Sr Data Analyst, Spotlight Listings
Role Overview
Own the measurement framework for the live Spotlight Listings product, including KPIs, dashboards, and instrumentation.
Use advanced analytics to address marketplace challenges, including pricing and packaging optimization and causal inference.
Partner with Product, Marketing, and Sales to inform commercial decisions and measurable product impact.
Key Skills for This Role
Full Job Posting
Role overview
Own the measurement framework for the live Spotlight Listings product, including KPIs, dashboards, and instrumentation.
Use advanced analytics to address marketplace challenges, including pricing and packaging optimization and causal inference.
Partner with Product, Marketing, and Sales to inform commercial decisions and measurable product impact.
What you’ll do
- Report, visualize, and analyze business and product performance; investigate results and provide actionable insights.
- Apply experimentation, statistical modeling, matched-pair analysis, or machine learning to consumer product performance.
- Recommend changes based on feature-level product engagement and performance.
- Forecast and size opportunities to inform product strategy, targets, lead generation, and funnel improvements.
- Partner with Product and data teams to identify opportunities and improve data architecture, visualization, modeling, and testing platforms.
- Advocate for Amplitude adoption and include seller-customer interactions in its buildout.
- Identify drivers of seller-focused customer product NPS and actionable ways for Product and Customer Care to improve it.
- Share analytical best practices and produce ad hoc reports, statistical models, and analyses from planning through final summaries.
What you’ll bring
- Bachelor’s degree in Business Analytics, Math, Economics, or equivalent work experience.
- At least 5 years of relevant experience, or a master’s degree with at least 3 years of experience.
- Advanced SQL knowledge; experience with data exploration and visualization tools such as Tableau, Shiny, or Streamlit.
- Experience with cloud data environments such as AWS and Snowflake.
- Advanced technical and modeling skills, including Excel or Google Sheets.
- Understanding of experimentation and statistics, including confidence intervals, hypothesis testing, and regression analysis.
- Strategic analytical thinking, including product performance driver and conversion funnel analysis.
- Strong written, verbal, and presentation communication skills; comfort working iteratively and managing work independently.
- Product feature performance experience is preferred; subscription business experience and Python or R are preferred skills.
How we work
- The company emphasizes in-person collaboration; most roles work three or more days in the Austin headquarters.
Benefits
- Benefits include medical, prescription, dental, and vision coverage; family-forming benefits; paid holidays; flexible time off; and paid volunteer time.
- The company offers a 401(k) match, tuition reimbursement, financial planning sessions, student debt retirement savings matching, and office snacks and refreshments.
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