Top Senior Data & Analytics Jobs in Wichita, KS

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

Lead Business Analyst for Payment Integrity responsible for analyzing client data, capturing business requirements, designing product solutions, supporting bids, documenting processes, driving implementations, and delivering KPI-driven insights. Works cross-functionally with sales, marketing, finance, and delivery to build business cases and improve claims auditing and analytics outcomes.

Lead architecture and delivery of a cloud-native, petabyte-scale data platform: define technical roadmap, mentor engineers, build ETL/ELT pipelines, enable real-time streaming, implement Iceberg table format, optimize Snowflake/Redshift/Athena compute, and integrate observability with Splunk.

Design, optimize, and scale Snowflake-based data architecture and pipelines. Implement data observability, operationalize MLOps, build semantic enterprise models, and deploy AI-assisted agents and automation for production analytics and commercial data products. Share cross-functional ownership for pipeline resilience, monitoring, and model lifecycle management.

Analyze and design enterprise healthcare data solutions using Snowflake and advanced SQL. Perform data profiling, reconciliation, anomaly detection, source-to-target validation, and quality testing across claims, membership, provider, and health plan data. Support data architecture, dimensional modeling, governance, metadata, lineage, cataloging, and MDM initiatives. Prepare data for AI and advanced analytics, translate business requirements into solutions, resolve data issues with stakeholders, and communicate actionable insights while following security and HIPAA requirements.

Build and maintain scalable data pipelines, warehouse models, metrics, and data quality systems for Airbnb’s AirCover programs. Reconcile external partner data, publish analytics-ready datasets, improve pipeline observability and reliability, and collaborate with engineering, product, finance, operations, analytics, and data science stakeholders. Contribute to data engineering standards and foundational systems supporting reporting, experimentation, claims operations, financial reconciliation, and expansion into new markets.

The Lead, Advanced Analytics, Acquisition will analyze data, define metrics, conduct A/B tests, and collaborate with teams to drive growth and insights.

Develop and maintain reports, dashboards, KPIs, and executive insights using SQL, Power BI, and other BI tools. Reconcile operational and financial data, investigate anomalies, ensure reporting quality, and document data models, metadata, governance, and reporting inventories. The role also performs advanced data manipulation, visualization, data storytelling, and analytical recommendations. Fraud and disputes domain knowledge is preferred.

Partner with stakeholders to translate business needs into BI requirements, design and maintain BI solutions and semantic layers, analyze large payment datasets, enforce data governance and quality, deliver insights and reports, lead stakeholder meetings and training, mentor team members, and drive process improvements for data loading and analytics.

Own Chamber’s central analytics and reporting function for value-based cardiology contracts and clinical programs. Build SQL models, governed metric definitions, a semantic layer, data-quality standards, executive and board reporting, payer deliverables, SLA tracking, and clinical analytics foundations. Establish reporting governance so finance, clinical, and operations teams can self-serve trusted insights. This hands-on player-coach role requires healthcare claims and clinical data expertise, value-based care fluency, and the ability to build a reporting function from scratch.

Lead business analytics strategy by developing dashboards, scorecards, KPIs, automated reporting, and performance measurement frameworks. Analyze sales and operational data to identify trends, risks, and opportunities, translating findings into actionable recommendations. Partner with Sales, Operations, Finance, IT, and leadership on forecasting, business cases, analytics modernization, governance, and process improvement. Communicate insights through reporting and data storytelling while mentoring analysts and leading cross-functional initiatives.

Designs, develops, deploys, maintains, and optimizes ETL processes and cloud-based system integrations for healthcare data warehousing and business intelligence. Works with DHA and Cerner inpatient and outpatient data, develops database procedures, validates migrations, performs data mapping and modeling, and supports data science and machine learning teams. The role also documents processes, tunes performance, captures client requirements, and manages data transformation initiatives.

Administer, optimize, secure, and automate cloud SQL, NoSQL, and graph database environments. Responsibilities include performance tuning, backups, disaster recovery, replication, migrations, access controls, monitoring, cost optimization, compliance, documentation, and incident troubleshooting. The role integrates databases with data platforms, pipelines, applications, and analytics tools while collaborating with engineering, architecture, security, and application teams. Candidates support AWS and Snowflake environments, modernization initiatives, audits, and Public Trust requirements.

Lead a remote analytics team to deliver dashboards, data products, and decision-support tools. Oversee project plans, stakeholder engagement, data platform modernization, ETL/automation, Tableau/Power BI deployments, statistical modeling, QA, metadata, and staff mentoring to support federal social service programs.

Establishes and maintains enterprise data governance frameworks, standards, ownership models, privacy controls, metadata, quality monitoring, and stewardship practices. Partners with legal, security, privacy, records management, engineering, and business stakeholders to ensure compliant data use. The role identifies governance risks, supports audits and remediation, develops documentation and training, monitors program metrics, and contributes to governance roadmaps and maturity improvements for a federal courts modernization program.