Data Specialist - Ingredients

Who we are 

Euromonitor International is the leading independent market research company; investigating and understanding what consumers want and need, helping businesses create products and services that cater to their preferences and trends. We are an organisation that champions flexibility, with opportunity to grow and be supported with continuous learning and development. 

What you will be doing

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.

Key drivers -

Recipe Creation & Validation: As a Data Specialist, your core responsibility will be to build and validate ingredient level recipes across countries and categories. Recipes are constructed based on a combination of scraped product data, regulatory knowledge, and taxonomy alignment. Understanding how to interpret and leverage scraped ingredient data effectively is key to success in this role. You will ensure the outputs are accurate, logically structured, and regionally appropriate factoring in differences in local regulations and formulations.

DSS QA: You will also play a significant role in Digital Share of Shelf (DSS) quality checks—reviewing the coverage and reliability of scraped data, spotting anomalies, and ensuring the taxonomy is well structured. Close collaboration with DSS, taxonomy, and regional teams is essential, creating structured feedback loops that continuously enhance our datasets.

Global Data Validation: Global data validation will be a major focus. You’ll run consistency checks across countries and subcategories, identify and fix issues, and ensure comparability in our outputs. This includes managing incoming data queries, owning the feedback process, and ensuring timely resolution by liaising with researchers, the PM, and other stakeholders.

Process documentation: Working with the Project Manager, you will contribute to the documentation of data workflows, rules, and checks, ensuring repeatability and scalability. A continuous improvement mindset is key, and over time, you’ll help propose and implement solutions that use AI or automation to improve QA, speed, and data consistency.

Insight support: You will also support the development of insights by identifying emerging ingredient patterns or data trends, and be comfortable interacting with clients whether it’s responding to queries, supporting custom requests, or contributing to workshops and presentations.

Collaboration & Stakeholder Engagement

This is a highly collaborative role, requiring ongoing coordination with:

1. The Project Manager for planning, prioritisation, and delivery

2. Foundation team for structure, quality, and integration of DSS

3. In country researchers for data accuracy and local nuance, as needed

4. Cross functional teams for feedback and automation opportunities

5. Global Industry Manager to support insight generation and respond to client needs

You will be expected to manage feedback loops across these teams and act as a bridge between raw data and client ready intelligence

What you’ll need-

Required Skills & Experience

· 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

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What you’ll get -

Professional Development: Grow your career with opportunities within a consultative and professional environment 

Flexible Work Schedule: Achieve a healthy work-life balance with our flexible work schedule options, including remote work opportunities and flexible hours 

Positive Work Environment: Join a collaborative and inclusive workplace culture where your ideas are valued, diversity is celebrated, and teamwork is encouraged 

Community Involvement: Make a positive impact in the community through our volunteer programs, charitable initiatives, and corporate social responsibility efforts 

(and more….!) 

Our Values 

We act with integrity 

We are curious about the world 

We are stronger together 

We seek to empower 

We find strength in diversity