Top Senior Data & Analytics Jobs in Wichita, KS

The Lead Healthcare Analyst will analyze healthcare data to drive program effectiveness, support strategy, and improve patient outcomes, collaborating with various stakeholders.

Lead detection, investigation, and mitigation of payments fraud across cards and mobile. Build and own risk controls, metrics, reporting, and cross-functional analytics projects using SQL and BI tools to scale monitoring and partner with product, data science, and engineering.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

Lead the development of analytics solutions across operations, manage a team of analysts, and drive operational excellence and decision-making through data insights.

Manage and validate financial models, ensuring accuracy and compliance. Collaborate across teams to improve model performance and frameworks.

As a Staff Product Analyst, you'll define analytics strategies, build measurement infrastructure, design experiments, and partner with product teams to boost self-serve conversion and product adoption.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

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.

The Principal Fraud Analyst will lead risk framework evolution, develop fraud metrics, collaborate on scalable solutions, and enhance risk detection capabilities in payments.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

The Principal Data Engineer will design and implement enterprise data frameworks, mentor teams, and ensure data quality while collaborating with stakeholders.