Top Remote Data & Analytics Jobs in Detroit, MI

Enter, maintain, validate, and organize data in databases, spreadsheets, and other systems. Verify records for accuracy, correct discrepancies, maintain data consistency, generate reports, perform quality-control checks, and support data-related projects. The role requires high typing speed and accuracy, advanced Microsoft Office and database management skills, strong analytical abilities, and experience working remotely.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

Develops and delivers workforce analytics, scorecards, dashboards, and reports supporting human capital management decisions. Provides real-time and forecasted workforce data for planning and business outcomes. Applies data analysis, visualization, forecasting, and modeling to influence organizational decisions, with responsibility for creative problem-solving and analytical delivery.

Build and expand the company’s analytics data stack using Looker, LookML, dbt, BigQuery, and Airbyte. Develop data models, integrate multiple business systems, create KPI dashboards, and analyze product usage, customer health, adoption, and revenue data. The role empowers business teams with self-service analytics, actionable insights, and data-informed decision-making while developing a strong understanding of business metrics.

Conduct open-ended research on markets, companies, products, funding, competitors, technologies, people, and regulations. Transform findings into clear, sourced matrices, briefs, landscape maps, and one-pagers with actionable points of view. Use AI tools and lightweight scripts or scrapers to accelerate research, manage multiple shifting requests, and communicate concise conclusions to leadership.

Lead architecture, development, and optimization of a cloud-native data platform. Design high-volume batch and streaming pipelines, optimize data processing across AWS, Snowflake, Redshift, and Athena, and implement Iceberg-based data management. Establish security, privacy, observability, and DataOps practices while mentoring engineers, guiding technical direction, collaborating with data science teams, and delivering scalable petabyte-level data infrastructure.

Develops scalable data and software systems using Python and Apache Spark. Designs APIs, data models, ETL workflows, orchestration, and data interactions while optimizing performance, scalability, integrity, and security. Builds user interfaces, contributes to automated testing, applies Agile practices, and supports CI/CD delivery. The role requires strong software engineering, distributed computing, analytical, and communication skills, with AWS, R, Databricks, and SAS experience preferred.

Leads advanced analytics for Tribal healthcare initiatives, including data resource inventories, quality assessment, linkage analysis, predictive and prescriptive modeling, dashboards, and management reporting. Develops data standards, quality frameworks, automation, and infrastructure strategies while ensuring federal compliance. Coordinates cross-functional analytics projects, supports healthcare quality measures, mentors junior staff, and promotes data-driven decision-making using Python, R, SQL, statistical methods, and machine learning.

Provides senior database administration and engineering for Navy MFOM application and infrastructure environments. Responsibilities include database design, implementation, testing, maintenance, upgrades, security, performance, backup and recovery, modernization, cloud integration, incident resolution, and technical documentation. Coordinates database changes and risks across software, systems, infrastructure, cybersecurity, and government stakeholders while providing technical leadership and continuity for mission-critical database operations.

Develop and optimize SQL Server and SSIS billing pipelines, automate data movement and validation with Python, and use R and Python for analytics, anomaly detection, and billing decision models. Build data-quality frameworks, support internal reporting tools, integrate ERP APIs, and collaborate with finance and operations stakeholders. The role requires maintainable, tested, auditable solutions and ownership of features across databases, pipelines, analytics, and internal applications.