Top Data & Analytics Jobs in Wichita, KS

Lead embedded BizOps analytics for a core business area (growth, product, AI, or partnerships). Define problems, build metrics, reports, experiments, and analyses, and drive data-informed recommendations end-to-end to influence leadership and deliver measurable business outcomes.

Own the end-to-end analytics function embedded in a core business area (growth, product, AI, partnerships). Define problems and metrics, build reports, run analyses and experiments, surface insights, make recommendations, and drive outcomes with cross-functional teams.

Build and optimize Power BI reports, dashboards, and semantic models. Partner with stakeholders and Data Engineering (Microsoft Fabric) to transform data into insights, use Copilot Studio for AI-enabled reporting, improve performance/governance, support Excel-heavy reporting, and assist project management to maintain contractual compliance.

Design, build, and optimize Microsoft Fabric-based lakehouse solutions. Develop scalable ETL/ELT pipelines and Spark notebooks, implement medallion architectures, support CI/CD, governance, lineage, and client-facing collaboration for cloud analytics projects.

Senior Exasol data engineer to design, build, optimize, and validate SQL-based data pipelines for healthcare analytics. Responsibilities include complex query tuning, extracting/staging from SQL Server, chart validation, applying clinical terminologies, quality measure development, and maintaining disciplined version-controlled engineering practices.

Summer 2027 paid internship in FTI Consulting's Technology segment. Interns join project teams, work with professionals and senior leaders, gain hands-on experience in Technology or Advanced Analytics practice areas, and are mentored by a dedicated coach. Candidates must be students graduating Dec 2027–Sep 2028, work full-time during the internship, and be authorized to work in the U.S.

Lead design and governance of a large-scale AdTech data layer: model conceptual/logical/physical schemas, profile and map data flows, define batch and real-time ingestion and integration patterns, architect cloud-native AWS solutions (including graph/vector/RAG use cases), establish governance, and produce architecture artifacts and implementation roadmaps while collaborating with engineering, product, and cloud teams.

Design, build, and maintain scalable ETL/ELT data pipelines and analytical platforms on AWS and Databricks. Migrate legacy workflows to cloud-native services, implement data lake and catalog solutions, enable AI/RAG/vector search, ensure FedRAMP/NIST compliance, optimize performance, and mentor junior engineers while collaborating in Agile teams.

Design, build, and operate Alpaca's scalable data platform and lakehouse infrastructure. Build low-latency streaming and CDC ingestion, batch pipelines landing in Iceberg, and tooling for BI and AI consumers. Manage IaC, Kubernetes deployments, monitoring/incident response, and partner with DevOps and analytics teams to meet growing data requirements.

Restructure and maintain Airtable relational architecture for fertility industry data, implement automations and integrations (Zapier, Softr), enforce data governance and permissions, build dashboards and reports, execute data acquisition and enrichment to scale the database, conduct audits, document SOPs, and support onboarding and system monitoring.