Team Leader, Analytics

Rocket Mortgage•Detroit, MI

12d

About The Position

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. 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.

Requirements

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.

Nice To Haves

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.

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.