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.

What you'll do here:

• Collaborate with the product team to mine our mountains (ok large, but growing hills) of Redshift data into opportunities for growth, more informed decisions, customer insights, behavior and data-powered features.
• Create and manage Reporting and Visualization tools to help the product team understand and react to business health
• Pull ad hoc SQL analysis for fun and profit
• Conduct and analyze quantitative surveys - teasing out actionable insights and sharing them with the team
• Work hand-in-hand with engineers, product managers and designers to design statistically significant “real” experiments
• Update and propose testing frameworks and report back on testing when complete

What you'll bring to the table:

• Undergrad or graduate degree in STEM, Finance or Marketing fields strongly preferred
• 2+ years of experience in an analytical field, ideally at a consumer startup
• Extremely competent in SQL, Excel and analytics tools with bonus points for working knowledge of R, Python
• Understanding of consumer Lifetime Value and cohort analysis

You'll be great if you:

• Know SQL and the command line but really appreciate the beauty of visual data
• Are intellectually curious and love finding pockets of insight from a heap of raw information
• Can "connect the dots" between business questions and raw data
• Have a knack for boiling technical analysis into elegantly simple explanations
• Have worked with longitudinal, and behavioral data and understand how to think in cohorts
• Aren’t a robot - you know how qualitative and quantitative data can inform one another and are excited about working with other folks who feel the same way