description is an outline of the primary responsibilities ofthis position and maybe modified at the discretion of thecompany at any time. Decisions related to employment are not based onrace, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. Thecompany provides reasonableaccommodationsto qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at [email protected].

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