Top Remote Analysis Reporting Jobs in Wichita, KS

The VP of Actuarial oversees a team responsible for actuarial analyses, risk prediction, client presentations, and innovation in actuarial services.

Manage and maintain Laboratory Information Management Systems (LIMS) including database applications, user training, and instrument reporting processes.

As a Data Analyst, you will lead analytics projects, derive actionable insights from data, and collaborate with teams to improve member experiences.

The Business Analyst supports Treasury and Funding Operations, manages funding activities, drives process improvement, and generates reports.

The Actuarial Sr. Consultant will drive pricing strategy and profitability in property and casualty, conduct complex analyses, and collaborate with cross-functional teams to influence business decisions.

As a key contributor to the pricing strategy in Commercial Auto, the Sr. Consultant conducts actuarial analyses, develops pricing methodologies, analyzes data, and collaborates with business partners for recommendations and strategies.

The role involves data collection, validation, and modeling for catastrophe risk management, requiring SQL, Python, and analytical techniques to support financial decision-making at Nationwide.

The Sr. Data Scientist analyzes complex datasets, builds predictive models, creates data pipelines, and collaborates across teams to support strategic decision-making.

The Data Architect will design data architecture, establish standards, optimize performance, and collaborate with engineering teams to enable AI/ML and analytics at scale across various platforms.

The Specialty Actuary will perform advanced pricing analyses, develop actuarial models, support pricing strategies, and collaborate cross-functionally with teams to optimize insurance product offerings.

Lead AI and data initiatives to enhance marketing capabilities and drive growth. Collaborate across teams to optimize data usage for better performance and decision-making.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.