Analyst

3 days ago


Bengaluru, Karnataka, India Euromonitor Full time ₹ 4,00,000 - ₹ 8,00,000 per year

Role Overview

We are hiring an Analyst/ Senior Analyst to support the building and evolution of Euromonitor's Product Claims solution. Reporting to the Senior Product Manager, New Product Development, this role is ideal for candidates with strong analytical skills, attention to detail, and an interest in understanding how brands position themselves and appeal to consumers across a diverse range of claims spanning topics such as health and wellness, sustainability, functional benefits, and need states.

The role suits individuals with a structured approach to research, strong numerical skills, and the ability to work collaboratively across teams, even without deep prior expertise in product claims. A curiosity to learn and the confidence to work with large datasets are essential.

Requirements

As a Claims Analyst/ Senior Analyst, your primary focus will be on researching, validating, and enhancing structured data assets related to product claims across markets and categories. You will interpret product information, align it with internal classification frameworks, and ensure outputs are accurate, regionally relevant, and logically consistent. You will also contribute to quality assurance, identify emerging trends in claims, and maintain clear, reusable documentation of findings to support your own work and other teams including Data Science, Insights, Foundational Data and Project Delivery.

Specifically, you will:

  • Build and maintain knowledge of product claims and certifications (e.g., "Organic", "Vegan", "For Sensitive Skin", "Probiotic") to support the continuous improvement of our existing 1000+ attribute list.

  • Research individual key claims (e.g., Organic, Vegan, etc.) and drive a systemised approach to collecting, documenting, and storing findings for each, ensuring insights are easily accessible across teams and projects.

  • Identify mismatches between claims and product categories (e.g., "Vegan" in processed red meat or "Grass Fed" in shelf-stable fruit) to uphold data accuracy and consistency.

  • Evaluate retailer coverage to ensure SKUs from the most relevant retailers per industry and country are well represented in claims datasets.

  • Conduct scheduled quality control checks to identify anomalies such as year-on-year growth inconsistencies, per capita discrepancies, or incorrect brand–category matches.

  • Liaise with the Data Quality team to ensure claim-related matching errors are corrected in the source dataset by the Data Science team.

  • Support the creation and improvement of data-checking and visualisation tools using Excel, Power BI, Tableau, or similar platforms.

  • Contribute to syndicated and custom Sustainability and/or Health & Wellness projects through research, analysis, and client deliverables.

  • Explore and evaluate new data sources, methods, and classification frameworks to strengthen product claims coverage and quality.

  • Respond to client queries, providing clear, accurate, and well-supported explanations of claims data and methodology.

Candidate Profile

Required Skills & Experience

  • Minimum 1 year of relevant experience with Market Research.

  • Degree in a relevant field (e.g., data analytics, market research, social science/economics, etc).

  • Excellent analytical and numerical skills with experience working on structured datasets.

  • Proficiency in Excel (including formulas, pivot tables); strong documentation skills.

  • Strong attention to detail and methodical approach to identifying and resolving data inconsistencies.

  • 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 data visualisation.

  • Interest in AI, automation, and scaling quality assurance processes

  • Experience with SQL, Python, R, or VBA for data handling or automation.

  • Exposure to taxonomy-driven data models or attribute-based classification.

NOTE - Fresher candidates will not be considered

LI-HYBRID #LI-RB1
Benefits

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



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