Head of Data Analytics & Experimentation

Rocket

Detroit (MI)

On-site

USD 120,000 - 180,000

Full time

14 days+

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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.