Sr. Product Data Analyst

Remote - USA or Canada

About CloudBees

CloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work.

Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool—it's a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle. It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows.

CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud. We’re helping customers build the future, today.

About the Role

We are looking for a highly analytical Senior Product Data Analyst to join our growing Product Operations team. This role will drive our product data strategy, automate reporting, and uncover insights that shape product decisions. The ideal candidate is naturally curious, thrives on data exploration, and enjoys crafting compelling narratives from numbers. They will work closely with Product Managers, Leadership, and Executives to translate data into actionable recommendations that enhance our product development and strategy.

What You’ll Do

• Own product data strategy & reporting automation: develop and implement scalable data solutions that streamline reporting and analytics.
• Quantitative analysis: perform deep dives into product and business data to unlock insights and opportunities.
• Support hypothesis testing: collaborate with PMs 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 across teams, empowering stakeholders to find insights independently. Lead "brown bag" sessions to educate teams on how to interpret and utilize these dashboards, improving overall data literacy within the organization.
• 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 new growth opportunities.
• Cross-team collaboration: work closely with the business data science team while maintaining a dedicated focus on the product organization’s data needs.

Expected Impact

• Improved decision-making: enable data-driven choices across the product organization.
• Cohesive data structure: ensure consistency in data collection, analysis, and reporting across teams.
• Higher feature success rates: help product teams make informed decisions that lead to impactful product improvements.
• Faster iteration cycles: provide real-time insights that accelerate experimentation and iteration.
• Increased data literacy: equip teams with the tools and knowledge to access and interpret data independently, fostering a data-driven culture.

Basic Qualifications

• 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 Qualifications

• 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.
• Experience working cross-functionally with engineering, data science, and product teams.
• Strong analytical mindset with ability to translate data findings into actionable business recommendations.

If you are excited about diving deep into product data and using your expertise to drive meaningful impact, we would love to hear from you!

We’re invested in you!

We offer generous paid time off to allow our employees time to rest, recharge and to be present with family and friends throughout the year.At CloudBees, we truly believe that the more diverse we are, the better we serve our customers. A global community like Jenkins demands a global focus from CloudBees. Organizations with greater diversity—gender, racial, ethnic, and global—are stronger partners to their customers. Whether by creating more innovative products, or better understanding our worldwide customers, or establishing a stronger cross-section of cultural leadership skills, diversity strengthens all aspects of the CloudBees organization.In the technology industry, diversity creates a competitive advantage. CloudBees customers demand technologies from us that solve their software development, and therefore their business problems, so that they can better serve their own customers.

CloudBees attributes much of its success to its worldwide work force and commitment to global diversity, which opens our proprietary software to innovative ideas from anywhere. Along the way, we have witnessed firsthand how employees, partners, and customers with diverse perspectives and experiences contribute to creative problem-solving and better solutions for our customers and their businesses.

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