Team Leader, Analytics

Rocket; Detroit (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Rocket, a Detroit-based company, is seeking a Data Analytics Team Leader to guide a team of analysts in measuring and optimizing banking and consumer engagement operations. You will own experimentation, build KPI dashboards, and develop scalable Snowflake-based solutions with cross-functional collaboration to drive data-driven decisions.

You will mentor staff, shape analytics strategy, and leverage AI tools to enhance workflows and insights for senior leadership.

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 7+ years of experience in data analytics or a related quantitative discipline.
• 2+ years of direct people leadership experience managing analysts or data scientists.
• Strong 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.
• Proficiency in Python or R for data analysis and Power BI for reporting and visualization.

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.

Skills

Leadership

Experimental design

Snowflake SQL

Python or R

Power BI

Stakeholder management

Communication

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Job description

As the Data Analytics Team Leader, you will lead a team of analysts responsible for measuring, optimizing, and improving banking and consumer engagement operations. You will oversee analytics strategy, experimentation, reporting, and decision-making for high-volume client-facing systems while developing team members and driving a data-driven culture across the organization.

About The Role

• 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.

About You

Minimum Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Technology, or a related quantitative field; or equivalent practical experience.
• 7+ years of experience in data analytics, data science, product analytics, experimentation, or a related quantitative discipline.
• 2+ years of direct people leadership experience managing analysts or data scientists.
• Strong 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 with experience partnering with senior leaders.

Preferred 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.

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.

This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, 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. The company 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 [e-mail].