Top Senior Analysis Reporting Jobs in Ann Arbor, MI

Partner with People teams to turn HR and org data into actionable insights. Build complex queries, statistical analyses, dashboards, and a centralized people data repository. Drive data governance, data quality, and stakeholder communication to support hiring, retention, productivity, and workforce decision-making.

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.

Designs, builds, and operates large-scale Hadoop data pipelines and analytics platforms. Responsibilities include ingesting, transforming, and analyzing structured and unstructured data; developing Spark-based processing solutions; managing streaming workflows; working with relational and NoSQL databases; orchestrating jobs; troubleshooting distributed systems; and supporting reliable, scalable production data platforms. Preferred experience includes cloud Hadoop environments, lakehouse formats, governance tools, Kubernetes, CI/CD, and infrastructure as code.

Senior individual contributor owning marketing data domain end-to-end: design, build, and operate data pipelines, models, governance, and certified data products across Microsoft Fabric and Google BigQuery to support marketing measurement, attribution, reporting, and self-service analytics.

Lead development and operation of the enterprise Data & Analytics platform. Own roadmap, platform capabilities, CI/CD, automated provisioning, monitoring, governance, cost optimization, and incident management. Partner with engineering, architecture, security, and business teams, act as product owner for platform services, and manage a team of platform engineers to enable self-service, secure, and scalable data delivery.

Design and implement OBIEE solutions and enterprise dashboards for capital markets. Develop RPD models and presentation layers, apply dimensional modeling and data warehouse best practices, enforce OBIEE security/roles, produce technical specifications, prioritize tasks, and liaise with clients and IT teams to gather requirements and deliver analytics solutions.

Design, architect, and implement end-to-end data ingestion, storage, modeling, and provisioning solutions on the GE Predix platform. Lead cross-functional teams, set data architecture standards, develop OLTP/OLAP models, perform POCs, and enable analytics at scale while enforcing data management policies.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.

Design and own end-to-end data domains and pipelines for plant sensors, lab results, and historians. Build schemas, ensure data quality, observability, and lineage, and supply model-ready time-series and analytical datasets to ML and operations teams. Mentor junior engineers and define data contracts.

Leads data analysis, modeling, governance, integration, migration, and cloud data architecture initiatives. Designs Azure data lakes and warehouses, develops ingestion pipelines and BI solutions, optimizes data quality and scalability, and supports reporting and actionable insights. Leads data engineering and analytics teams, reviews code, mentors staff, and develops CI/CD solutions using Bamboo, Azure DevOps, and Bitbucket. Collaborates with stakeholders to translate business needs into technical requirements and solutions.

Designs, builds, tests, and documents scalable data solutions and pipelines for CMS healthcare fraud, waste, and abuse initiatives. Responsibilities include data warehouse development, CI/CD deployment, orchestration, data quality, governance, AWS-based automation, testing, architecture support, and technical leadership. The role partners with analysts and business stakeholders, leads project initiatives, improves workflow automation, and ensures requirements and milestones are met.