Do you want to join Philip Morris? We’re looking for a CI Coordinator (Junior CI Coordinator / Data Coordinator). Duration: open-ended contract through Manpower.
About the Role
This role sits within the CI (Competitive Intelligence) team of the 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 that are 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.
* You can switch between a spreadsheet and a shipping timeline without losing focus.
* You communicate clearly and flag blockers early.
Don’t hesitate to apply.
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