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Data Analyst - Commercial

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Onsite

Data Analyst - Commercial

IHG

Data Analyst - Commercial

Skills

SQL QueriesTableauPythonData AnalysisProcess Improvement

1 month ago

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Important information


Contract type:

Permanent

Location:

Mexico

Work mode:

Onsite

Published on:

15 September 2026

What they need


Key Accountabilities:

  • Collect, interpret, and analyze complex datasets to uncover trends, risks, and opportunities that inform strategic decisions
  • Support the development of dashboards, reports and visualizations using tools like PowerPoint and Tableau
  • Ensure the accuracy, integrity and consistency of the data used for analysis
  • Other job duties as assigned based on focus of the role

Key Shared Accountabilities:

  • Ensure access to clean, reliable data for analysis, provide feedback on data quality and improvement/solution recommendations as needed.
  • Understand business needs and tailor analysis to support decisions.
  • Align on priorities, methodologies, and deliverables with broader analytics team.

Key interfaces:

  • GIAD Data Integration & BI Teams
  • GIAD Business Analytics Teams
  • Business Stakeholders (Manager Level)
    External Key Relationships

Required Education, Experience, Technical Skills and Knowledge

Education: 
Bachelor’s degree in Statistics, Economics, Mathematics, preferred or an equivalent combination of education and work-related experience.
Experience: 
2–5 years experience in a relevant role or field
Technical Skills and Knowledge

  • Advanced Excel proficiency
  • SQL (non negotiable)
  • Python (nice to have)

Key Metrics

  • Accuracy and completeness of datasets used in analysis
  • Timeliness of ad hoc reporting and insights delivery
  • Quality and clarity of analysis presented to stakeholders
  • Contribution to analytics projects and deliverables
  • Reduction in manual reporting through automation or process improvement

Decision Rights:

Owns:

  • Analytics dataset creation
  • Ad hoc analysis on large datasets
  • Ad hoc report production
  • Process documentation

Influences:

  • Analytics projects & deliverables
  • Business decisions and strategies
  • Report design & production
  • Data & toolset requirements

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