Magic Spoon reimagines your childhood breakfasts favorites with more protein, less sugar, and more fun. Since launching in 2019, we've brought our unbelievably tasty cereal to over one million customers online and over 20,000 stores nationwide. With our recently launched Protein Treats and Protein Granola we're continuing to find new ways to make mornings magical - all made possible by our incredible team.
We're seeking a detail-oriented Trade Analyst to join our Commercial team and drive promotional effectiveness across our rapidly growing retail business. This role will be crucial in optimizing our trade spend and supporting data-driven decision making for our sales organization.
We are open to remote candidates, with a preference for those able to join us locally at our NYC office (Tues, Weds, Thursday in Tribeca).
Magic Spoon is a dynamic food company that reimagines classic childhood breakfast cereals by offering products with higher protein content and lower sugar levels, all while maintaining a fun and enjoyable experience. Since its inception in 2019, Magic Spoon has successfully reached over one million customers through online sales and has expanded its presence to more than 20,000 retail locations across the United States. The company continues to innovate with new products like Protein Treats and Protein Granola, driven by a dedicated team committed to making mornings magical.
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Magic Spoon is a dynamic food company that reimagines classic childhood breakfast cereals by offering products with higher protein content and lower sugar levels, all while maintaining a fun and enjoyable experience. Since its inception in 2019, Magic Spoon has successfully reached over one million customers through online sales and has expanded its presence to more than 20,000 retail locations across the United States. The company continues to innovate with new products like Protein Treats and Protein Granola, driven by a dedicated team committed to making mornings magical.
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Join Magic Spoon as a Trade Analyst to optimize trade spend and support data-driven decisions in a growing retail business.
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