Data Analyst H&B#

Description 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. 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.

The Role

• 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.
• Represent the COE in global leadership forums to communicate progress toward WTW’s vision of becoming an AI-powered broker.
• 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.

Qualifications

• Bachelor’s degree in Statistics, Data Science, Actuarial Science, Economics, Engineering
• Mathematics, Finance, or a related field.
• Minimum 3 years of experience in a similar analytics or data science role.
• Professional-level English communication skills (written and verbal)
• Advanced proficiency in:
• Python
• SQLUpdated: November 2025
• Power BI
• Microsoft Excel, Word, PowerPoint

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