Junior CI Coordinator (Competitive Intelligence) / Data Coordinator

Do you want to join Philip Morris? We're looking for a CI Coordinator
 
Duration : open-ended contract through Manpower

 

About the Role
This role sits within the CI (Competitive Intelligence) team of Product Development department at Philip Morris International. You will act as an operational anchor for the team: owning sample and product logistics while also taking direct ownership of data structuring and preparation work for downstream analysis.
This is a hands-on, dual-track position: approximately 40-50% physical and operational coordination, and 50-60% data-focused work.

Key Responsibilities
Sample & Product Coordination
Collect, receive, and organize product samples from markets globally
Coordinate sample delivery to laboratories and track analysis timelines
Maintain physical and digital sample storage systems - organized, traceable, and up to date

Data Organization & Data Analytics
Normalize, clean, and structure CI datasets from multiple source types (spreadsheets, PDFs, web extracts, lab outputs)
Convert unstructured or semi-structured data into machine-readable formats (CSV, JSON, JSONL)
Apply consistent product taxonomies and attribute tagging to the data
Support Power BI dashboard data preparation - ensure clean, correctly formatted inputs
Document data transformation logic and maintain version-controlled data files

Required Skills

Must Have
Technical
Proficiency in Excel
Familiarity with at least one BI tool
Working knowledge of structured data formats
Basic data cleaning and normalization skills
Comfort using Python or SQL at a basic, operational level (e.g., simple scripts or queries to streamline repetitive data-handling tasks)
Operational & Soft Skills
Great organizational skills
Strong attention to detail and documentation discipline
Ability to work independently with minimal supervision
Clear and proactive communication with labs, market teams, and other stakeholders
Fast thinker

Nice to Have
Exposure to data annotation, labeling, or taxonomy management, especially for product attributes, product databases, or structured sensory/analytical data
Experience preparing data in JSON, JSONL, CSV or other structured formats commonly used for ML or internal automation workflows
Familiarity with cloud-based data platforms
Understanding of competitive intelligence workflows, ideally within FMCG
Basic scripting experience (Python preferred) for recurring data-cleaning tasks, file parsing, or simple automations
Formal education or coursework in Business Analytics, Information Management, Data Science, Computer Science, or similar fields

 

You are a great fit if...
You have a data or analytics background and don't mind getting hands-on with physical coordination
You are naturally organized and get satisfaction from bringing structure to messy information
You are proactive, curious, and solution-oriented - always looking for ways to improve processes, simplify recurring tasks, and ensure higher data accuracy
Can switch between a spreadsheet and a shipping timeline without losing focus
* Communicate clearly and flag blockers early

Don't hesitate to apply.