Product Analyst

Role Overview

As a Product Analyst at Veriff, you will partner with Product and Engineering squads to turn data into actionable product insights. You’ll be responsible for end-to-end analytics—from dashboarding and experimentation to deep-dive investigations and data governance support.

Key Missions

• Collaborate with Product and Engineering leaders as an analytics partner, owning the narrative of the data for your product areas.
• Design and deliver dashboards based on product portfolio metrics (including client-level performance views).
• Design, run, and analyze A/B tests and experiments, providing statistically rigorous guidance on:
  • sample size
  • statistical significance
  • causal inference
• Support data governance initiatives.

Requirements

• 3–5+ years experience in a Data Analyst, Product Analytics, or Data Science role.
• Strong understanding of A/B testing and experimentation, including:
  • hypothesis testing
  • statistical significance
  • causal inference
• Experience with Python for data manipulation, ad-hoc analysis, and statistical modeling (e.g., pandas, scipy).
• Ability to translate complex analysis into clear, actionable recommendations for non-technical stakeholders.
• Experience building dashboards.
• Extensive SQL experience (including advanced SQL).
• Strong “live in the data” mindset and ability to simplify complexity.

Nice-to-haves

• Familiarity with dbt.
• Experience in B2B SaaS or a tech company.
• Experience in identity verification, fraud detection, or fintech domains.
• Exposure to predictive analytics or machine learning techniques.
• Experience communicating to senior non-technical audiences.
• Experience with data governance.

Location / Work Setup

• Full remote (with flexibility to work from home or pet-friendly offices).