Top Data & Analytics Jobs in Kansas City, MO

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Lead development and execution of data-driven strategies, manage project planning and delivery, mentor and coach team members, ensure quality and ethical standards, design cloud data architectures and governance frameworks, analyze complex datasets to produce actionable insights, and drive continuous improvement using advanced analytics and modern data technologies.

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.

Supports IT Development and Data Engineering by querying, analyzing, and reporting on enterprise data. Builds and maintains dashboards and reports using SQL and BI tools, assists with data quality and documentation, and handles ad hoc stakeholder requests. The role provides exposure to data warehousing, ETL, and data governance while working under senior team members.

Analyzes complex automotive data, standardizes datasets and KPI definitions, partners with engineering and governance teams, and develops scalable self-service dashboards. The role translates ambiguous business needs into data requirements, automates digital analytics programs, investigates trends and attributes, and supports enterprise reporting. It requires SQL, Excel, data visualization, statistical analysis, and AI tool experience. The position is hybrid, requiring at least 10 office days monthly, with travel up to 10%.

Manage and support SQL Server, Oracle, Snowflake, and AWS PostgreSQL database environments. Responsibilities include protecting data integrity and security, performing change management, monitoring and tuning database performance, managing backups and recovery, and installing, configuring, maintaining, and upgrading database software. The role collaborates with users and technical teams to identify and mitigate database issues and prevent business disruptions.

Designs, builds, and evolves enterprise data lake and supporting AWS platforms across ingestion, storage, processing, integration, and governed consumption. Translates stakeholder needs into scalable architectures, develops reusable ingestion and deployment patterns, implements IAM and entitlement frameworks, and supports audits and control processes. Applies AWS DevOps, infrastructure as code, CI/CD, monitoring, and security practices. Provides technical leadership in Agile delivery, evaluates emerging technologies, and mentors junior developers.

Supervises Media Intelligence staff while producing client reports, QBRs, and ad-hoc analyses. Presents measurement findings, oversees workflow and deliverable quality, ensures data governance and privacy compliance, mentors analysts, and supports BI tool evaluation and process improvement. Requires advanced analytics, digital media measurement, BI platform, data visualization, and people-management expertise.

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.

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.