Data Analyst

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At Lovepop, we believe that relationships are the most important things in our lives and people respond to things that are unexpected, personal. We build stronger relationships through products that let truly let you connect with people you care for. Data plays a HUGE role in making these connections and understanding context. We’re bringing on an analyst who is passionate about identifying opportunities to build more thoughtful and contextual relationships through Lovepop.

We’re looking for a analytical self-starter to lead the charge in making our business smarter and more thoughtful through actionable data. You’ll collaborate with stakeholders across the organization to translate our mountains (ok large, but growing hills) of data into opportunities for growth, more informed decisions, customer insights and data-powered features.

Responsibilities:

  • Create company and department-level dashboards to help the entire team become more data driven
  • Work with Marketing to track, understand and react to our aquistion and remarketing channel performance
  • Help the Product team design and analyze split and longitudinal experiments
  • Build and maintain inventory and production forecasting models using Lovepop’s shopping behavior and seasonal trends
  • Partner with stakeholders to answer adhoc complex questions about our customer and product behaviors
  • Proactively drive our collective understanding of our customers forward through your own data explorations
  • Own our analytics quality and partner with product on implantation and data pipeline. 

You'll be great if you:

  • Love excel and the command line
  • Are detail oriented and relish the chance to squash data bugs
  • Can "connect the dots" between business questions and raw data
  • Have a knack for boiling technical analysis elegantly simple explanations

Requirements

  • Undergrad or graduate degree, STEM fields strongly preferred
  • 1+ years of experience in an analytical field, ideally at a consumer startup
  • Extremely competent in SQL, Excel and analytics tools
  • Bonus points for experience in Python, R, JS for data viz, and BI tools

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Location

68 Harrison Ave, Boston, MA 02111

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