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Senior Product Analyst - Product Data Science

Posted 2 days agoViewed

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💎 Seniority level: Senior, 3 to 7 years

🏢 Company: New Relic👥 1001-5000💰 Private about 1 year ago🫂 Last layoff about 1 month agoIT InfrastructureCloud ComputingSaaSAnalyticsMobileSoftwareApplication Performance Management

⏳ Experience: 3 to 7 years

Requirements:
  • 3 to 7 years of relevant experience.
  • Proficiency in SQL and Python for data analysis.
  • Experience with data visualization tools such as Tableau or Looker.
  • Knowledge of basic data science methods including regression, classification, tree-based methods, and time series methods.
  • Strong technical knowledge of end-to-end analytics, including building pipelines and data modeling.
  • Minimum 2 years of experience in product analytics with strong product and business intuition.
  • Ability to influence stakeholders and gather requirements effectively.
  • Strong project management skills with the ability to execute and communicate insights.
  • Ability to distill complex findings into actionable insights.
Responsibilities:
  • Conduct in-depth data analysis to identify trends, patterns, and user behaviors to inform product development.
  • Utilize data science techniques and statistical methods to perform exploratory analyses and develop predictive models.
  • Develop and maintain KPIs and performance metrics to assess success of product initiatives.
  • Extract actionable insights from large datasets using various data analysis tools and methodologies.
  • Create and present data-driven reports to stakeholders, demonstrating impacts of product improvements.
  • Stay updated with best practices in data analysis and make informed recommendations.
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