CPW Data Steward I

General Mills

Mumbai

On-site

INR 600,000 - 1,200,000

Full time

2 days ago
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Job summary

General Mills in Mumbai is seeking an Associate Data Analyst to join the Data Engineering team. You will work on global product data mapping and harmonization, ensuring consistent classifications across markets to enable reliable analytics and reporting.

The role requires hands-on experience in data stewardship and quality checks, strong Excel skills, and the ability to interpret complex data. Collaboration with cross-functional teams is essential for success.

Qualifications

  • Bachelor's degree from a recognized university.
  • 2+ years hands-on experience in data stewardship/data quality.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent Excel skills and ability to handle large datasets.
  • Ability to interpret complex product data and make mapping decisions.
  • Ability to work independently, manage priorities and proactively identify issues.
  • Pragmatic, solution-driven mindset and team player attitude.
  • Learning agility to understand data from a business lens.

Responsibilities

  • Own and execute product mapping and harmonization across markets and data sources.
  • Standardize product names, attributes, hierarchies and classifications to global standards.
  • Analyze product information and determine global product classification.
  • Identify and resolve mapping inconsistencies, duplicates and missing attributes.
  • Maintain mapping rules and business logic to ensure consistency over time.
  • Collaborate with Data Engineering, analytics, vendors and market teams.

Skills

Data stewardship
Data quality
Analytical thinking
Excel
Interpret complex data
Independent work
Team player
Learning agility

Education

Bachelor's degree

Tools

SQL
Azure
Excel

Job description

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.

OVERVIEW

CPW is the joint venture of Nestle and General Mills. CPW, Data Engineering team at I&A works on harmonization of data across 60+ markets to produce one consolidated Global data warehouse hosted on MS Azure which is used for Global performance evaluation of our brands & track the competitive space, build Analytical solutions and share insights on Business Performances across the Globe.

We are looking for an Associate Data Analyst to join our data engineering team who will be involved in global product data mapping and harmonisation. Product data is the foundation for many of our global analytics and reporting capabilities. With products coming from different markets, sources and vendors, ensuring that products are consistently understood and classified is critical to creating one reliable, comparable view of the business. This role bridges the gap between raw product data and business-ready product intelligence.

KEY ACCOUNTABILITIES
Product Mapping & Harmonization
  • Own and execute product mapping and harmonization across multiple markets, categories, brands and data sources - Standardize product names, attributes, hierarchies and classifications according to global data standards.
  • Analyze product information from different sources and determine the appropriate global product classification.
  • Identify and resolve mapping inconsistencies, duplicates, missing attributes and data quality issues.
  • Ensure newly introduced products are accurately mapped and incorporated into the global product framework.
  • Contribution to scalable processes and continuous improvement of the global product data framework.
Data Quality & Stewardship
  • Act as a subject matter expert for product-level data.
  • Perform quality checks and investigate anomalies before data is released for downstream reporting and analytics.
  • Identify recurring data quality issues and work with Data Engineering, vendors and market teams to address root causes.
  • Maintain mapping rules, reference data and business logic to ensure consistency over time.
  • Monitor and improve mapping accuracy, completeness and coverage across markets.
Business & Category Understanding
  • Develop a strong understanding of our product categories, brands, pack formats, product types and relevant business terminology.
  • Apply business context / judgement for recommendations when product information is incomplete, ambiguous or inconsistent keeping stakeholders in the loop.
  • Understand how mapping decisions impact downstream analytics, reporting and business insights.
Stakeholder Collaboration
  • Work closely with Data Engineering, Analytics, local market teams, vendors and other data stakeholders for product classifications on ambiguous/complex cases.
  • Communicate mapping decisions, data issues and recommended resolutions clearly.
  • Support investigations into discrepancies between local and global product data.
MINIMUM QUALIFICATIONS
  • Must have Bachelor's degree from a recognized university
  • Minimum 2+ years of hands‑on experience in data stewardship/data quality
  • Excellent attention to detail with strong analytical and problem‑solving skills
  • Strong excel skills and experience working with large datasets
  • Ability to interpret complex data and product information and make sound mapping decisions
  • Ability to work independently, manage priorities and proactively identify issues
  • Pragmatic and solution driven mindset
  • Learning agility to understand data from business lens
  • Effective Team player
PREFERRED QUALIFICATIONS
  • Experience with FMCG/CPG, retail, consumer or product data
  • Basic knowledge of SQL
  • Exposure to Azure or other cloud platforms
ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.

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