Top Senior Level Data & Analytics Jobs in Kansas City, MO

The Lead Business Planning Analyst is responsible for dataset development, modeling, reporting, and analysis to support Retail Markets. They will collaborate with Finance and Retail teams, challenge processes for profitability, and conduct analyses to inform business strategies and financial forecasts.

The Senior Analyst, Sales Strategy & Compensation will lead the development and implementation of U.S. sales incentive plans, manage the sales planning process, prepare commission statements, provide management decision support, develop presentations for management, and collaborate cross-functionally on ad hoc projects.

The Data Architect will support and enhance Data & Analytics platforms, focusing on data movement and database technologies for analytics and ML/AI. Responsibilities include identifying performance bottlenecks, leading architectural development, designing end-to-end solutions, collaborating with various teams, and ensuring project alignment with best practices.

The Global EHS Programs Analyst is responsible for auditing global EHS programs, ensuring compliance, collaborating with key functions to standardize health-related programs, providing guidance to Emergency Response Teams, and developing training materials. This role also supports electric incident management and EHS communications, while tracking metrics to improve training engagement.

The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.

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 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.