Top Remote Data & Analytics Jobs in Wichita, KS

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

As a Senior Analytics Engineer, you will design data models and pipelines, ensuring data integrity for reporting and analysis. Collaborate with cross-functional teams to enhance data architecture and support analytics goals using modern tools and practices.

The Lead Business Intelligence Analyst will modernize reporting frameworks using Adobe Analytics and Power BI, translating complex marketing data into insights and driving strategic decision-making through effective communication with stakeholders.

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 Senior Solution Engineer will support CCAR and FRB regulatory reporting by ensuring accurate submissions, maintaining documentation, and collaborating with various teams to address data quality and compliance issues.

The Business Analyst is responsible for analyzing business processes, identifying requirements, and proposing solutions while ensuring project support and stakeholder communication.

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.