Category Analyst

3 weeks ago


Boston, United States PRIME Inc Full time

Our Company Congo Brands is at the epicenter of where consumer demand meets product development. Through brand partnerships with lead influencers, we are afforded an inside look at what consumers truly desire. Congo Brands is a health and wellness brand that sells supplements, fitness snacks, hydration drinks, energy drinks, and more through e-commerce and retail partnerships. Congo Brands houses some of the world's most noted brands including Alani Nu, Prime Hydration, and 3D Energy. Congo Brands is on pace to become one of the world's most noted consumer product companies, with revenue growth increasing exponentially year over year. Congo Brand's goal is to be the go-to ‘Better for You Brand' for everything from ready-to-drink beverages, snacks, supplements and more. The Role We are looking for a Category Analyst to join our team who will provide critical analytical support to our category management efforts. In this role, you will leverage data to identify trends, opportunities, and areas for improvement within our product categories, ensuring that our offerings align with customer needs and market demands. Analyze sales trends, market dynamics, and competitive landscape to identify opportunities and threats, and to drive business growth within the energy drinks category. Collaborate with cross-functional teams such as Marketing, Sales, Product Development, and Supply Chain to implement category strategies. Use data-driven insights to influence assortment decisions and shelf placement. Design, manage, and implement pricing and promotional strategies to optimize product performance. Develop strong relationships with key stakeholders and strategic partners to drive category growth. Present findings, insights, and strategic recommendations to senior management, using data visualization and presentation tools. Stay updated with industry trends and consumer behavior to inform the strategic direction of the category. Responsible for creation and distribution of monthly syndicated scorecard, highlighting key insights and trends. Leverage panel data to develop reports on consumer demographics and behavior. Collect, organize and distribute retail sales data from various sources, including POS systems, inventory management systems, and customer databases. Conduct ad-hoc analysis and special projects as assigned to support business initiatives. Requirements Bachelor's degree in Business, Marketing, Finance, Economics, or equivalent work experience. Minimum 2 years' experience in Category Management, ideally in the Beverage industry. Advanced skills in Excel, and other data/visualization tools. XLOOKUPs/Pivot Tables a must, PowerBI/Power Pivot & Query is a plus. Proficient in other M365 tools such as PowerPoint, Word, SharePoint. Power Automate experience a plus. Hands-on experience with syndicated data platforms (SPINS, Nielsen, and IRI) is required. Proven strong analytical, problem-solving, critical thinking skills and a desire to be a lifelong learner. Excellent communication and presentation skills, with the ability to effectively convey complex data and insights to non-technical audiences. Strong project management and organization skills, with the ability to manage multiple tasks simultaneously and meet tight deadlines. Proficient understanding of retail consumer behavior and market dynamics. Experience with Blue Yonder (JDA) and/or other major space planning tools, experience with updating product databases an asset. Passion for the beverage industry/CPG and a drive to make a meaningful impact on our business. Bonus points for those with experience in 84.51 Stratum. Benefits Competitive Salary Health/Vision/Dental Benefits 15 days of PTO + 8 paid holidays 6 weeks paid parental leave 401K plan with employer match Monthly cell phone stipend AND SO MUCH MORE Congo Brands, LLC. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. #J-18808-Ljbffr


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