Top Data & Analytics Jobs in Wichita, KS

The Business Intelligence Lead will build and refine measurement systems, translating business objectives into metrics, ensuring data accuracy, and providing insights for strategic decision-making.

As a Product Data Analyst, collaborate with cross-functional teams to analyze product usage data, define KPIs, and support data-driven decisions to enhance customer experience and product performance.

As a Senior Data Scientist, you will analyze data, build models, and collaborate with teams to enhance credit evaluation using machine learning.

The Small Business Analyst drives growth in U100 markets by analyzing data, improving processes, advising sales, and supporting project management efforts in small business operations.

Manage a team of Data Analysts to provide actionable insights and dashboards for operational departments, overseeing business intelligence projects and collaborating with other teams to enhance data models.

The Risk Analytics Senior Manager analyzes business problems, tests hypotheses with data, and communicates insights to senior management, focusing on credit risk policies.

The Data Governance Analyst manages information flow, implements data standards, monitors data incidents, and collaborates with IT to enhance data quality and reliability.

The role involves forecasting and performance management of consumer deposits, delivering strategic insights through analytics, and communicating findings to stakeholders.

The Senior Analytics Engineer will design and implement scalable data solutions for Finance Analytics, reconcile data accuracy, and collaborate across teams to enhance financial datasets and reporting workflows.

The Senior Data Analyst collaborates with People teams to transform HR data into insights, conducts analyses, and builds dashboards to improve workforce effectiveness.

The Director, Product Analytics & Strategy will lead market expansion, define product strategy, analyze market opportunities, and drive cross-functional collaboration to shape product direction and company growth.

The Data Engineer will build real-time data pipelines for pricing algorithms, collaborate with teams, and contribute to batch data workflows.