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Data Analyst H&B#

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Onsite

Data Analyst H&B#

WTW External Careers Site

Data Analyst H&B#

Skills

SQL QueriesPythonData ScienceTesting & QAData AnalysisAIPower BI

19 days ago

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Important information


Contract type:

Permanent

Location:

Mexico City, CDMX, Mexico

Work mode:

Onsite

Published on:

6 October 2026

What they need


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.

  • 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:
    o Python
    o SQLUpdated: November 2025
    o Power BI
    o Microsoft Excel, Word, PowerPoint

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