Health Analytics Product Analyst

Health Analytics Product Analyst

We are seeking an innovative analytics solution development and delivery analyst to join our dynamic team, delivering client value through cutting-edge analytics solutions, including AI-enabled capabilities and scalable analytics platforms. As part of an industry-leading team, you will help empower results for our clients by delivering innovative and effective solutions developing and commercializing health analytics capabilities s role will contribute to solution development and commercialization initiations supporting new and existing analytics solutions and serve as the analytics subject matter expert for practice-wide initiatives, client and prospect conversations.

The ideal candidate will possess strong organizational skills, the ability to collaborate and communicate clearly and effectively with cross-functional teams and deliver market-leading solutions to Aon clients. This role is in our Atlanta or Chicago office. While there is a preference for someone in the above listed locations, we are willing to consider a candidate based out of a different Aon office.

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

What the day will look like:

• Lead analyst for advanced analytics client projects, pilot projects, and initiatives.
• Ensure high-quality and timely delivery that exceeds client expectations.
• Serve as an advanced analytics resource in the development of solutions using advanced analytics and machine learning.
• Participate in and put together proposals for new business discussions with prospective clients.
• Showcase and present on analytics capabilities and market trends at both internal and external events.
• Support the commercialization and development of analytics capabilities, maintaining or leading the development and implementation of new products and solutions.
• Lead go to market activities including development of consulting materials, sales materials, leading national trainings, training and organizing sales resources.
• Build out and improve processes for client analytics delivery and onboarding, including identifying opportunities for automation, developing management reporting, and client reporting improvements.
• Stakeholder alignment:
  Collaborate with stakeholders, including clients, internal teams, legal, marketing and industry experts, to gather requirements for new analytics solutions.
• Operations management:
  Lead client delivery operations, including optimizing workflows and automating tracking of team processes.
• Prioritization:
  Prioritize initiatives based on their value, feasibility, and alignment with strategic objectives.
• Innovation:
  Stay current on emerging trends and industry developments, propose new capabilities or suggestions to revamp existing capabilities to meet emerging client needs.
• Cross-functional collaboration:
  
  Work closely with cross-functional teams, including data scientists, analytics engineers, actuaries, and consultants, to develop and maintain analytics solutions.
• Iterative Development:
  Support the iterative development process, including sprint planning, backlog grooming, and sprint reviews.
• Quality Assurance:
  Ensure the quality and reliability of new analytics solutions by defining acceptance criteria, conducting user acceptance testing, and monitoring performance metrics.

Skills and experience that will lead to success:

• 1+ years of client-facing or related experience in health or benefits, health actuarial and analytics work
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
• Experience with national initiatives, products, model and tool development is strongly preferred.
• Experience with identifying, evaluating, and advancing AI-enabled analytics use cases, with a practical understanding of how emerging technologies can improve client delivery, solution scalability, and market differentiation.
• Demonstrated ability to think strategically, solve complex problems, and drive results in a fast-paced environment.
• Experience with reinsurance and reinsurance modeling, including stop loss, captives, and related arrangements
• Understanding of predictive modeling and insurance applications
• Strong technical background in actuarial modeling and statistical methods including familiarity with emerging technologies, data science and machine learning techniques
• Understanding of market trends, client needs, and emerging vendors
• Proven ability to mentor junior colleagues
• Experience with SQL a plus
• Experience with Python a plus
• Understanding of Agile project management a plus
• Structured Query Language (SQL), Advanced Analytics, Data Analysis, Data Integration, Data Management, Data Mining, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Predictive Modeling, Python (Programming Language), R…