Senior Product Data Analyst

September 26

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CloudBees

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Software • B2B • DevOps

CloudBees is a leading provider of DevOps solutions, specializing in optimizing and managing the software development lifecycle through its advanced Continuous Integration and Continuous Delivery (CI/CD) capabilities. By leveraging Jenkins, CloudBees enables developers to streamline workflows, automate processes, and enhance software delivery across hybrid and multi-cloud environments. CloudBees empowers organizations to optimize developer experiences through features like security and compliance management, feature management, and smart testing, ensuring seamless integration of tools within the DevOps ecosystem.

501 - 1000 employees

Founded 2010

🤝 B2B

💰 $95M Debt Financing on 2021-12

📋 Description

• Own product data strategy & reporting automation: develop and implement scalable data solutions that streamline reporting and analytics. • Perform quantitative analysis: deep dives into product and business data to unlock insights and opportunities. • Support hypothesis testing: collaborate with Product Managers to validate product hypotheses with rigorous data analysis. • Data analysis & insights: analyze large datasets to identify patterns, trends, and key insights related to user behavior, product usage, and market dynamics. • Reporting & visualization: build and maintain dashboards and reports to monitor KPIs and communicate findings effectively. • Self-service dashboards & data literacy: create and maintain self-service dashboards to democratize data access; lead "brown bag" sessions to educate teams. • Data quality assurance: ensure data accuracy and consistency, partnering with relevant teams to resolve data issues. • Forecasting & predictive analytics: develop forecasting models to estimate product performance and uncover growth opportunities. • Cross-team collaboration: work closely with the business data science team while maintaining focus on product organization’s data needs. • Expected impacts: improved decision-making, cohesive data structure, higher feature success rates, faster iteration cycles, increased data literacy.

🎯 Requirements

• 8+ years of experience in data analysis, statistical modeling, and performance optimization. • 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. • Exceptional communication skills, with the ability to present data-driven narratives to product teams and executives. • Preferred: experience in consulting or data analysis role focused on product analytics; experience with product-led growth; familiarity with product management methodologies; experience working cross-functionally with engineering, data science, and product teams.

🏖️ Benefits

• Generous paid time off to allow our employees time to rest, recharge and to be present with family and friends throughout the year. • Remote work (Fully Remote - USA or Canada).