Top Data & Analytics Jobs in Minneapolis, MN
The Data Scientist is responsible for applying data science principles and methods to solve complex problems and deliver actionable insights. Key responsibilities include using statistical and algorithmic techniques, managing R&D processes, and communicating insights to stakeholders. The role emphasizes collaboration, autonomy, and innovation in crafting data-driven solutions.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
As a Data Scientist at Zelus Analytics, you will perform data modeling and quantitative analysis, develop and validate statistical models, collaborate with engineering for model implementation, and support research projects aimed at enhancing player and team performance.
The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.
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.
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