Product Analyst Jobs
Product analyst roles turn product usage, funnel, experiment, and customer data into decisions a team can act on. Use this hub to compare active source-backed analyst listings and check whether each role emphasises SQL, experimentation, dashboarding, product metrics, stakeholder storytelling, data quality, or deeper statistical work. Treat listed tool requirements as source-of-truth and confirm the actual data stack with the employer.
Check source-backed roles
Compare active, approved rows from the job pipeline before assuming a company is still hiring.
All opportunities →Match your proof of work
Use shipped-work evidence, tradeoff notes, and product-stack context to decide whether your profile fits the role.
Portfolio guide →Hiring this role?
Shortlist available product builders by role, tools, location, shipped work, and availability signals.
Browse builders →Key Responsibilities
- •Build dashboards and reporting for product metrics
- •Design and analyse A/B tests and experiments
- •Conduct deep-dive analyses on user behaviour and funnels
- •Partner with PMs to define success metrics for new features
- •Create self-serve analytics tools for the product team
- •Present insights and recommendations to stakeholders
- •Maintain data quality and documentation
Skills & Requirements
- →SQL and database querying (advanced)
- →Statistical analysis and experimentation
- →Dashboard tools (Looker, Tableau, Metabase)
- →Python or R for data analysis
- →Product metrics frameworks (AARRR, North Star)
- →Communication and data storytelling
- →Understanding of product development processes
Compensation checks
- •Use compensation shown on each imported job row when it exists; missing compensation means the source listing did not provide a usable range.
- •Confirm currency, location basis, bonus/equity, contract status, and remote-location rules on the original company listing before comparing offers.
- •Treat generic market salary articles as context only. ProductPeople should not override source job data with unsourced benchmark ranges.
Career Path
Product analysts progress to Senior Analyst, Lead Analyst, and Analytics Manager. Some transition into data science, product management, or growth roles. The analytical foundation is highly transferable.
Staff Product Analyst, Finance Technologies (Source to Pay)
Staff Product Analyst (Workday Payroll, Absence & Time Tracking)
Principal Product Analyst - Workday Delivery Lead
Senior Product Analyst - Finance Technology
Senior Product Analyst
Staff Product Analyst, Finance Technologies (Order to Cash)
Frequently Asked Questions
What's the difference between a Product Analyst and a Data Analyst?
Product analysts focus specifically on product usage data, feature performance, and user behaviour. Data analysts may work across broader business functions like finance, marketing, or operations.
What SQL level is expected?
Advanced. You should be comfortable with window functions, CTEs, complex joins, and query optimisation. Most product analyst interviews include a live SQL assessment.
Do Product Analysts need to know Python?
Increasingly yes. Python is used for statistical analysis, automation, and building more sophisticated models. R is also acceptable, but Python is more widely used in product teams.
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