Product Analyst
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Key skills for this role
About the Role
A partner company is looking for a Product Analyst based in the UAE to turn user behavior and platform data into actionable insights. You will analyze customer interactions with a complex SaaS platform, identify adoption patterns and friction points, and work closely with Product leadership to influence strategy.
Key Skills for This Role
Responsibilities
- Own user behavior analysis across the product, including journeys, engagement patterns, session depth, and usage frequency across different customer segments
- Monitor feature performance, adoption rates, and experimentation results to identify what drives or limits product value
- Conduct cohort, funnel, retention, and expansion analyses to uncover behavioral trends and predict customer lifecycle outcomes
- Identify friction points, drop offs, and underperforming areas, translating findings into structured, actionable recommendations
- Define, track, and maintain core product KPIs, ensuring consistency, accuracy, and reliability across reporting layers
- Provide ongoing analytical input to Product leadership, supporting roadmap decisions and early detection of product health risks
Requirements
- 3 6+ years of experience in product analytics, SaaS analytics, or data driven product environments
- Strong proficiency in SQL, data modeling, and analytics tools, with hands on experience working with large datasets
- Solid experience in cohort analysis, funnel analysis, retention modeling, and behavioral data interpretation
- Proven ability to translate complex data into clear, executive ready insights that influence product decisions
- Experience working closely with Product Managers and cross functional teams in high growth environments
- Strong quantitative reasoning, structured thinking, and ability to operate with incomplete or evolving data
Full Job Posting
Role Overview
- This role sits at the core of product decision making, turning user behavior and platform data into clear, actionable insights that guide product strategy and roadmap priorities.
Accountabilities
- Own user behavior analysis across the product, including journeys, engagement patterns, session depth, and usage frequency across different customer segments
- Monitor feature performance, adoption rates, and experimentation results to identify what drives or limits product value
- Conduct cohort, funnel, retention, and expansion analyses to uncover behavioral trends and predict customer lifecycle outcomes
- Identify friction points, drop offs, and underperforming areas, translating findings into structured, actionable recommendations
- Define, track, and maintain core product KPIs, ensuring consistency, accuracy, and reliability across reporting layers
- Provide ongoing analytical input to Product leadership, supporting roadmap decisions and early detection of product health risks
Requirements
- 3 6+ years of experience in product analytics, SaaS analytics, or data driven product environments
- Strong proficiency in SQL, data modeling, and analytics tools, with hands on experience working with large datasets
- Solid experience in cohort analysis, funnel analysis, retention modeling, and behavioral data interpretation
- Proven ability to translate complex data into clear, executive ready insights that influence product decisions
- Experience working closely with Product Managers and cross functional teams in high growth environments
- Strong quantitative reasoning, structured thinking, and ability to operate with incomplete or evolving data
- Comfortable in fast paced, product led organizations where insights directly shape execution
Benefits
- Competitive compensation aligned with experience and market benchmarks
- Fully remote work environment with global collaboration opportunities
- Flexible working arrangements supporting work life balance
- Opportunity to work closely with senior product leadership and influence roadmap decisions
- Exposure to large scale SaaS product analytics and strategic decision making
- Dynamic, fast growing environment focused on data driven innovation
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