Senior Manager, Insights & Analytics

Our client is looking for a strategic and hands-on analytics leader to guide data-driven decision-making for a growing business in Bloomfield Hills, Michigan. This role will shape measurement priorities across the organization, partner with senior leaders on key performance indicators, and turn complex data into practical insights that improve performance. The ideal candidate brings strong technical depth, leadership experience, and the ability to balance team management with direct analytical execution.

Responsibilities:

• Lead the analytics function by setting priorities, coaching team members, and ensuring high-quality delivery across reporting, analysis, and modeling initiatives.
• Establish and maintain a clear measurement framework that helps business leaders track performance and focus on the metrics that matter most.
• Drive the reporting and insights roadmap, aligning analytical work with organizational goals and evolving business needs.
• Facilitate recurring business performance reviews by preparing meaningful analyses, highlighting trends, and presenting actionable recommendations.
• Partner with cross-functional stakeholders to define KPIs, refine reporting needs, and support data-informed decision-making across departments.
• Perform hands-on analytical work, including querying data, developing models, and translating findings into clear business recommendations.
• Evaluate analytics tools and data platforms, offering informed recommendations to leadership on capabilities, scalability, and future direction.
• Support the deployment of analytical solutions within the existing R-based environment and contribute to work associated with the broader cloud data platform evolution.
• Bachelor’s degree in Statistics, Data Science, Computer Science, Economics, Mathematics, or a closely related discipline.
• At least 5 years of experience in analytics, business intelligence, or data science, including responsibility for leading or mentoring others.
• Advanced SQL skills and strong programming ability in R or Python, with readiness to work across both languages over time.
• Demonstrated experience creating predictive models and structuring experiments to answer business questions.
• Background working with enterprise business intelligence tools, ideally Power BI, and familiarity with modern cloud-based data environments.
• Experience defining analytics strategy, prioritizing a roadmap, and advising leaders on platforms, tools, and measurement approaches.
• Proven ability to collaborate with senior stakeholders, establish meaningful metrics, and influence business decisions through data.
• Retail or e-commerce experience is valued, and exposure to Snowflake, Azure Databricks, or Posit Connect would be beneficial.