Top Data & Analytics Jobs in Kansas City, MO

Designs, builds, and maintains secure data pipelines, ETL processes, data warehouses, and quality controls. Collects, validates, cleanses, and analyzes data; develops SQL queries, Tableau dashboards, and AWS-based solutions; investigates data integrity issues; documents standards; and partners with stakeholders to deliver technical solutions using Agile and DevOps practices.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Design, build, and manage scalable batch and real-time data pipelines, databases, and processing systems. Develop and administer Databricks and Snowflake environments, optimize data architecture and distributed processing, manage PostgreSQL and MySQL databases, and implement governance, monitoring, alerting, and troubleshooting practices. Collaborate with analytics, engineering, and product teams to deliver reliable data solutions, document workflows, and promote modern data engineering practices.

Designs, builds, and maintains scalable data pipelines and warehouse solutions. Responsibilities include data collection, cleansing, validation, quality assurance, ETL, integrity audits, documentation, anomaly resolution, and technical requirements analysis. The engineer develops SQL-based solutions, Tableau reporting, AWS cloud data infrastructure, and automated testing processes while collaborating with customers and Agile/Scaled Agile teams. The role supports data-intensive research, supervision, regulation, payments, and economic analysis across the Federal Reserve System.

Own the organization’s data platform, including production pipelines, cloud warehouse architecture, dimensional data models, data quality, testing, documentation, and lineage. Partner with Finance, HR, and Operations stakeholders to build reliable reporting solutions. The role requires independent technical ownership, performance and cost optimization, schema management, and scalable integration of new data sources and business systems.

Ten-week onsite summer internship exploring data engineering, analytics, cloud computing, artificial intelligence, and machine learning. The intern will collaborate with data professionals, contribute to business-impacting projects, learn how data is managed and transformed, use modern platforms and pipelines, and present findings to stakeholders.

Analyzes sales commission data, validates calculations and payouts, investigates discrepancies, prepares reports and dashboards, supports commission accruals and accounting entries, maintains commission systems and controls, and develops automated reporting solutions. Partners with Sales Operations, Finance, Payroll, and HR to improve commission accuracy, compliance, efficiency, and compensation-plan effectiveness.

Analyzes sales commission data, reconciles transactions, investigates discrepancies, prepares reports and dashboards, supports accruals and accounting entries, maintains commission systems and controls, and improves reporting automation and compensation plan processes.

Designs, builds, and maintains batch and near-real-time data pipelines and curated datasets for insurance and annuity reporting, analytics, and business operations. Translates business requirements into integration solutions using SQL and ETL tools, implements data quality and reconciliation controls, optimizes workflows, documents lineage, and supports testing, deployment, monitoring, and issue resolution. Works independently on moderately complex pipelines while escalating architectural decisions to senior engineers or data architects.

Supports enterprise data governance for acquired-company integrations, including structured and unstructured data inventories, classification, ownership, retention, legal holds, quality, metadata, lineage, stewardship, and compliance documentation. The role partners with Legal, Privacy, Risk, Security, technology teams, and vendors to support migration, archival, modernization, analytics enablement, reporting, readiness metrics, and defensible disposal activities.