Data Analyst H&B

Role Overview

The Senior Analyst – Data Science serves as the global demand for the Descriptive Analytics workstream within the Health & Benefits (H&B) Global Data Center of Excellence (COE). This role drives innovation through the design, strategy, and automation of data science and advanced analytics solutions that enable global H&B teams to deliver rapid, insight-driven client reporting.

What You Will Do

Execute the strategy, operating model, and execution framework for the Descriptive Analytics workstream as defined by the COE leadership. Develop and deploy advanced analytics and data science solutions leveraging descriptive, predictive, and prescriptive models.

Why It Might Be a Fit

The role requires a global SME to aid in the definition of methodology standards, quality assurance, and scalability plans for future team expansion. The specialist will act as the intellectual capital catalyst connecting local teams, enhancing global efficiency, and supporting strategic client engagements related to retention and acquisition.

Requirements

• Execute the strategy, operating model, and execution framework for the Descriptive Analytics workstream as defined by the COE leadership.
• Serve as global SME—aid in the definition of methodology standards, quality assurance, and scalability plans for future team expansion.
• Develop and deploy advanced analytics and data science solutions leveraging descriptive, predictive, and prescriptive models.
• Lead statistical modeling, data preparation, and automation using Python, SQL, Power BI, and related tools.
• Create visual, interactive reporting products with clear data storytelling that supports decision intelligence at all levels.
• Interface regularly with local H&B teams including executive sponsors and local analysts.
• Partner with predictive/prescriptive analytics leads to align methodologies and integrate outputs.
• Collaborate with technical data teams to refine and enhance processed data assets.
• Present analytic work effectively to senior leadership and occasionally to clients alongside consultants.

Tagged as: Data Analysis