Data Analyst H&B#

Willis Towers Watson; Ciudad de México; Presencial; MXN 600.000 - 900.000; Jornada completa

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Descripción de la vacante

Willis Towers Watson is seeking a Senior Analyst – Data Science to drive Descriptive Analytics for the Health & Benefits Global Data Center of Excellence. You will design, strategize, and automate analytics solutions that empower global teams to deliver rapid, insight-driven client reporting.

You will lead modeling, data prep, and automation with Python, SQL, and PowerBI, creating interactive reports and clear data storytelling for decision makers at all levels.

Formación

• Bachelor’s degree in Statistics, Data Science, Actuarial Science, Economics or Engineering.
• Mathematics, Finance, or related field is acceptable.
• Minimum 3 years of experience in analytics or data science roles.
• Professional-level English communication (written and verbal).
• Advanced proficiency in Python, SQL, PowerBI, Excel, Word, and PowerPoint.

Responsabilidades

• Execute the strategy, operating model, and execution framework for Descriptive Analytics within the COE.
• Serve as global SME for methodology standards, QA, and scalability plans.
• Represent the COE in global forums to communicate progress toward AI-powered brokerage vision.
• Develop and deploy advanced analytics and data science solutions using descriptive, predictive, and prescriptive models.
• Lead statistical modeling, data prep, and automation using Python, SQL, and PowerBI.

Conocimientos

English proficiency

Python

SQL

Data storytelling

Educación

Bachelor’s degree in Statistics

Bachelor’s degree in Data Science

Bachelor’s degree in Economics

Herramientas

PowerBI

Microsoft Excel

Word

PowerPoint

Descripción del empleo

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, PowerBI,
  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 3years 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 PowerBI
  o MicrosoftExcel, Word, PowerPoint

Inclusive job opportunity