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

The Senior Data Engineer designs, implements, and maintains operational and reporting database systems, constructs data models, develops ETL processes, ensures data integrity, and translates stakeholder requirements into database designs. He/She troubleshoots system errors and promotes a positive team environment while adhering to compliance standards.

As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.

The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.

As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.

The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.

The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.

The Business Analyst will lead the implementation of data integrations for payments customers, guide them through the claims integration process, and manage technical support for ambiguous projects. They will document business processes, identify opportunities for scaling efficiencies, and provide expertise in data integration with a focus on improving operations and go-live processes.