
Analyst
- Bangalore, Karnataka
- Permanent
- Full-time
- 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.
- Bachelor's 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
- 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.