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Rocket Companies

FinTech-enabled mortgage origination and services

Data Analytics Team Leader - Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeDetroit, MI, USANo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience in data analytics, data science, product analytics, experimentation, or a related quantitative discipline.
  • At least 2 years of direct people leadership experience managing analysts or data scientists.
  • Expertise in experimental design, A/B testing, multivariate testing, statistical analysis, and causal inference methodologies.
  • Hands-on experience with Snowflake, including SQL development, data modeling, and analytical framework design.
  • Experience leveraging AI tools within analytics workflows to improve efficiency and business outcomes.
  • Proficiency in Python or R for data analysis and Power BI for reporting and visualization.
  • Strong communication, stakeholder management, and presentation skills, including experience partnering with senior leaders.

Responsibilities

  • Lead, coach, and develop a team of data analysts, establishing priorities and elevating analytical excellence across the team.
  • Own the experimentation strategy for banking and consumer engagement operations, including A/B testing, multivariate testing, sample sizing, guardrail metrics, and results interpretation.
  • Drive measurement and optimization of automation engines that support client outreach, workflow orchestration, routing, servicing operations, and operational decisioning.
  • Build and maintain KPI frameworks, dashboards, diagnostics, and business review processes that enable informed decision-making.
  • Design and support scalable analytical solutions in Snowflake, including reusable datasets, metric definitions, and self-service reporting capabilities.
  • Partner with Operations, Product, Engineering, and Finance teams to solve complex business challenges and drive strategic initiatives.
  • Establish analytical strategies that help leaders evaluate performance, profitability, operational efficiency, and investment opportunities.
  • Leverage AI tools and technologies to improve analytical workflows, documentation, exploratory analysis, and business insights.
  • Translate complex business problems into actionable analytical plans and communicate recommendations to senior leaders.
  • Support hiring efforts and develop future analytics talent through coaching, mentorship, and performance development.

Desired Qualifications

  • Experience supporting operations-focused environments such as banking operations, servicing, contact centers, collections, or client engagement.
  • Experience measuring, optimizing, or tuning automation, decisioning, or orchestration engines in production environments.
  • Background in financial services, banking, or other regulated industries.
  • Experience building self-service analytics capabilities, reusable measurement frameworks, and scalable reporting solutions.
  • Advanced knowledge of statistical methodologies, experimentation platforms, and performance measurement systems.
  • Demonstrated ability to influence cross-functional teams and drive strategic business outcomes through data.
  • Experience mentoring and developing high-performing analytics teams.
  • Familiarity with AI-enabled analytics tools and emerging analytics technologies.

About the Company

Rocket Companies

FinTech-enabled mortgage origination and services

Rocket Companies is a diversified financial services firm centered on helping people buy homes. Its flagship Rocket Mortgage is the largest retail mortgage lender in the United States, issuing and servicing home loans. The company also owns Amrock, which provides title insurance, property valuations, and settlement services. Through an integrated FinTech-enabled ecosystem, Rocket Companies uses proprietary technology to streamline the mortgage process, making it faster and more efficient while offering a range of mortgage products and related services to both first‑time buyers and real estate investors. Compared with competitors, it stands out through its scale, end‑to‑end homebuying platform, and strong client satisfaction, supported by multiple revenue streams beyond loan origination, including title, valuation, and settlement services. Its primary goal is to simplify the home buying experience and help people achieve homeownership and financial freedom.

Company size
501-1,000
Company stage
IPO
Headquarters
Detroit, MI
Founded
1985

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