Top Data & Analytics Jobs in Ann Arbor, MI

As a Senior Statistical Programmer, you will lead and support clinical trials by generating statistical programming deliverables, performing data analysis, and collaborating with cross-functional teams in a pharmaceutical setting.

The DataOps Engineer manages data analytics infrastructure, builds CI/CD pipelines, operates cloud-based Spark clusters, and ensures data processing efficiency in a remote environment at Smile Digital Health.

The Lead Data Analyst leads complex data analytics and statistical modeling efforts, translating business challenges into analytical frameworks to support strategic decision-making. Responsibilities include developing predictive models, maintaining data quality standards, providing mentorship, and collaborating with cross-functional teams.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

The Senior Data Engineer will design and maintain data pipelines, write production-grade Python and SQL code, and support AI initiatives while collaborating across teams.

The Senior Director, Enterprise Analytics will develop and execute analytics strategies, improve service efficiency, manage analytical service teams, and enhance operational performance across local and national markets.

As a Business Analyst, you will bridge clinical operations and engineering to document requirements, write user stories, and support data mapping in a healthcare environment.

The Director of US Insights and Market Development will lead market research initiatives, develop strategies for pre-launch and brand activities, and integrate insights from various analytics to support decision-making within the Commercial team.

The Product Analyst will analyze product performance, manage workloads, document processes, support product reviews, and generate reports while collaborating with teams.

The Database/Application Administrator will manage enterprise databases, ensure performance and reliability, support disaster recovery, and troubleshoot issues.