Top Entry Level Data & Analytics Jobs in Detroit, MI

Supports analytics teams by creating reports and dashboards, conducting data extraction, cleaning, validation, and basic analysis. Documents queries and business requirements, translates business needs into specifications, supports projects under guidance, and communicates findings to technical and nontechnical stakeholders. The role also develops foundational skills in data storytelling, governed cloud data platforms, metric validation, and workload organization.

Analyzes and interprets HR workforce data to identify trends, improve data quality, and support strategic decisions. Develops data collection systems, maintains databases, cleans and validates datasets, runs SQL queries, creates reports, and presents findings. Partners with stakeholders on data discrepancies, process improvements, project schedules, and documentation while supporting the full data lifecycle from acquisition through visualization.

The Technical Business Analyst is responsible for production support of Hadoop platforms, overseeing data acquisition, ingestion, preparation, and access, and managing incident resolution and operational tasks with a team.

The role involves analyzing data in the automotive domain, requiring strong skills in IT security, analysis, organization, and presentation.

The Database Administrator III role requires U.S. citizenship and completion of all work within the continental United States, Alaska, or Hawaii. The provided description does not specify database administration responsibilities, tools, or technical qualifications. Compensation is $120,000 to $150,000 annually.

Maintain mine-action information management systems, databases, data flows, and quality-control processes. Produce GIS maps, web maps, visualizations, analyses, and prioritization tools using ArcGIS and related platforms. Support mobile data collection, SQL reporting, UNMAS data transfers, staff training, and sector technical working groups. The role supervises data-collection staff and requires English and Arabic proficiency, with rotational deployment in Gaza and regional travel.

Owns analytics datasets and data products for Netflix’s cloud games infrastructure. Builds scalable pipelines, data models, metrics, dashboards, tooling, and self-service assets from massive telemetry data. Partners with infrastructure engineering, data engineering, and data science teams to improve quality of experience, capacity, and utilization insights. Responsibilities include telemetry and logging, visualization, trustworthy documentation, scalable data solutions, and independently prioritizing high-impact investments.

Build and maintain enterprise data pipelines and infrastructure supporting natural-language querying, semantic search, knowledge graphs, and GraphRAG for the SEC. Responsibilities include onboarding data sources, processing XBRL and financial filing data, managing metadata and lineage, validating data quality, monitoring pipeline health, resolving integration issues, and using AWS data services. The role also requires compliance with federal security standards and collaboration with the Data Architect.

Build and operate large-scale data pipelines, web-scraping systems, and data-collection tools for AI datasets. Maintain analytical databases, optimize queries, troubleshoot pipeline and data-quality issues, manage containerized workloads across Kubernetes and Linux infrastructure, and support CI/CD workflows. The role also involves documenting technical processes, researching improvements, and developing scalable APIs in a fully remote environment.

Build, test, maintain, and enhance Workday financial reports, dashboards, and reporting solutions. Gather requirements, validate and reconcile data, document report logic, troubleshoot performance issues, support Workday implementations and releases, and train end users. Partner with Finance, HR, Supply Chain, and other stakeholders to ensure accurate, compliant, and actionable reporting across a nonprofit healthcare system.