Top Senior Data & Analytics Jobs in Wichita, KS

Own Monthly and Quarterly Business Review analytics for Commercial Card and Merchant businesses. Produce executive-ready insights on revenue, pricing, interchange, and transaction trends; support leadership requests; maintain pricing models and contract repository; automate reporting; partner with Sales, Product, Finance, and Business Management to inform decisions.

Lead and scale the Data & Analytics Practice, drive AI-enabled data solutions, oversee client engagements, and mentor a high-performing team. Define growth strategies and modern data architectures while ensuring alignment with business outcomes and collaboration among stakeholders.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design and maintain data pipelines (SQL, dbt, BigQuery), ensure data quality and event tracking, analyze A/B tests, build funnel and attribution reporting, create Looker dashboards, and support LLM-enriched data models for smarter targeting and segmentation.

Technical lead on the Distribution Center data team building and scaling ETLs and data integrations using PySpark and DBT. Design robust pipelines to process large customer datasets, improve onboarding tooling, mentor engineers, manage contractors, and collaborate cross-functionally to support ML-driven grocery solutions.

Design and build complex dashboards and interactive visualizations in Power BI and SAP SAC; integrate and model data from SAP BW, SAP HANA, and SQL; develop planning models and advanced formulas for financial/operational planning; gather requirements from stakeholders; optimize dashboard performance, manage data pipelines, and maintain report stability.

Lead and mentor a team of data analysts while remaining hands-on with SQL and BI tools. Partner with business leaders to translate goals into data requirements, deliver high-impact analyses and presentations, and recommend operational changes across marketing, call center, and clinical operations.

Design and own data migration strategy and architecture. Map source-to-target data models, build data dictionaries, perform migrations and testing, reconcile results, and collaborate with stakeholders and project teams to ensure successful modernization.

Lead measurement strategy for paid and performance marketing, design and interpret A/B and lift tests, run incrementality and attribution analyses, and optimize channel budgets. Build business cases, develop dashboards and BI workflows, evaluate AI-enabled analytics tooling, and enable self-serve analytics. Partner cross-functionally and present insights to leadership to drive experimentation, growth, and LTV outcomes.

Design and build cloud-based data applications and pipelines to analyze clinical data, enrich and provision datasets, and support clinical/operational processes. Mentor junior engineers, drive R&D for repeatable templates, collaborate with Product/Platform/Architecture, and prioritize source control, documentation, and simple solutions using modern data, ETL, and LLM tooling.