Top Remote Data & Analytics Jobs in Chicago, IL

The Senior Catastrophe Analyst will develop automated processes, databases, pricing tools, and provide analytics to improve portfolio profitability while mentoring junior team members.

The role involves delivering customer service for Planning and Performance solutions, supporting tool adoption, and mentoring junior members. Responsibilities include project management, financial analysis, and optimizing customer experiences.

The role involves guiding Medicaid data warehouse implementations, analyzing healthcare data, and supporting stakeholder data needs with a focus on enhancement and compliance with CMS reporting standards.

This role involves collaborating to improve game metrics, analyzing player behavior, designing ETL pipelines, and ensuring data integrity to enhance user experience.

The Senior Pricing Analyst collaborates with business development to refine pricing strategies, analyze data for cost decisions, and ensure timely delivery of RFPs.

As a Senior Data Analyst, you will work with business partners to enhance data-driven decision-making on payments, develop dashboards, and analyze strategic opportunities while effectively communicating insights across teams.

As the Deal Desk Lead, you'll manage deal execution, optimize sales workflows, and collaborate across Finance, Sales, and Legal to enhance operational efficiency and scalability.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

As a Staff Data Analyst, you'll lead credit analytics initiatives, mentor juniors, collaborate with cross-functional teams, and enhance Upstart's lending strategies using data-driven insights.

As a Sr. Consumer Insights Analyst, you will analyze consumer research, provide actionable insights, track consumer behavior, and advocate for customer needs within the organization.

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

The role involves assessing fraud program effectiveness, compliance with regulations, and providing strategic insights for risk management within the financial services industry.