Lead Product Data Analyst

Overview CloudBees enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. Job Type: Full-time 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. 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. CloudBees values diversity and inclusion as a strength that enhances our ability to serve customers. We strive to maintain a respectful, collaborative, and innovative workplace across a global team. Please be aware that there are scam attempts targeting job seekers. CloudBees will never ask for personal account information, such as credit card details, during the recruitment process. Communications from recruiters will come from official CloudBees domains and will not request payments or purchases. If you are contacted by someone claiming to represent CloudBees and you are unsure of their authenticity, contact us at If you feel you have been scammed in the US, report it to the Federal Trade Commission at: #J-18808-Ljbffr