Top Data & Analytics Jobs in Kansas City, MO

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.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

The Underwriting Data Analytics Consultant analyzes data to support underwriting decisions, develops reports, and collaborates with stakeholders on data-intensive projects.

The Business Analyst analyzes financial and operational data, supports decision-making, tracks KPIs, and collaborates on business transformation projects to improve processes and achieve organizational goals.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

Support and monitor ETL processes, data lake and reporting systems; troubleshoot and resolve production failures; create reports and processes as needed; communicate with business partners; participate in scheduled on-call rotations and provide status updates to managers.

The Business Analyst will engage with clients and stakeholders to gather requirements, document processes, and support Agile delivery for a Money Market portal at SS&C.

The role involves developing and maintaining data models and ETL processes, overseeing data quality, mentoring junior staff, and integrating diverse data sources using Microsoft technologies.

As a Data Engineer, you will optimize data platforms using Microsoft technologies, support clients in data challenges, and implement data solutions.

The Data Architect will design scalable data platforms and governance frameworks, manage large datasets, and enhance data accessibility for researchers, leveraging cloud technologies and collaboration with application architects.