Top Analysis Reporting Jobs in Detroit, MI

Part-time remote internship conducting competitive and labor-market research for skilled trades and infrastructure training, synthesizing insights using AI-assisted methods, pricing analysis, and delivering written and verbal reports to inform product and market strategy.

Design, build, deploy, and operate scalable production data pipelines and workflows (Airflow, BigQuery, dbt). Own medium-sized platform initiatives end-to-end, ensure SLA-driven freshness, quality, and cost controls, implement monitoring and CI/CD, participate in on-call incident response, optimize warehouse performance, and collaborate with analytics, data science, product, and engineering stakeholders.

The Senior Data Analytics Manager leads analytical initiatives for Student Success Center operations, translating operational needs into data-driven insights to enhance agent performance and student outcomes through frameworks and dashboards.

Lead finance operations analytics initiatives: design scalable datasets, build analytical models and dashboards, perform complex SQL analyses (revenue, cash flow, bad debt), automate insights, and present executive-level, data-driven recommendations while influencing cross-functional teams.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Lead and manage a small team to intake, frame, prioritize, and hand off data initiatives. Translate business needs into solution blueprints, ensure alignment with architecture and governance, define KPIs, track ROI, and drive stakeholder alignment across Claims, Finance, Marketing, and Operations.

The Competitive Intelligence Manager transforms market data into actionable insights, conducts strategic analyses, develops sales tools, and collaborates with product management to influence roadmaps for competitive features.

Lead end-to-end payroll data integrations during client onboarding: gather requirements, configure and test inbound/outbound payroll files, create technical specifications and mappings, collaborate with clients, payroll vendors, and internal teams, perform data validation and audits, and transition clients to ongoing operations.

Implement and manage full lifecycle client data integrations for inbound HRIS and benefits conversion files. Gather requirements, configure files, establish secure transfers, oversee testing, coordinate clients/vendors, track project status, and transition integrations to steady-state while ensuring data accuracy and resolving defects.

Manage a team of analysts for PBM analytics, driving insights and scalable data products. Partner with business leaders for effective reporting and analysis.

The Workforce AI Optimization Analyst supports forecasting, staffing operations, and process automation through data analysis, reporting, and dashboard creation.