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Lead Product Data Analyst

CloudBees
Full-time
Remote
United States
$130,000,150,000 - $130,000,150,000 USD yearly
Full-time
Description

Job Title: Lead Product Data Analyst
Job Type: Full-time
Location: Remote - United States


About CloudBees

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About the Role

We are looking for a highly analytical Lead 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.


Key Responsibilities

  • 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.

Qualifications

Required:

  • 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 (not required):

  • 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!

Compensation & Benefits

  • Base Pay Range: $130,000 – $150,000 annually In accordance with applicable law, this represents a reasonable estimated compensation range for this role. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above. Outside of base compensation, CloudBees also offer stock options and variable bonuses.Β 
  • What CloudBees Offers:
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Short & Long Term Disability
    • Life Insurance
    • HSA/FSA
    • Remote Work Environment
    • Flexible Time OffΒ 
    • Paid Company Holidays
    • Parental Leave
    • Variable Bonus Plan dependent on your role
    • Stock grant opportunities dependent on your role
    • 401(k) with Company Match

EEO Statement

CloudBees is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.


Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not an exhaustive list of all duties, responsibilities, and qualifications required of employees assigned to this position. Duties, responsibilities, and activities may change at any time with or without notice.

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