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SeniorContractPythonAI
Salary Range
$51,714 - $69,966 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Product Analyst to join Cloudinary's team. This role involves partnering with Product Managers, Engineering, Design, and Business stakeholders to transform data into actionable insights.
Key Responsibilities
- →Own and develop product KPIs to track usage, engagement, retention, conversion, and growth
- →Analyze user behavior and product performance to identify opportunities, risks, and improvement areas
- →Design, execute, and analyze A/B tests and experiments, from hypothesis to actionable recommendations
- →Partner with Product Managers to support roadmap planning and feature prioritization based on data and ROI
- →Perform deep-dive analyses on funnels, cohorts, and user segments
- →Leverage AI-powered analytics tools to accelerate SQL, analysis, documentation, and insight generation
- →Clearly communicate insights and recommendations to product teams and senior leadership
Requirements
- ✓5+ years of experience as a Product Analyst / Data Analyst in a product-led organization
- ✓Strong experience working with SaaS products at scale
- ✓Proven track record of influencing product decisions with data
- ✓Hands-on experience integrating AI-assisted workflows into analytics and decision-making
- ✓Advanced SQL skills
- ✓Experience with product analytics tools such as Amplitude, Mixpanel, GA4, Heap, or similar
- ✓Experience with BI & visualization tools (Qlik, Tableau, Looker, Power BI, etc.)
- ✓Solid understanding of statistics and experimentation (A/B testing, hypothesis testing)
- ✓Experience using AI tools to improve productivity and analytical depth
- ✓Experience with Python, Pandas for advanced analysis
- ✓Strong analytical and critical-thinking abilities
- ✓Excellent communication skills - able to turn complex data into clear, actionable stories
- ✓Curious, proactive, and comfortable working in fast-paced environments
- ✓Strong collaboration skills across product, engineering, and business teams
