Top Remote Analysis Reporting Jobs in Chicago, IL
The Growth Strategy & Analytics Analyst will oversee financial modeling and valuation initiatives for Privia Medical Group clients. Responsibilities include preparing ROI models, collaborating on data collection, performing financial analyses, and fostering cross-functional relationships to drive business growth.
The Actuarial Analyst 2 analyzes and forecasts financial and economic data to assist in strategic decision making. Responsibilities include optimizing financial models, evaluating program performance, collaborating on model results, and ensuring data integrity through effective processes and controls.
The Actuarial Analyst 2 analyzes and forecasts financial and economic data to support strategic decisions. Responsibilities include ensuring data integrity, collaborating on business intelligence, conducting member retention studies, and presenting results to stakeholders.
The Actuarial Analyst 2, Pricing is responsible for pricing and forecasting assumptions, developing pricing tools, and providing analysis and insights to enhance market profitability. Key duties include modifying models, collaborating with business partners, and analyzing supplemental benefits to meet organizational goals.
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The Lead, Advanced Analytics role involves conducting advanced data analysis to extract actionable insights for strategic decision-making across various markets. This includes broad data collection and econometric analysis to identify root causes affecting key business metrics, and collaborating with cross-functional teams to ensure alignment and support market strategies.
The Senior Analyst in Advanced Analytics will focus on generating insights related to supply metrics through advanced causal modeling. Responsibilities include conducting data analysis, monitoring supply performance metrics, collaborating with cross-functional teams, and contributing to best practices in analytics across the organization.
The Lead Business Planning Analyst is responsible for dataset development, modeling, reporting, and analysis to support Retail Markets. They will collaborate with Finance and Retail teams, challenge processes for profitability, and conduct analyses to inform business strategies and financial forecasts.
As a Quantitative Researcher at Monad Labs, you will develop predictive models addressing blockchain performance and user/system behaviors. You will tackle challenging problems through creative solution development and prototype various approaches, ultimately delivering production-grade solutions and managing prediction pipelines.
The Reinsurance Analyst will support the reinsurance placement process through data analysis, research, and documentation. Responsibilities include learning reinsurance agreements, assisting with client services, and developing accounting and claims administration skills. The role involves collaboration with various teams and stakeholders, ensuring compliance with best practices, and participating in a comprehensive training program to gain industry knowledge.
The Research Associate will support the Military Workplace Climate Research team by designing and executing large-scale surveys on workplace climate issues in the military, managing client relationships, and analyzing data to identify patterns and solutions. Responsibilities include preparing reports, managing concurrent projects, and collaborating with internal teams.
The Senior Research Scientist will oversee and conduct systematic literature reviews and quantitative evidence synthesis studies, develop client-ready deliverables, manage project components, ensure timely delivery, and mentor junior staff while contributing to proposals and presentations.
The Senior Analyst will lead efforts in managed care for Medicaid and Medicare programs, analyze relevant legislation and policies, conduct qualitative and quantitative research, and manage projects from conception to delivery. The role involves developing strategic recommendations for clients and presenting findings effectively.
The Quantitative Scientist will be responsible for data cleaning, modeling, inference, and interpretation. They will leverage expertise in biostatistics, epidemiology, and data science to support commercial projects and internal research, working closely with clinical data from electronic health records to solve complex real-world problems.
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