Customer Advisor I – Mattel Account at Acosta in Remote

Summary: Acosta is a part of Acosta Group, specializing in retail sales services, digital strategy, and business intelligence. They are seeking a Customer Advisor I to support Mattel by translating retail and shopper data into actionable category strategies, collaborating cross-functionally, and driving category growth through store visits and audits. Responsibilities: - Support category management execution for Mattel by helping implement category strategies, business insights initiatives, and customer‑ready recommendations that drive growth - Build strong partnerships with Business Managers and Mattel stakeholders to develop and advance strategic category plans aligned with retailer and client objectives - Participate in routine customer and market visits alongside business managers and Mattel partners to advance category initiatives, validate insights, and strengthen relationships - Conduct store audits and field checks to evaluate assortment, shelf space, merchandising execution, and pricing across assigned categories; translate findings into actionable recommendations - Support delivery of customer‑facing category management reviews by partnering with business managers and/or space technologists to prepare insights, analysis, and presentations - Analyze, refresh, and maintain insights presentations for Mattel, ensuring data accuracy and a clear, persuasive story - Maintain frequent internal and external communication with category managers, Mattel stakeholders, and key customer personnel to keep initiatives on track and remove roadblocks - Coordinate with shared analytics partners (CSBI) to manage timelines and ensure base presentations are completed accurately and on schedule - Partner with CSBI to manage and update syndicated databases used for Mattel, customer, and market reviews, ensuring clean and current data inputs - Leverage syndicated and customer data sources (e.g., IRI, Nielsen/ACNielsen, POS, loyalty data) to generate insights that inform category recommendations and performance reviews - Support additional team initiatives and continuous improvement efforts as assigned Required Qualifications: - Bachelor's degree preferred, or equivalent combination of education and relevant experience - 1+ years of experience in category management, sales, business insights, analytics, or related CPG/retail roles - Experience supporting client‑ or customer‑facing category initiatives, including data‑driven recommendations and in‑market execution - Hands‑on experience with syndicated data platforms such as IRI and Nielsen / ACNielsen, with a solid understanding of data generation, maintenance, and application - Strong proficiency in Windows‑based tools, including spreadsheets, presentations, databases, email, and reporting applications - Ability to analyze complex datasets and translate insights into clear, compelling stories and customer‑ready recommendations - Strong written and verbal communication skills, with confidence presenting insights to internal teams and external customers - Proven ability to collaborate cross‑functionally with business managers, category managers, analytics partners (CSBI), and customer teams - Comfortable working in a fast‑paced, matrixed environment and influencing outcomes through partnership - Strong sense of ownership and urgency; proactive and accountable - Collaborative, team‑oriented mindset with a consultative, sales‑minded approach - Intellectual curiosity and creativity with the ability to uncover shopper, retailer, and category insights - Highly organized with strong project management and prioritization skills - Skilled in data‑driven storytelling, connecting macro trends to in‑store execution and category opportunities across the total store Required Skills: Category Management, Sales, Business Insights, CPG/Retail Experience, Client-Facing Category Initiatives, Data-Driven Recommendations, In-Market Execution, Syndicated Data Platforms, IRI, Nielsen/ACNielsen, Windows-Based Tools, Spreadsheets, Databases, Email, Reporting Applications, Data Analysis, Data-Driven Storytelling, Consultative Approach, Sales Mindset, Intellectual Curiosity, Presentations, Project Management