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Sr. Product Data Analyst

CloudBees Inc

Salary not specified
Sep 23, 2025
Remote, US
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CloudBees is looking to hire a Sr. Product Data Analyst to drive their product data strategy, automate reporting, and uncover insights that shape product decisions, ultimately enhancing product development and strategy.

Requirements

  • Expertise in SQL, including advanced query writing and performance tuning.
  • Mastery of Excel, including complex formulas and modeling techniques.
  • Experience with data visualization tools such as Tableau or similar.
  • Experience with data tools including product analytics platforms (Amplitude) and customer data platforms (Segment).
  • Strong experience in statistical analysis, root cause analysis, and A/B testing.
  • Knowledge of data modeling, warehousing, and ETL pipeline design.
  • Ability to analyze big data volumes efficiently and translate findings into business recommendations.

Responsibilities

  • develop and implement scalable data solutions that streamline reporting and analytics.
  • perform deep dives into product and business data to unlock insights and opportunities.
  • collaborate with PMs to validate product hypotheses with rigorous data analysis.
  • analyze large datasets to identify patterns, trends, and key insights related to user behavior, product usage, and market dynamics.
  • build and maintain dashboards and reports to monitor KPIs and communicate findings effectively.
  • create and maintain self-service dashboards to democratize data access across teams, empowering stakeholders to find insights independently.
  • ensure data accuracy and consistency, partnering with relevant teams to resolve data issues.

Other

  • 8+ years of experience in data analysis, statistical modeling, and performance optimization.
  • Exceptional communication skills, with the ability to present data-driven narratives to product teams and executives.
  • Experience in a consulting or data analysis role with a focus on product analytics.
  • Experience with product-led growth
  • Familiarity with product management methodologies and an understanding of digital product development lifecycles.