Top Data & Analytics Jobs in Ann Arbor, MI

The Senior Data Engineer will build scalable data pipelines, ensure data quality, optimize ETL processes, and collaborate with stakeholders to enhance data infrastructure and analytics applications.

As a Senior Business Systems Analyst, you will bridge business processes and technical delivery, focusing on GTM/Sales ecosystem to optimize workflows and support revenue goals. You'll refine business requirements, manage technical solutions, and ensure quality delivery using Agile methodologies.

The Associate Director will lead omnichannel marketing strategies through data analytics, transforming insights into actionable recommendations to enhance customer engagement and optimize marketing performance.

The Senior Systems Analyst will enhance data exchanges, support project deployments, analyze data strategies, and solve complex problems within the Consumer Markets Division.

As a Senior Data Scientist, you will develop statistical models and machine learning algorithms to improve patient enrollment and trial management while ensuring compliance in a healthcare data environment.

The Analytics Implementation Manager will lead the implementation and validation of analytics infrastructure, ensuring measurement accuracy and reliability across client accounts. Responsibilities include deploying tagging solutions, managing data layers, coding in JavaScript, and collaborating with cross-functional teams to troubleshoot and enhance performance tracking.

The Salesforce Data Cloud Solution Architect leads customer data strategies, assesses data ecosystems, designs secure architectures, manages integrations, and collaborates across teams to enhance AI-driven solutions.

The Data Analyst will gather requirements, create and maintain data analyses, dashboards, and visualizations; support business decisions and risk monitoring using various analytic tools and SQL.

The Manager of RevOps/Yield analyzes patterns and data to optimize ad operations, manage vendor relationships, and oversee a remote team for revenue generation.

The Product Analytics Data Scientist will enhance algorithms based on customer needs, optimize grocery orders, and support data use for improved ordering performance.