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Senior Product Data Analyst, Fan Experience

Posted 4 days agoViewed

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💎 Seniority level: Senior, 5+ years

💸 Salary: 107000.0 - 147000.0 USD per year

🔍 Industry: Ticketing

🗣️ Languages: SQL, Python

⏳ Experience: 5+ years

Requirements:
  • 5+ years of relevant experience.
  • Degree or higher in economics, computer science, statistics, mathematics, psychology, or another quantitative discipline.
  • Expert-level knowledge of SQL.
  • Experience analyzing large datasets and building reports using business intelligence tools.
  • Understanding of online testing methodologies and metric development.
  • Proficiency in a scripting language (Python or R) is a plus.
  • Domain expertise in two-sided marketplaces or experience understanding sellers or site users is a plus.
Responsibilities:
  • Study seller behavior to provide insights for decision making.
  • Define, evaluate, and monitor key metrics to understand changes and provide insights to Supply leadership.
  • Perform A/B test analysis and interpret results to guide experimentation.
  • Collaborate with engineers to capture relevant data on new features.
  • Work with data and product teams to create sustainable data modeling solutions and automate analyses.
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🔥 Senior Product Data Analyst, Fan Experience
Posted 4 days ago

🧭 Full-Time

💸 107000.0 - 147000.0 USD per year

🔍 Ticketing

  • 5+ years of relevant experience.
  • Degree or higher in economics, computer science, statistics, mathematics, psychology, or another quantitative discipline.
  • Expert-level knowledge of SQL.
  • Experience performing analysis with large datasets.
  • Experience building reports and dashboards using business intelligence tools.
  • Understanding of online testing methodologies and metric development.
  • Proficiency in a scripting language (Python or R) is a plus.
  • Domain expertise in two-sided marketplaces or experience understanding sellers or site users is a plus.

  • Join a team of Data Analysts influencing the Supply product direction.
  • Study seller behavior to integrate data insights into decision-making.
  • Define, evaluate, and monitor key metrics, understanding root causes for changes.
  • Perform A/B test analysis and deep dive into results to guide experiments.
  • Collaborate with engineers to capture relevant data through new features.
  • Work with stakeholders to create sustainable data modeling solutions.
Posted 4 days ago
Apply

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