
Senior Analyst, Category Analytics
Remote · USJobSeen 5 days agoSeen in employer's feed 5 days ago
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Job overview
The Senior Analyst, Category Analytics translates consumer, shopper, category, and retailer insights into growth strategies and customer-specific recommendations. The role develops category analytics deliverables, analyzes customer performance across multiple data sources, and presents recommendations to support category and brand growth. It partners with Sales, Marketing, and other teams, and influences retailer strategies related to distribution, promotion, pricing, and shelf placement.
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Full job description
Senior Analyst, Category Analytics Location: Working Remote USA In this role you will: - Translate consumer, shopper, category, and retailer insights into actionable growth strategies, category stories, and customer-specific recommendations. - Lead development of category analytics deliverables that support Sales, Category Leadership, and cross-functional business partners. - Identify customer, channel, and category opportunities that inform joint business planning, strategic account planning, and retailer-specific growth initiatives. - Analyze customer business performance using syndicated data, retailer data, customer proprietary data, shopper card data, POS data, and internal financial data. - Develop and present category reviews, business reviews, and insights-based recommendations that help grow total category sales and support brand growth. - Influence retailer category strategies through account-specific insights, business analysis, and clear recommendations related to distribution, promotion, pricing, and shelf placement. - Simplify analytics and business intelligence processes to improve decision-making, increase team effectiveness, and support scalable ways of working. - Partner with Sales, Marketing, Insights, Intelligence, Category Strategy, and other functional teams to identify business opportunities and translate insights into execution. - Lead or support development of customizable category leadership plans, national category growth stories, retailer-specific action plans, and category roadmaps. - Use multiple data sources and analytical tools to identify business risks, competitive threats, growth opportunities, and recommendations that support issue resolution and proactive improvement. - Prepare clear and concise analyses and presentations that communicate business trends, consumer trends, existing opportunities, and recommended solutions for growth. - Continuously build capability in syndicated data, account-specific data, internal financial data, advanced analytics, visualization, statistical analysis, and presentation skills. - Participate in market visits, retail audits, account calls, business planning sessions, shopper insight activities, and information and technology training as needed. - Actively invest in personal growth and professional development to prepare for future roles within the organization. What we are looking for: Minimum Requirements: - Bachelor's degree - 2+ years of experience in analytical sales, commercial analytics, category management, or a related field - Strong experience with syndicated sales data software such as IRI or Nielsen - Demonstrated ability to gather, analyze, and present detailed business information to audiences with varying levels of experience - Technical capability across commercial analytics, including advanced Excel, data visualization, and exposure to statistical programming or querying languages such as R, Python, or SQL - Strong written and verbal communication skills, with the ability to develop clear recommendations and influence business partners - Strong project management, critical thinking, prioritization, and solution-oriented problem-solving skills - Demonstrated ability to build relationships, communicate effectively, influence others, and approach business questions with a consultative mindset - Collaborative working style with a focus on process improvement, team effectiveness, and continuous learning Additional skills and experience that we think would make someone successful in this role (not required): Experience with retailer-specific data sources such as Retail Link, Madrid, 1010, 84.51, shopper card data, or POS data Experience with shelving or planogram softwar
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