Top Senior Data & Analytics Jobs in Ann Arbor, MI

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.

As a Sr. Engineering Insights Analyst, you'll analyze engineering data, create dashboards, and drive insights to improve engineering processes, productivity, and reliability. Collaboration with engineering teams is key to defining metrics and ensuring data quality.

The Senior Data Analyst will deliver corporate dashboards and insights, focusing on revenue metrics while partnering with executives and ensuring data quality through effective query writing and dashboard management.

Responsible for data analysis, cleaning, and validation, ensuring data quality for operational systems. Collaborates with project managers to implement improvements.

The Senior Data Engineer will build and maintain data platform infrastructure, ensuring data reliability across the business, drive architecture decisions, and enhance monitoring of data systems while partnering cross-functionally.

The role involves partnering with analytics teams to create reports, analyze credit performance, and provide insights to optimize credit journeys and reduce risks using SQL and Python.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.