Business Intelligence Analyst
- その他
- Other places
- $80 K - $135 K
- Full Time
Our Company
Congo Brands stands at the crossroads of consumer demand and product innovation. Through our collaborations with influential figures, we gain unparalleled insights into the actual wants and needs of consumers. At Congo Brands, we manage some of the most renowned brands worldwide such as Alani Nu, Prime Hydration, Prime Energy, and 3D Energy, just to name a few, with plans for more in the future.
Congo Brands is a health and wellness brand that sells supplements, fitness snacks, hydration drinks, energy drinks, and much more through e-commerce and retail partnerships. E-commerce serves as our testing ground for consumer feedback and a valuable source of data for future retail strategies. Congo Brands is quickly becoming one of the most eminent consumer product companies in the world, boasting consistently growing revenue year after year. Our aim is to be the go-to 'Better for You' Brand for a variety of products ranging from nutritional supplements and energy drinks to snacks and much more.
The Role
This full-time position is based in our Congo Brands HQ in Louisville, KY.
The Business Intelligence Analyst role is wide-ranging and crucial to enabling departments to make data-driven business decisions. This role will collect and examine business requirements, identify improvement areas, and devise innovative solutions. The Business Intelligence Analyst will work closely with Data Managers and Business Analysts to generate actionable insights that will affect all aspects of the business through creating and maintaining data flows, reports, and dashboards.
Key Responsibilities
Key Skills and Experience Required
What Will Set You Apart
Compensation Details
#PRIME
Congo Brands, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, veteran status, age, or any other federally, state, or locally protected classification.