Top Data & Analytics Jobs in Kansas City, MO

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Manage a team delivering accurate, timely data reporting for Transfer Agency clients. Build advanced Excel data models (Power Pivot, DAX, Power Query), automate reporting, develop dashboards and KPIs, ensure data quality and governance, and support process improvement and stakeholder reporting needs.

Develop and maintain Jasper reports with advanced Jasper-to-Excel formulas, write and optimize SQL (Sybase or MS SQL Server), work in Agile teams, and communicate with stakeholders to deliver reporting solutions.

The VP, Head of Policy & Data Operations manages data governance and operations for proxy voting policies, ensuring data integrity and operational excellence while collaborating across teams to optimize processes and manage risks.

Support, maintain, and expand the city's GIS: manage geospatial data, develop GIS applications, perform advanced spatial analysis, and provide cross-departmental GIS support and technical troubleshooting.

Support the Digital Product team with data analysis, reporting automation, KPI tracking, market research, incident/root-cause analysis, UAT, and cross-functional collaboration to improve digital banking product performance and customer satisfaction.

Support Head Start grant recipients by validating, cleansing, and managing grant-related data; maintain metadata and document repositories; run basic SQL queries and produce reports; monitor data quality metrics; support records retention, compliance, audits, and stakeholder collaboration to improve data processes and accessibility.

Lead unstructured data governance by designing and implementing metadata, classification, retention, and access controls. Administer governance tools (Collibra), partner with data owners and cloud teams to operationalize metadata pipelines, enable AI-ready assets, drive compliance and stewardship, and deliver training and automation to improve discoverability and retention readiness.

The Manager for Data Engineering will lead the Data & AI team, focusing on building modern data platforms, providing mentorship, and overseeing project delivery using Microsoft technologies.