Temporary Data Analyst – Circana Custom Model Attribution Coding

Stellenbeschreibung:

Support the Consumer Insights and Category Management teams in developing and maintaining Circana Custom Models
Review and code individual Circana product and business lines into the appropriate category, subcategory, segment, and attribution hierarchy
Apply established business definitions, coding rules, and classification logic consistently across large volumes of data
Research products, brands, and business information to determine appropriate classifications
Identify and flag ambiguous or unclear items for internal review
Incorporate category, brand, and portfolio context into coding decisions
Conduct quality checks for missing, inconsistent, duplicate, or incorrectly coded records
Review completed coding for consistency across brands, products, categories, and attribution structures
Document questions, assumptions, decisions, and items requiring additional guidance
Incorporate feedback and updates to coding methodology throughout the project
Manage weekly project priorities and maintain progress toward completion

Requirements

1+ years of experience working with data, analytics, data entry, category management, consumer insights, or a related field preferred
Demonstrated ability to work accurately with large volumes of data and repetitive line-level tasks
Proficiency in Microsoft Excel, including the ability to sort, filter, organize, and manipulate large datasets
Exceptional attention to detail and ability to identify inconsistencies or anomalies
Ability to understand and consistently apply business rules, classification logic, and established guidelines
Strong written and verbal communication skills
Ability to document questions, assumptions, and decisions clearly
Comfortable working with ambiguity and escalating items that require additional business judgment
Experience with Circana/IRI, NielsenIQ, Numerator, or other CPG syndicated data nice to have
Experience within CPG, particularly in Category Management, Sales, Analytics, or Consumer Insights nice to have
Familiarity with product hierarchies, category taxonomies, brand portfolios, or syndicated market data nice to have
Experience building or maintaining custom datasets, hierarchies, taxonomies, or classification systems nice to have
Experience with data quality or data governance processes nice to have
Exposure to Power BI, SQL, or other analytical tools nice to have
Bachelor's degree in Business, Analytics, Marketing, Economics, or a related field nice to have

Core Competencies

Proficient in data management and analysis, with a strong focus on applying classification logic and business rules to large datasets. Demonstrates exceptional attention to detail and effective communication skills to document processes and elevate issues as needed.