Top Data & Analytics Jobs in Ann Arbor, MI

Owner of the analytics foundation: design and maintain BigQuery/dbt models, pipelines, and Looker Studio reporting; build AI workflows and web apps on GCP; integrate marketing, e-commerce, and fulfillment data; ensure GCP ops, security, and reliability; use AI-assisted tools daily and collaborate with business and client stakeholders.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

Gather and document business and functional requirements, analyze processes, recommend improvements, produce BRDs/FRDs/user stories and process maps, support solution design, UAT, testing and deployment, produce reports/dashboards, monitor project progress, and support change management and stakeholder communication.

Design, build, and operate large-scale Hadoop data pipelines and analytics platforms. Responsibilities include data ingestion, transformation, streaming, analysis, workflow orchestration, troubleshooting, and production operations across structured and unstructured data. The role supports enterprise analytics, machine learning, and reporting workloads while emphasizing reliability, performance, scalability, and cost efficiency.

Designs and maintains client metrics, dashboards, data pipelines, and data extractions supporting warehouse operations. Writes and optimizes SQL across relational and NoSQL databases, configures client solutions, performs quality assurance, troubleshoots data and architecture issues, and maintains documentation and code repositories. The role also involves client collaboration, technical training, data cleansing, requirements implementation, and occasional travel to customer sites.

Leads prospect research and analytics supporting fundraising across regional health ministries. Researches donor capacity, inclination, giving patterns, and organizational prospects; maintains prospect data; creates reports, dashboards, queries, and exports; performs wealth screening, data mining, and predictive analytics; collaborates with development teams; provides training and actionable insights for donor cultivation and solicitation while maintaining confidentiality and regulatory compliance.

Leads Ascent’s data practice, including DBAs, analysts, and engineers; owns the data roadmap, warehouse, Snowflake modeling, integrations, governance, reporting modernization, data quality, backup, retention, budget, and delivery standards. Partners with software teams, resolves complex data issues, supports customer-facing reporting, coaches staff, manages offshore teams, and introduces AI tools into development and delivery.

This role involves analyzing supply chain processes, focusing on purchasing and inventory, and requires report writing and analytical skills.

The Business Analyst will assess operations, analyze data, strategize improvements, and collaborate with clients while supporting a consulting team.

Design, build, and maintain ETL/ELT pipelines and data models, optimize tables/views for reporting, implement data quality checks and KPIs using SQL and Python, partner with BI analysts and stakeholders, migrate AWS/Athena data delivery to Databricks, and contribute to dashboard development for leadership reporting.