Product Analyst
About this role
We're looking for a Product Analyst to join our team and partner directly with Product and Engineering squads to turn data into actionable product insight. You'll sit within the Product Analytics team (Data Division), reporting to the Product Analytics Lead.
You’ll help us protect honest people online by:
Partner with Product Managers and Engineering leads as an analytics partner, owning the data narrative for your product area(s)
Design and deliver dashboards from product portfolio metrics to customer-level performance views
Design, run, and analyse A/B tests and experiments providing rigorous statistical guidance on sample sizing, significance, and causal inference
Conduct deep-dive investigations, e.g. product funnel diagnostics, or customer behaviour patterns
Proactively identify patterns, anomalies, and opportunities in data and communicate findings clearly to stakeholders
Support data governance initiatives
You are the right future Veriffian for the job if you:
Live in the data, and love simplifying complexity
3-5+ years of experience in a data analyst, product analytics, or data science role.
Extensive experience in SQL
Solid understanding of A/B testing methodology, statistical significance, hypothesis testing, and causal inference
Exposure to Python for data manipulation, ad-hoc analysis, and statistical modelling (pandas, scipy, etc.)
Experience building dashboards
Ability to translate complex analysis into clear, actionable recommendations for non-technical stakeholders
You’re an especially awesome match if you have:
Advanced SQL
Familiarity with dbt
Experience with a B2B SaaS or tech company
Experience with identity verification, fraud detection, or fintech domains
Exposure to predictive analytics or machine learning techniques
Experience with data governance
Experience with communicating to senior non-technical audiences
Responsibilities
- Partner with Product Managers and Engineering leads as an analytics partner, owning the data narrative for your product area(s)
- Design and deliver dashboards from product portfolio metrics to customer-level performance views
- Design, run, and analyse A/B tests and experiments providing rigorous statistical guidance on sample sizing, significance, and causal inference
- Conduct deep-dive investigations, e.g. product funnel diagnostics, or customer behaviour patterns
- Proactively identify patterns, anomalies, and opportunities in data and communicate findings clearly to stakeholders
- Support data governance initiatives
- Live in the data, and love simplifying complexity
- 3-5+ years of experience in a data analyst, product analytics, or data science role.
- Extensive experience in SQL
- Solid understanding of A/B testing methodology, statistical significance, hypothesis testing, and causal inference
- Exposure to Python for data manipulation, ad-hoc analysis, and statistical modelling (pandas, scipy, etc.)
- Experience building dashboards
- Ability to translate complex analysis into clear, actionable recommendations for non-technical stakeholders
- Advanced SQL
Requirements
- Familiarity with dbt
- Experience with a B2B SaaS or tech company
- Experience with identity verification, fraud detection, or fintech domains
- Exposure to predictive analytics or machine learning techniques
- Experience with data governance
- Experience with communicating to senior non-technical audiences
- Flexibility to work from home
- Stock options that ensure your share in our success
- Extra recharge days on top of your annual vacation
- Comprehensive relocation support to Estonia or Spain
- Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
- Learning and Development & Health and Sports budget that you are free to tailor to your own needs
- Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary