Top Senior Analysis Reporting Jobs in Detroit, MI

Lead design and operation of large-scale data pipelines and data APIs. Build Spark/PySpark workflows on Databricks, optimize job performance, manage data quality and observability, and develop MCP servers and AI-agent integrations. Mentor engineers, define standards, support production incidents and on-call rotations, and collaborate with stakeholders to deliver scalable data platform products.

Architect, build, and operate low-latency market data systems, including feed handlers, normalization, distribution, and exchange connectivity. Design high-throughput infrastructure for real-time trading data, improve reliability and performance, participate in observability, on-call, and incident response, and deliver well-tested features end to end. Partner with engineering, product, and cross-functional stakeholders while leading a lean, high-impact team.

Build Sailor Health’s foundational data platform from scratch. Responsibilities include developing Snowflake and dbt pipelines integrating EHR, CRM, and communications data; creating data-powered web applications; automating clinical and billing workflows with Python; analyzing therapy transcripts and patient data using AI and machine learning; tracking clinical outcomes; and designing scalable data architectures in collaboration with clinicians, engineers, founders, and other teams.

Analyze healthcare claims and clinical data to build data models, analytical pipelines, predictive and risk-model inputs, dashboards, scorecards, and reusable analytics assets. Translate ambiguous customer and clinical questions into actionable data plans, manage delivery across stakeholders, present findings to customers, maintain quality standards, mentor junior analysts, and contribute to analytics roadmaps, automation, and scalable methodologies.

Design, build, and operate scalable data pipelines and integrations for an RCT-driven voter platform. Extend data platform, optimize cost and reliability for election-scale loads, lead cross-system projects, ensure data quality, document systems, and participate in on-call incident response.

The Senior Analyst will support the personalization algorithm by conducting analyses, testing features, managing projects, and collaborating with teams to improve food recommendations for customers.

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.

Design, build, deploy, and maintain batch and streaming data pipelines and governed data products using Azure Databricks, Delta Lake, SQL, Python, and PySpark. Implement data quality, monitoring, metadata, lineage, access controls, CI/CD, testing, and production support. Collaborate with business, platform engineering, analytics, and data teams to deliver trusted data for Power BI and other consumers.

Analyze marketing and digital marketing performance across social, web, app, and email channels. Develop segmentation, attribution, funnel, conversion, retention, KPI, dashboard, and competitive analyses. Design A/B and multivariate experiments, identify data issues, and translate statistical findings into actionable recommendations for stakeholders and senior leaders. Collaborate with technical teams to improve data reliability and support consumer acquisition, retention, and product performance.

Design, develop, test and support Informatica ETL workflows integrating Oracle, MySQL, Salesforce and Data Lake sources. Create/modify Perl scripts, produce design documentation and data flow diagrams, collaborate with QA and business users, troubleshoot issues, and cross-train team members. Follow secure development practices and support performance and integration testing.