Full Stack Data Analyst
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:
- Own Data pipeline, quality, and prioritization
- Create and manage Reporting and Visualization tools to help the entire team become more data driven
- Work with Marketing to track, understand and react to our acquisition and remarketing channel performance
- Help the Product team design and analyze split and longitudinal experiments
- Build and maintain 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
You'll be great if you:
- Love SQL and the command line but appreciate the beauty of visual data
- 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
- Think in systems and know when to automate
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, tracking implementations and BI tools