Top Data & Analytics Jobs in Kansas City, MO

As a Senior Associate, you'll lead the development of Salesforce Marketing Cloud solutions, mentor junior members, analyze complex problems, and build strong client relationships while ensuring high-quality standards.

Own and operate the end-to-end consumer data pipeline: ingest, clean, transform, and unify multi-source behavioral data into a deduplicated identity graph. Build and run batch and streaming pipelines, enforce data-quality and observability, support low-latency AI query access, perform root-cause incident analysis, and ensure privacy, compliance, and clear data lineage. Collaborate across product and fulfillment teams to maintain SLAs and document data contracts and architecture.

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

The Business Intelligence Analyst will design and implement reports and analytics solutions in Power BI, collaborating with teams to gather data and deliver insights for better decision-making.

The Business Intelligence Analyst will design and develop analytics solutions in Power BI, collaborate with business leaders, and perform data analysis to support decision-making across the bank.

The Data Solutions Manager leads a team to deliver high-quality data solutions, overseeing data management, sharing, governance, and modernization across on-prem and cloud environments.

Develop, deploy, and maintain Oracle-based reporting solutions and dashboards (OAC, OTBI, FDI). Manage integrations and data migrations for Oracle Financials Cloud, perform system maintenance and performance tuning, build reporting strategy and documentation, partner with finance stakeholders to gather requirements, train users, ensure compliance and controls, and support analytics projects, upgrades, and issue resolution.

Lead digital analytics and performance reporting across channels; design measurement solutions, run exploratory analysis and A/B tests, define KPIs, present insights to clients, and mentor analytics teams.

Design, build, and maintain scalable data pipelines on Snowflake. Implement ingestion, transformation, and integration from multiple sources; optimize Snowflake performance; ensure data quality and security; document architecture; monitor and troubleshoot pipelines. Collaborate with analysts, data scientists, and stakeholders. Use ETL/ELT tools and cloud services, with experience in medallion architecture and data modeling.

Build and maintain financial and operational models and dashboards linking GTM activity to pipeline and revenue. Perform scenario and variance analyses, produce executive-ready narratives, support cross-functional data integration, and drive improvements to reporting, forecasting, and analytical processes.

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