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Senior Manager, Data Science & Analytics

🕒 17 days ago
Data ScienceAnalyticsProduct AnalyticsStatistical Analysis

📜 Description

  • Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
  • Conduct behavioral analytics, customer segmentation, experimentation, and product measurement efforts.
  • Develop and maintain revenue forecasts, churn models, and customer health scores.
  • Partner with data engineering to manage the internal data analytics platform.
  • Define standards and best practices for analytics and data science.

🛠️ Requirements

  • 7+ years of experience in Data Science, Analytics, Product Analytics, or a related quantitative field, including experience leading and developing high-performing teams.
  • Strong expertise in experimentation, forecasting, statistical analysis, and product or business analytics.
  • Advanced SQL skills and proficiency with Python or similar analytical tools.
  • Experience defining metrics, measurement frameworks, and analytical approaches that support product, growth, and business decision-making.
  • Demonstrated ability to partner with senior leaders, influence strategy, and communicate complex findings clearly to technical and non-technical audiences.
  • Comfortable balancing strategic leadership with hands-on analytical work when needed.
  • Experience working with modern analytics platforms and data warehouses, including Snowflake, dbt, and product analytics tools.
  • Experience in B2B SaaS, PLG, or subscription-based businesses preferred.
  • Based in the Americas, remote-friendly.

Benefits

  • See full benefits here →
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