Top Data & Analytics Jobs in Detroit, MI

The Staff Data Analyst will facilitate data-driven decision-making, collaborate with various teams, build data solutions, and mentor team members to enhance analytics capabilities at Jellyfish.

As an SEO Analyst, you will analyze data to improve SEO strategies, provide performance reports, and collaborate with teams to enhance user experiences and brand visibility.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

As a Senior Data Analyst, you will work with business partners to enhance data-driven decision-making on payments, develop dashboards, and analyze strategic opportunities while effectively communicating insights across teams.

As the Deal Desk Lead, you'll manage deal execution, optimize sales workflows, and collaborate across Finance, Sales, and Legal to enhance operational efficiency and scalability.

The Business Intelligence Developer will build scalable data models, develop KPIs, optimize BI tools, and translate insights for strategic decision-making across departments.

The Senior Catastrophe Analyst will develop automated processes, databases, pricing tools, and provide analytics to improve portfolio profitability while mentoring junior team members.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

As an intern, support the National Tax Office with research on tax issues, assist in preparing returns, and engage in team activities to enhance tax knowledge.

Assist with tax-related functions including mergers, preparing tax returns, and supporting engagement teams. Participate in internal tax education and research.

Assist with tax consulting services related to state and local taxes by preparing returns, researching issues, and writing memos while developing client relationships.

As an Analytics Engineer, you'll develop a medallion-style data architecture, documentation, optimize data pipelines, and collaborate with teams using SQL and modern tools.

As a Senior Analytics Engineer, you'll develop data architecture in Databricks, using SQL and dbt to model data and optimize pipelines, ensuring data integrity and supporting business decisions.