Top Remote Data & Analytics Jobs in Detroit, MI

Analyze marketing and customer data to identify trends and optimization opportunities. Build scalable lead ingestion solutions, write SQL and Python for ETL and analysis, maintain curated datasets and dashboards, automate reporting, and collaborate with marketing, analytics, data science, and engineering teams while documenting data definitions and methodologies.

Design and implement data federation and lakehouse solutions. Build scalable ETL/ELT pipelines in Python/PySpark, optimize Spark and SQL performance, manage Delta/Iceberg/Hudi tables, enforce governance and fine-grained access, and support cloud deployments (AWS/Azure/GCP) for analytics and AI use cases.

Lead development and execution of enterprise data management strategy, governance, and quality. Oversee MDM, metadata, data lineage, catalogs, lifecycle, profiling, cleansing, and compliance. Partner with engineering, analytics, and security to deliver reliable data platforms, KPIs, and mentor a data management team.

Lead analytical detection of Medicaid fraud, waste, and abuse in home- and community-based care. Translate findings into detection logic and product requirements, validate tools, and present insights to state agencies and payers. Collaborate with product, engineering, and clients to embed operationally credible, actionable program integrity capabilities.

Build and maintain production-grade dbt data models and end-to-end data pipelines. Collaborate with Finance, Engineering, Sales, and Product to deliver reliable reporting, analytics, and scalable solutions, reducing manual workflows and ensuring data accuracy.

Perform quantitative and qualitative analysis, build reports and dashboards, produce datasets, troubleshoot data issues, and present findings to stakeholders. Collaborate across teams and third parties to define reporting specs, improve data quality, and recommend KPIs and best practices to support decision-making.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

Hands-on business and delivery analyst who translates stakeholder needs into data integration solutions. Leads current/future-state and gap analysis, requirements, mapping, migration, testing, and delivery coordination. Partners with Operations, Finance, Compliance, and Purchasing to streamline workflows, promote data-driven decisions, and support adoption of analytics and cloud-based tools to improve operational outcomes.

Lead and implement hands-on data governance across the Data Platform: build and operate the enterprise catalog, automate lineage, embed data quality checks, configure Snowflake governance, manage access workflows and event contract governance, create governance metrics and dashboards, define standards and operating model, enable domain teams, and hire and lead a small governance function.

Lead build-and-run of an enterprise Data Platform: design and operate Snowflake architecture, data governance, access/authorization, FinOps, ingestion (batch/CDC/streaming), medallion pipelines, data product publishing, and event streaming/messaging. Recruit and lead a cross-functional team, define operating model and standards, ensure secure governed connections for analytical and operational use cases, and align platform decisions with business priorities.

Partner with GTM leaders to turn large datasets into actionable insight, build dashboards and forecasting models, analyze pipeline/retention/productivity, and implement automation and AI-enabled workflows to improve revenue performance and GTM operations.

The Business Intelligence Analyst analyzes complex data for finance teams, develops reports and dashboards, and enhances financial reporting solutions. They collaborate with teams to ensure reporting accuracy and alignment with business needs.