CPW Data Steward I
Role 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.
Key Skills for This Role
Full Job Posting
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
- To succeed in this role, this individual must demonstrate the following:
- 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.
About General Mills
General Mills is a global food company with more than 100 brands sold in over 100 countries, including Cheerios, Nature Valley, Old El Paso, Annie’s and Blue Buffalo. Formally established in 1928 from milling businesses whose roots date to 1866, it produces cereals, snacks, meals, baking products and pet food.
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