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WTW

Data Analyst H&B#

WTW Mexico City, Mexico

Financial Services · 10,001+ employees

4 h ago
data-analyst Mid (2-5 yrs) Full-time Mexico
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About the role

The Senior Analyst will lead the design, strategy, and automation of advanced analytics solutions to support global Health & Benefits client reporting. They will act as a global subject matter expert, collaborating with local teams and leadership to drive data-informed decision-making.

What they look for

Python SQL Power BI Data Science Descriptive Analytics Statistical Modeling Data Preparation Automation Data Storytelling Decision Intelligence Microsoft Excel Microsoft Word Microsoft PowerPoint Predictive Analytics Prescriptive Analytics

Requirements

Candidates must hold a bachelor's degree in a quantitative field such as Statistics, Data Science, or Engineering. A minimum of 3 years of experience in analytics or data science is required, along with advanced proficiency in Python, SQL, and Power BI.

Full 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.

Responsibilities

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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:

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

Inclusive job opportunity

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