Top Senior Data & Analytics Jobs in Kansas City, MO

Designs and maintains scalable data pipelines, integration workflows, data lakes, and engineering platforms using AWS, InterSystems Ensemble, HL7, CCDA XML, and MySQL. Responsibilities include transforming and validating clinical data, optimizing queries, supporting analytics, solving complex client data challenges, and mentoring junior engineers. The role also involves client collaboration, critical thinking, Agile delivery, and adherence to professional and technical standards.

Designs, builds, administers, and supports cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Leads data quality, governance, troubleshooting, testing, automation, reporting, dashboards, and infrastructure design. Collaborates with Agile teams to translate business requirements into technical capabilities and supports decision-making for Audit and business management. The role is full-time onsite at an eligible Federal Reserve location and requires extensive security screening.

Designs, builds, administers, and troubleshoots cloud data architectures, databases, schemas, metadata repositories, ETL processes, and analytic models. Ensures data integrity and quality, develops SQL queries and reports, leads testing and automation improvements, and supports dashboards, governance, data sharing, and metric collection. Collaborates with Agile teams to translate business requirements into technical infrastructure designs and decision-support capabilities using AWS, Java, Python or Scala, GitLab, and Terraform.

Leads marketing measurement and analytics across media, promotions, and customer engagement. Uses marketing mix modeling, experimentation, incrementality analysis, SQL, and large datasets to evaluate performance, optimize budgets and channels, and connect marketing investments to revenue, profitability, and ROI. Partners with Marketing, Finance, Insights & Analytics teams, and external vendors while translating complex findings into executive-ready recommendations and dashboards.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

Design, build, and optimize modern Azure and Databricks data platforms for clients. Develop batch and streaming ingestion pipelines, lakehouse and medallion architectures, dimensional models, and transformation workflows. Lead discovery sessions, requirements workshops, architecture discussions, and solution reviews. Recommend practices for governance, lineage, monitoring, DevOps, security, and data modeling while translating business needs into scalable technical solutions and communicating with technical and executive stakeholders.

The Data Architect/ETL role involves designing and maintaining data structures, leading projects, advising IT teams, and ensuring data quality.

The Data Product Manager will lead cross-functional teams to create high-impact data products, translate business needs into technical requirements, and manage product roadmaps. Responsibilities include collaborating with stakeholders, optimizing product performance, and ensuring compliance with industry standards.

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.