Senior Analyst - Ingredients

Job Summary

We are hiring a (Senior) Data Specialist to support the build and evolution of Euromonitor's Ingredients solution. Reporting to the Project Manager, Ingredients, this role is best suited for candidates with a strong science background and a working knowledge of ingredients, their functional roles, and regulatory implications. This role plays a critical role in delivering high quality, globally consistent ingredient level data. From recipe formulation to Digital Share of Shelf (DSS) validation, this position is essential to ensuring data accuracy, regulatory alignment, and continuous improvement.

This role suits individuals with strong analytical skills, a keen eye for detail, and a collaborative mindset with the ability to work across functions and contribute to insights, innovation, and client success.

What You'll Do

• As a Data Specialist, your primary focus will be on supporting the development and validation of structured data assets, particularly around ingredient-level recipes across markets and categories.
• This includes interpreting product information, aligning it with internal frameworks, and ensuring outputs are logical and regionally appropriate.
• You'll also contribute to quality checks, help identify inconsistencies, and support documentation of key processes.
• In addition, you would assist in spotting emerging patterns in the data that can inform broader insights and conduct and support client facing discussions.
• The role requires close collaboration across teams and strong attention to detail to ensure accuracy, consistency, and relevance.
• You will be expected to manage feedback loops across these teams and act as a bridge between raw data and client ready intelligence.

What We're Looking For

Requirements

• Educational background in biotechnology, life sciences, food science, or a related field.
• Strong understanding of ingredients and their application in food, nutrition, or personal care products.
• Excellent analytical and numerical skills with experience working on structured datasets.
• Detail oriented and methodical in identifying data inconsistencies and ensuring quality.
• Proficiency in Excel (including formulas, pivot tables); strong documentation skills.
• Strong communication and collaboration skills across global teams.
• Comfort engaging directly with clients and supporting custom insights.

Preferred/Bonus Skills

• Familiarity with Power BI, Tableau, or similar tools for visualising data.
• Interest in AI, automation, and scaling quality assurance processes.
• Experience with Python, SQL, R, or VBA for data handling or automation.
• Exposure to web scraping, or taxonomy driven data models.

What Success Looks Like

• Consistently accurate and well documented process.
• Effective collaboration and well managed feedback loops with internal teams.
• Structured, timely resolution of data queries and validation issues.
• Clear process documentation that supports team scaling.
• Contributions to insight generation and a strong interface with clients.
• Active participation in driving automation and process evolution using AI.

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