Education:
Master’s degree in Statistics, Applied Mathematics, Data Science, or related fields
Work Experience:
Minimum 2 years in a similar role, preferably in a multinational or digital-first environment
Experience with business intelligence tools (e.g., Power BI) and statistical software (e.g., R, Python)
Skills & Certifications:
Strong expertise in SQL and database optimization
Solid foundation in KPI design and business performance indicators
Experience with data storytelling and communicating technical findings to non-technical audiences
Familiarity with hybrid data architectures (on-prem/cloud) is a plus
Languages:
For global, regional, or area roles, fluency in English is required. Additional languages such as French, Spanish, Portuguese, or other relevant languages are an advantage.
For local country leadership and management roles, fluency in the local language and English is required.
For local individual contributor roles, fluency in the local language is required. English is considered an advantage as it supports communication, learning, and collaboration in a multinational context.
Working Conditions:
For global, regional, or area roles:
Hybrid working patterns depending on the host country policies. Collaboration across different countries, functions, and time zones. Travel may be required depending on business needs.
For local roles:
Hybrid working environment depending on local policies. Collaboration with local business teams and relevant regional or global stakeholders. Occasional travel may be required depending on business needs.
Competencies:
Data Analysis
Statistical Modeling
SQL & Database Management
Data Visualization
Business Acumen