Analytical Mindset: Strong attention to detail, shopper-centric thinking.
Communication: Excellent presentation and stakeholder engagement.
Collaboration: Cross-functional teamwork across sales, supply, marketing.
Minimum Requirements:
Bachelor's Degree in Marketing, Business, Economics, Statistics, Data Analytics or related field.
Minimum 2 to 5 years of experience in retail analytics, FMCG/CPG category management, pricing analytics, or a similar role.
Experience with retailer channels (DIY, home improvement, e-comm) and syndicated data preferred.
Familiarity with pricing analysis or promotional effectiveness recommended.
Advanced Excel: PivotTables, VLOOKUP/INDEX-MATCH, Power Query/Pivot/Query.
Data Visualization: Power BI / Tableau.
Retail Tools: SAP (or equivalent) data extraction.
Duties: Retail & Category Analysis:
Analyse POS, internal sales to identify performance trends, growth segments, and opportunities.
Benchmark the company against competitors in coatings and small-project paint markets.
Assortment & Planogram Optimisation:
Lead range reviews and assortment gap analyses with major retailers.
Generate planograms, maintaining product libraries and assets.
Present shelf strategies and execution plans to retailers using data-driven approaches.
Pricing & Profitability:
Implement Pricing Analytics to integrate pricing and promo data in category strategies.
Shopper & Promo Insights:
Perform basket-level and promotional lift analysis to assess campaign success.
Translate shopper behaviour data into actionable insights.
Cross-Functional Collaboration:
Partner with Sales, Marketing, Supply Chain, and e-Comm teams to align strategies and execution.
Provide category insights in retailer business reviews and Joint Business Plans.
Reporting & Dashboard Management:
Build and maintain dashboards (Power BI, Tableau, Excel PivotTables, Power Query) to track key metrics like sales, market share, assortment width, and promo performance.
Deliver monthly and adhoc analytical reporting.
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