analyst - consumer insights

The Insights & Analytics Analyst supports various customer models by tailoring insights and reporting to customer needs, whether high-touch customization, agile adaptability, or standardized execution. By integrating expertise in Circana/IRI, Nielsen and other data sets, data analysis and visualization tools, the Insights & Analytics Analyst plays a pivotal role in aligning analytical excellence with customer objectives.
Essential Functions & Responsibilities
 Collect and analyze category performance data, including sales trends, category health, and SKU performance, to generate insights that inform strategic decisions.
 Format national and customer data from datasets (e.g., Circana/IRI, Nielsen, Numerator, etc.) for analysis, creating clear and actionable visualizations using tools like Spotlight, PowerBI, or Tableau
 Populate customized and standardized category review decks for internal and external audiences, ensuring alignment with strategic goals
 Generate weekly/monthly assortment and customer performance reports, providing timely updates to internal stakeholders.
 Perform quarterly checks on category health, including tracking key metrics such as category share, space-to-sales (SoS) analysis, and SKU optimization
 Create ranking reports and assortment analyses for category reviews, leveraging standardized templates to ensure consistency and scalability across accounts.
 Respond to ad-hoc requests for quick insights and data summaries, supporting internal teams with actionable recommendations.
 Partner and work with internal POG analyst and work on end-to-end project deliverables.
 Partner with internal GBS resources and category leadership teams to align insights and analysis with broader business objectives.
Expected Experience & Required Skills
 Experience in working as Category insights analyst.
 Proficiency in analysis of consumption data (Circana/IRI, Nielsen, etc.) with a demonstrated ability to generate actionable insights or similar FMCG market analysis tools.
 Strong technical proficiency with data analysis tools such as Power BI, Spotlight, and category management software
 Proven attention to detail and accuracy in creating reports and visualizations for category performance
 Ability to work collaboratively independently and also with internal teams to deliver effective solutions
 Knowledge of retailer-specific data (e.g., Luminate, 84.51) and requirements for data formatting
 Power BI, Tableau, or similar data visualization software.
 Advanced Excel (pivot tables, macros, etc.) and SQL.
 R, Python, or other statistical analysis software (optional but beneficial). Preferred Skills
 Experience in consumer-packaged goods or related industries preferably in the US Market
 Familiarity with shared service models and integration into data analysis processes
 Strong analytical and problem-solving skills, with a focus on interpreting and presenting data clearly
 Proficiency in Microsoft Office products, including Excel and PowerPoint, for reporting and analysis
 Excellent written and verbal communication skills, with the ability to create clear and impactful narratives tailored to diverse audiences

experience

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