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

The Sr. Data Integration Consultant will provide high-quality pre/post-sales consulting, focusing on data integration and discovery projects. Responsibilities include project planning, troubleshooting, implementation, maintaining skills related to Actian products, mentoring, and creating documentation. Candidates must be proficient with various integration tools and database management systems.

The Manager of People Insights & Analytics will establish Stitch Fix’s listening strategy and create an integrated analytics roadmap. The role involves improving decision-making through data in collaboration with senior leaders while managing people analytics platforms and enhancing data literacy across the organization.

The Senior Data Scientist will lead data science initiatives, create and implement research methodologies, and collaborate with cross-functional teams to optimize product offerings based on runner behavior and performance data. Responsibilities include managing projects, developing data pipelines, and providing actionable insights.

The Senior Analyst will enhance data-driven decision-making by analyzing complex datasets, collaborating with Product Managers, and providing actionable insights. Responsibilities include conducting research studies, performing advanced analytics using machine learning techniques, and communicating findings to stakeholders to guide strategic decisions.

Oversee and optimize financial systems and processes focusing on Workday, leading integrations and financial reporting. Collaborate with teams to gather requirements and enhance configurations for efficiency. Manage banking integration and support users with troubleshooting while mentoring team members on Workday functionalities.

The Senior Data Systems Engineer will work with clients to develop innovative technology plans, focusing on data modeling, system architectures, and reporting requirements. Responsibilities include ETL development, report creation, and designing analytics platforms, while applying machine learning and statistical analysis expertise to address operational challenges.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.