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Bluecore // decision platform for retail & brand marketers
New York City    Posted: Saturday, February 08, 2020
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Bluecore is a retail marketing technology company that is reimagining the way retailers communicate with shoppers. The 2019 launch of Bluecore Communicate introduces retailers to a fundamentally different email solution that replaces manual processes with an intelligent, AI-driven workflow. More than 400 retail brands, including Tommy Hilfiger, The North Face, TomboyX, & Bass Pro Shops, increase their marketing performance with less effort through Bluecore. Bluecore has been recognized as one of the Best Places to Work by Glassdoor & is ranked No. 241 on the 500 List, the most prestigious ranking of the nation's fastest-growing private companies.
Bluecore's Data Insights team is a client facing extension of the Data Science team & has two key focuses - First to deliver custom deep dive analyses & models to our largest enterprise clients, & second to productize & scale the most relevant insights/models so that they can be delivered to hundreds of clients.  As an Insights Analyst on the team, your job would be to mine, explore, & analyze terabytes of behavioral data & digital marketing engagement data from across 300+ retail brands to discover & deliver actionable insights & models for our clients.  
We're looking for a highly motivated data analyst with a strong technical background & a knack for interpreting & communicating the why behind data & its application to business.  We are looking for candidates with fluency in SQL, & Python or R & who enjoy & appreciate creative thinking, relentlessly digging into data, & turning the results into clearly communicated & compelling actionable insights or models. You'll be working closely with the other analysts on the Data Insights team & data scientists on the Data Science team, as well as collaborating with Bluecore's customer success & strategy teams to deliver these insights & models to our clients.  You will be responsible for discovering, understanding, solving, & communicating the business problems that our brands face & working with our engineering teams to create automated solutions.  
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