Top Data & Analytics Jobs in Detroit, MI
The Senior Data Scientist will lead the development and optimization of generative AI models for text, image, and other data types. Responsibilities include designing advanced models, conducting experimentation, collaborating with teams, and mentoring junior staff while staying updated on generative AI research.
The Strategic Market Insights Analyst conducts in-depth research and analysis on market trends and competitors, translating findings into clear reports and presentations for C-suite leaders. They collaborate with internal teams to develop strategic collateral, ensuring insights align with business objectives and facilitating informed executive decision making.
The Lead SAP MM Analyst supports SAP MM business applications, configures software, writes documentation, designs systems to fulfill complex business needs, estimates efforts for projects, and provides user training. This role involves problem-solving, project leadership, and maintaining standard methods for the team's work, while also participating in disaster recovery and change management initiatives.
The Sr. Analyst will conduct complex data analyses to support large hospital systems, focusing on financial aspects such as pricing and rebates. Responsibilities include analyzing provider data, identifying savings opportunities, communicating findings, and creating analytical reports.
As a Quality Assurance Analyst, you will be responsible for optimizing and performing testing and monitoring activities to ensure the quality of systems supporting the company's operation. You will develop, document, and execute test plans and cases, analyze test results, track issues, and lead the resolution of testing issues. Additionally, you will guide other QA Analysts, lead the development of new ideas to improve systems, and participate in projects and new client implementations.
The Senior Tableau Developer will design and implement BI solutions, focusing on intuitive dashboards and reports in Tableau, data integration, ETL processes, and data modeling. This role includes collaboration with Data Engineering, stakeholder engagement, performance optimization, and documentation/training to maximize BI tool usage.
As a Data Engineer, you'll maintain data transfer operations securely, automate configuration management, apply data engineering technologies, collaborate with various teams to innovate, manage web scraping tools, and identify efficient coding solutions.
The Senior Product Analyst will coordinate the product testing process, manage A/B tests, analyze consumer interaction data, and collaborate with cross-functional teams. This role requires critical thinking to turn test results into insights, improve testing processes, and communicate findings to stakeholders.
The Data Analyst will evaluate large datasets for quality, conduct advanced data analysis, and assist in extracting, transforming, and loading data. Responsibilities include automating tasks, performing analyses for client experience improvements, collaborating with attorney teams on reporting systems, and developing dashboards and databases.
As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.
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