Top Remote Analysis Reporting Jobs in Ann Arbor, MI

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

Lead implementations and ongoing analytics consulting for community health centers: extract, clean, and analyze EHR data (heavy SQL), build reports and visualizations, manage projects and stakeholders, train client data teams, and inform product improvements based on customer feedback and domain expertise.

Design, build, and maintain scalable ETL/ELT data pipelines and data models integrating USMC logistics systems (GCSSMC, TLS). Ensure data quality, RMF/cybersecurity compliance, support analytics, dashboards, APIs, and collaborate with NIWC Atlantic, stakeholders, and cross-functional teams to improve logistics visibility and readiness.

Design, develop, and maintain data integration, analytics, and operational solutions using Palantir Foundry. Build scalable data pipelines, Ontology models, data products, and user-facing applications. Integrate cloud and enterprise data sources, implement data quality, governance, and lineage, and collaborate with stakeholders to deliver production analytics and AI-enabled solutions.

Support donor systems and revenue channels by maintaining data syncs and ETL processes, managing CRM administration, building reports and extracts, troubleshooting integrations, handling data hygiene (duplicates, batches), and documenting data flows to ensure accurate fundraising and reconciliation.

Own and optimize data infrastructure and ETL/ELT pipelines using SSIS and Microsoft Fabric. Build and maintain SQL Server data warehouse staging, transformations, and lakehouse ingestion. Implement CI/CD, version control with GitHub, monitor pipeline health, troubleshoot data issues, document data flows, and translate stakeholder requirements into data engineering solutions that support BI reporting.

Lead development of credit and fraud strategies using data, ML models, and advanced analytics. Design A/B tests, analyze portfolio performance, conduct root-cause and ad-hoc analyses, and partner with Data Science, Product, and Engineering to implement and validate risk and fraud prevention strategies while communicating findings to stakeholders.

The Product Analyst will design experiments, analyze user behavior, and communicate insights to drive engagement and retention decisions effectively.

The Market Analyst will analyze market data to inform growth strategies, synthesize insights for decision-making, and build analytical models to support performance across markets.

The Manager, Monitoring Coverage & Analytics leads assessments of transaction monitoring effectiveness, partners with analytics and operations teams, and supports regulatory readiness. Responsibilities include optimizing monitoring rules, analyzing metrics, and documenting findings for compliance.