Sr Analyst, Analytics & Insights (CPG)

Acosta•Lewisville, TX
•Hybrid

About The Position

This hybrid position is based in the Lewisville, Texas office and requires working in the office three days per week. The Senior Analyst combines CPG analytics, business intelligence, and strategic insights to support category, customer, and business decisions. Approximately 50% of the role supports a major global CPG client, with the remaining time focused on other clients, new business, and broader Business Intelligence initiatives. For the major client, the analyst manages recurring data processes and reporting, develops monthly performance insights, prepares quarterly business reviews and commission reporting, partners with client and CROSSMARK stakeholders, and maintains standardized processes and documentation. For shared Business Intelligence work, the analyst manages analytics requests, develops category and line reviews and customer-ready presentations, analyzes category and brand performance using syndicated, customer, distributor, and internal data, and translates findings into clear recommendations. The role also supports cross-functional initiatives, customer education, new-business opportunities, and BI capability development while maintaining data quality and timely delivery. CROSSMARK, part of Acosta Group, is a sales and marketing agency that helps brands grow through retail solutions, merchandising, product demonstrations, and data-driven insights. The company describes its culture as supportive, collaborative, inclusive, and focused on employee growth and work-life balance. Acosta Group is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.

Requirements

  • Bachelor’s degree in Business, Analytics, Marketing, Economics, Statistics, Data Science, or a related field, or equivalent relevant experience.
  • Experience in business insights, category management, sales analytics, customer analytics, or CPG/retail analytics.
  • Hands-on experience with Circana, NIQ, customer loyalty data, household panel data, or similar syndicated and shopper data.
  • Experience developing category reviews, assortment and distribution recommendations, performance analyses, scorecards, and customer-facing insights.
  • Advanced Microsoft Excel and PowerPoint skills, including data analysis, validation, visualization, and insight-driven storytelling.
  • Strong understanding of CPG performance metrics, including category, brand, item, distribution, velocity, pricing, promotion, and competitive performance.
  • Ability to translate complex data into clear, actionable business recommendations for technical and non-technical audiences.
  • Strong analytical, communication, organizational, and problem-solving skills, with the ability to independently manage multiple priorities and deadlines.

Nice To Haves

  • Experience within the Convenience channel, including retailer, wholesaler, or distributor data.
  • Experience supporting snacks, confectionery, beverages, food, or other CPG categories.
  • Experience with Power BI, Tableau, SQL, Alteryx, or similar analytics and visualization tools.
  • Familiarity with customer/product hierarchies, multi-source reporting, data uploads, or commission reporting.

Responsibilities

  • Manage recurring data processes and reporting for a major CPG client, ensuring accurate, timely, and reliable deliverables.
  • Develop monthly performance insights that identify trends, risks, opportunities, and recommended actions.
  • Prepare quarterly business reviews and commission reporting using distributor, wholesaler, customer, and internal data.
  • Partner with client and CROSSMARK stakeholders to align on reporting requirements, priorities, product and category definitions, and deadlines.
  • Maintain standardized processes and documentation for consistent client delivery.
  • Manage analytics requests, clarify business needs, and determine appropriate data, analysis, and deliverables.
  • Develop category and line reviews, new-item sell-in stories, assortment and distribution recommendations, performance analyses, and customer-ready presentations.
  • Use syndicated, customer, distributor, and internal data to assess category and brand performance, item contribution, distribution, velocity, pricing, promotion, and competitive trends.
  • Translate complex data into clear business insights, compelling stories, and actionable recommendations for clients, sales teams, and leadership.
  • Support cross-functional initiatives, customer education, new-business opportunities, and BI capability development.
  • Manage multiple priorities while maintaining data quality, accuracy, and on-time delivery.
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