Top Entry Level Data & Analytics Jobs in Detroit, MI

As a Data Operations Analyst, you will maintain and enhance Charge Integrity SaaS by utilizing SQL and data analysis to solve complex revenue cycle problems and ensure accurate charge capture.

The Vehicle Data Editor will manage automotive data entry, ensuring completeness and accuracy by researching and interpreting data from OEMs and assisting in data cleanup projects.

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.

As a Liquidity Operations Analyst, you will process and validate trading data, monitor liquidity dashboards, and collaborate with teams to ensure operational efficiency.

Responsible for ensuring data quality through governance, cataloging, and profiling. Familiarity with metadata management and data integration is beneficial.

The Visualization Architect will lead an analytics solution for Valvoline's Global Products, focusing on metric standardization, reporting consistency, and scalability. Responsibilities include implementing best practices, designing data frameworks, creating dashboards, and coaching resources on analytics methodologies.

Comerit seeks multiple consultants for data migration projects involving SAP and AWS technologies. Roles include Data Engineer and Architect positions focusing on Analytics and BI.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

The Lead Actuary oversees advanced analytics and forecasting for financial data, develops business intelligence strategies, collaborates with stakeholders, and ensures data integrity while advising executives on strategic decisions.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Data Scientist will work with the team to build and optimize models, interpret data, and support product development using massive data sets for advertising effectiveness.