Top Analysis Reporting Jobs in Ann Arbor, MI

Own Silver and Gold medallion-layer modeling and semantic layer governance using dbt and SQL. Improve warehouse performance and cost, standardize BI tooling, collaborate with stakeholders to produce trusted metrics, troubleshoot data quality, and evolve analytics platform.

Own implementation, maintenance, and optimization of client eligibility and claims data feeds. Analyze feed performance, troubleshoot discrepancies, produce error reports, test integrations with external partners, and improve internal tools, documentation, and processes to increase automation and reliability.

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.

Develops and supports BI dashboards, reporting cubes, batch reports, analytics applications, and data models for revenue cycle operations. Translates business requirements into technical specifications, leads testing and code reviews, provides production support, evaluates BI tools, manages release deliverables, and mentors BI staff and users. Collaborates with healthcare business teams and infrastructure stakeholders while contributing to BI strategy and technical project leadership.

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 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.