About the r ole
- 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
About y ou
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
What y ou'll g et
Our team members fuel our strategy, inno vation and gro wth, so we ensure the health and well-being of not j ust 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 eligib le team m embers 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 u s
Rock e t 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 i ndustrie s, 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 offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the p rimary resp onsibilities of this posit ion and may be modi fied at the discretion of the c ompany at any time. Decisions related to employment are not based on race, c olor, 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. The c ompany provides reasonable accommodations to 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] .
Skills Required
- Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field
- Four years of experience or equivalent competency identifying business problems, conducting data experiments, performing statistical analysis, and synthesizing findings
- Experience leading end-to-end data analysis projects that resulted in positive business changes
- Expertise creating data visualizations using modern business intelligence tools
- Proficiency with statistical analysis tools such as SAS, R, or Python
- Experience training and mentoring peers
- Experience creating datasets with advanced SQL or other querying languages and using them to develop business strategies
- Experience researching data lineage
- Advanced practical knowledge of statistical measures, probability theory, and qualitative and quantitative techniques
- Experience working with data warehouses
- Experience with data mining or exploratory techniques
- Experience working with structured and unstructured data
- Experience writing software functions to support data analysis
- Experience contributing to standards and processes that improve efficiency and impact
- Conceptual knowledge of logical and physical data models
- Domain knowledge of multiple business areas
- Comprehensive knowledge of at least one business area and its data, including industry or external sources
- Experience in several business areas and familiarity with associated data
- Conceptual knowledge of big data, machine learning, or data science
Rocket Compensation & Benefits Highlights
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Healthcare Strength — Health coverage includes premium medical plans, disability/life insurance, no‑cost mental health support, and access to onsite or virtual care, with a 100% company‑paid medical plan option noted. Wellness and nutrition resources further bolster the offering.
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Parental & Family Support — Parental leave, fertility coverage (including IVF), adoption/foster assistance, childcare subsidies, and Care.com membership are emphasized. Many benefits are presented as effective on day one, underscoring breadth and immediacy.
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Equity Value & Accessibility — An employee stock purchase plan offers a 15% discount with quarterly enrollment and contributions up to 15% of eligible earnings. This provides accessible ownership alongside cash compensation.
Rocket Insights
What We Do
We’re a Detroit-based company obsessed with helping our clients achieve the dream of homeownership and financial freedom. Our flagship business, now known as Rocket Mortgage, was founded by Dan Gilbert in 1985. Since then, we’ve revolutionized the mortgage industry – twice – and taken our place as the industry leader. Today, the Rocket brand is synonymous with providing simple, fast and trusted digital solutions for complex transactions. When you need a mortgage, a real estate agent or a personal loan, Rocket gets you there fast.
Why Work With Us
Powered by AI and driven by human ingenuity, our trailblazing teams create endless pathways toward a future of possibility. By pairing relentless innovation with real empathy, we’re building the future of homeownership – together.
Gallery
Rocket Teams
Rocket Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.


