Top Data & Analytics Jobs in Ann Arbor, MI

Lead mechanistic modeling (PBPK/QSP) to support IND-enabling decisions and FIH dose selection; integrate preclinical, biomarker, and early clinical data; oversee population PK/PKPD and exposure-response analyses; contribute to regulatory submissions; mentor staff and build internal pharmacometrics capabilities while partnering cross-functionally.

The Head of Data will lead the data team, execute complex data projects, establish best practices, and define a strategic vision for data capabilities.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

The role involves providing high-quality input and data labeling for AI model training in quantitative finance, collaborating with technical teams, and ensuring innovation in algorithmic investment strategies.

The Data Management Coordinator ensures data accuracy and organization, supports reporting, and maintains data systems while collaborating across various departments.

As a Competitive Intelligence Analyst, you will gather and analyze competitive insights to support strategic decisions across product, marketing, and sales. This includes monitoring industry trends and creating comprehensive intelligence resources, such as competitor profiles and battle cards, while collaborating with cross-functional teams to enhance competitive positioning.

The Stop Loss Claims Analyst reviews, analyzes, and adjudicates stop loss claims, ensuring proper adherence to policy terms and guiding clients through complex claims.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

As a Sr Credit Risk Analyst, you'll analyze complex datasets to provide insights on credit risk, ensure regulatory compliance, and lead reporting initiatives while mentoring junior team members.

This role involves owning product analytics from end-to-end, including event taxonomy, instrumentation, dashboard design, and proactive insight delivery for the product team at XBOW. You'll improve frontend and server-side tracking, ensure data quality, and enable self-service analysis for stakeholders while working across the full stack. The focus is on actionable insights rather than vanity metrics.