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Senior Category & Business Analytics Analyst

Thriving Brands

Remote · 全职

抢先申请

经验
5年以上
薪水
职位空缺
1
发布
4小时前
工作模式
在家办公
学历
学士学位
恢复
需要申请

职位描述

About Thriving Brands

Thriving Brands is a rapidly expanding consumer packaged goods company dedicated to acquiring, rejuvenating, and growing renowned consumer brands. Combining entrepreneurial agility with deep industry knowledge, we uncover growth opportunities through sharp insights, thorough analytics, and superior execution. Our portfolio includes trusted names such as Right Guard and Dry Idea, with ongoing plans for strategic brand acquisitions.

Role Overview

The Senior Category & Business Analytics Analyst plays a pivotal role in converting complex data into impactful business insights that drive sales expansion, improve retailer outcomes, lead category innovation, and support strategic decision-making. This role partners closely with category management, sales, marketing, finance, and executive teams. The ideal candidate blends robust analytical prowess with strong commercial awareness and can translate detailed data into compelling business narratives and recommendations. Experience in CPG analytics, syndicated and retailer data platforms, along with category management expertise, is essential.

Key Responsibilities

  • Analyze performance across categories, retailers, brands, and competitors to discover growth opportunities, emerging trends, and potential risks.
  • Deliver actionable guidance on assortment, pricing, promotions, distribution, and merchandising to stimulate category and retailer growth.
  • Provide data-supported insights to aid customer business reviews, line reviews, and retailer meetings.
  • Monitor performance with major retail partners such as Walmart and Kroger.
  • Conduct market and competitor analyses to identify untapped market potential and back growth initiatives.
  • Prepare regular and ad hoc sales and point-of-sale reports to track business performance and identify opportunities.
  • Perform financial analyses including evaluating promotional effectiveness, ROI, and revenue growth opportunities.
  • Analyze forecasts, inventory, and stock levels to mitigate risks and enhance execution quality.
  • Collaborate with cross-functional teams providing data-driven strategies to support decision-making and planning.
  • Convert extensive datasets into clear, actionable insights and develop executive presentations to influence business outcomes.
  • Create persuasive narratives focused on retailers, shoppers, and categories to support sales and growth strategies.
  • Build and maintain dashboards, scorecards, and automated reporting tools using Power BI, Excel Power Query, and similar platforms to improve reporting accuracy and efficiency.
  • Ensure data integrity and consistency across reports and business trackers through best practice implementations.
  • Manage new item setup and retailer onboarding documentation to aid product launches.
  • Assist with special projects and analytics requests, fostering a cooperative and entrepreneurial team culture.

Experience and Skills Required

  • Over 5 years of experience in business analytics within the consumer packaged goods sector.
  • Familiarity with syndicated data tools such as IRI, Scintilla, and Numerator.
  • Advanced proficiency in Excel, PowerPoint, and modern data analysis tools including Power BI.
  • Strong analytical skills capable of interpreting complex datasets and crafting persuasive business stories.
  • Experience using AI-powered analytics platforms, such as ChatGPT, Copilot, or Claude, to augment reporting and insights, is advantageous.
  • Excellent communication and presentation skills with the ability to engage diverse teams and external partners.
  • Detail-driven with a focus on accuracy and quality.
  • Ability to operate effectively in a fast-paced environment while juggling multiple priorities.
  • Possession of a minimum of a Bachelor's degree; MBA is preferred.
  • Willingness to travel occasionally for meetings (less than 5% of the time).
  • This is a fully remote position; the candidate must accommodate working hours within US Central or Eastern time zones for optimal team collaboration.

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