Top Data & Analytics Jobs in Ann Arbor, MI

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.

The Information Architect designs and maintains enterprise data architecture, ensuring semantic consistency and interoperability to support analytics and AI capabilities, while collaborating with business and tech teams.

The Payor Data Analyst manages client data, ensures data quality, runs reports, and collaborates with teams to improve data fidelity.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

As Measurement Lead, you will manage high-stakes customer discussions about campaign results, write SQL for data analysis, build dashboards, and collaborate with various teams to enhance Kard's measurement approach.

Lead the design and operation of Twilio's ML and data platform, architecting cloud-native pipelines and implementing MLOps best practices while mentoring engineers and collaborating across teams.

The Director of Data Strategy and AI leads data and AI initiatives to enhance analytics programs, drives client strategy, and ensures effective AI product deployment. Responsibilities include managing cross-functional teams, supporting new business development, and overseeing technical infrastructure for analytics and internal tools while facilitating communication between technical and business stakeholders.

The Data Integration Manager leads client data exchange processes, ensuring data quality, managing integration lifecycles, and consulting with clients on data needs, supported by technical expertise in SQL and ETL processes.

The Senior Data Analyst, SEO will analyze SEO performance data, identify trends, and provide insights for product strategy and marketing. Responsibilities include reporting, benchmarking, KPI standardization, and collaborating with various teams on SEO measurement and improvement.