Principal Analytics Consultant

Health Care Service Corporation•Chicago, IL

2d•$102,000 - $184,300•Hybrid

About The Position

This position serves as the enterprise subject matter expert for Power BI, AI-enabled analytics development, and Data Agent capabilities. The role is responsible for defining, implementing, and continuously improving the end-to-end dashboard and analytics solution development lifecycle, leveraging Generative AI, reusable assets, automation, and modern development practices to significantly improve analytics delivery productivity. The Principal Analytics Consultant will establish enterprise standards, processes, and governance for dashboard design, development, testing, deployment, and maintenance, with a focus on reducing development effort, accelerating time-to-insight, and improving solution quality and consistency. This role owns the lifecycle of the MEE Data Agent platform, including adoption, governance, enhancement, and enterprise scaling strategies. As a recognized thought leader, this individual partners with business, analytics, product, and technology teams to identify opportunities to embed Gen AI capabilities into analytics delivery workflows and establish a scalable operating model that enables self-service analytics and enterprise-wide productivity gains.

Requirements

Bachelor's degree and 8 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR Master’s degree with 6 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR PhD with 4 years of experience in health care services, statistical analysis, or insurance industry economics or related field OR 12 years of experience in health care services, statistical analysis, or insurance industry economics or related field
Understanding and high proficiency in querying a wide variety of internal and external data sources to get meaningful insights.
Strong analytical skills and proficiency in computer languages, such as SQL, Python, R, etc.
Ability to create a dynamic and visually engaging dashboard leveraging data visualization tools such as Tableau or Power BI.
High degree of business intelligence and understanding how to take a business case from inception to customer or partner execution.
Excellent communication and presentation skills.
Ability to work independently and as part of a team.
Analytics subject matter expert.

Nice To Haves

Recognized expertise in Microsoft Power BI and modern business intelligence practices.
Experience designing and implementing analytics operating models, governance frameworks, and development standards at enterprise scale.
Demonstrated success applying Generative AI, automation, and reusable development practices to improve analytics delivery productivity.
Experience leading analytics platform strategy, adoption, and organizational change initiatives.
Proven ability to define and execute a strategic vision for scaling analytics capabilities across large organizations.
Strong executive presence, communication, and stakeholder management skills.
Healthcare payer, medical economics, or healthcare analytics experience preferred.

Responsibilities

Define, implement, and continuously improve the end-to-end dashboard and analytics solution development lifecycle.
Leverage Generative AI, reusable assets, automation, and modern development practices to improve analytics delivery productivity.
Establish enterprise standards, processes, and governance for dashboard design, development, testing, deployment, and maintenance.
Reduce development effort, accelerate time-to-insight, and improve solution quality and consistency.
Own the lifecycle of the MEE Data Agent platform, including adoption, governance, enhancement, and enterprise scaling strategies.
Partner with business, analytics, product, and technology teams to identify opportunities to embed Gen AI capabilities into analytics delivery workflows.
Establish a scalable operating model that enables self-service analytics and enterprise-wide productivity gains.
Lead multiple analytic related projects in parallel.
Champion initiatives and collaborate with multiple stakeholders to bring initiatives to life.
Work under pressure and deliver high-quality output to senior leadership for decision-making within short timelines.