Data Analyst (Product)

Summary

Finyard is a global team focused on innovative fintech software solutions that simplify transactions and investment management. The Data Analyst will support the Product domain by analysing user behaviour, evaluating product hypotheses and experiments, improving product metrics, and building scalable analytics foundations such as dashboards, data marts, and monitoring systems.

Responsibilities

• Analyse **user behaviour and product journeys** across web and mobile applications: funnels, activation, engagement, retention, monetisation, and feature adoption
• Identify **drop-offs, behavioural patterns, friction points, and growth opportunities** and translate them into actionable product hypotheses
• Evaluate the impact of product launches and changes and explain **what changed, why it changed, and for whom**
• Work with the Product team to **formulate and prioritise hypotheses** and define measurable success criteria
• Design and analyse **A/B tests and other experiments**, including primary metrics, guardrails, sample-size considerations, segmentation, and statistical interpretation
• Ensure experiment results are translated into clear **product decisions and next steps**, not just statistical conclusions
• Define and maintain **product KPIs and metric trees**, ensuring consistent definitions across teams
• Develop dashboards and analytical views that help Product teams understand performance without relying on manual analysis
• Build meaningful **user and behavioural segmentations** based on lifecycle stage, product usage, engagement, monetisation, and other relevant characteristics
• Analyse differences between user cohorts and segments to understand **which product experiences work for whom**
• Formulate analytical and business requirements and actively participate in building **product data marts and single-source-of-truth datasets**
• Partner with Engineering and Data Engineering on **event tracking and instrumentation**, ensuring new features generate reliable and useful analytical data
• Improve the **product metrics system**, including definitions, documentation, ownership, and consistency

Skills

• 3+ years of experience in **data analytics** (fintech/product experience is a strong plus)
• Strong **SQL+Python** and hands-on experience working with large datasets
• Strong understanding of **product analytics concepts**: funnels, conversion, retention, cohorts, engagement, monetisation, and segmentation
• Hands-on experience with **A/B testing and experiment analysis**, including statistical significance, confidence intervals, guardrail metrics, and common sources of bias
• Experience with **product analytics tooling and event-based tracking.**
• Ability to communicate insights clearly and collaborate with cross-functional stakeholders
• **Advanced Russian and English**
• Experience building analytical data marts or working with dbt-style analytics engineering workflows
• Experience owning event tracking across web and mobile applications
• Understanding of marketing analytics, acquisition, and attribution

Qualifications

Must Haves

• 3+ years of experience in **data analytics** (fintech/product experience is a strong plus)
• Strong **SQL+Python** and hands-on experience working with large datasets
• Strong understanding of **product analytics concepts**: funnels, conversion, retention, cohorts, engagement, monetisation, and segmentation
• Hands-on experience with **A/B testing and experiment analysis**, including statistical significance, confidence intervals, guardrail metrics, and common sources of bias
• Experience with **product analytics tooling and event-based tracking.**
• Ability to communicate insights clearly and collaborate with cross-functional stakeholders
• **Advanced Russian and English**

Nice to Haves

• Experience building analytical data marts or working with dbt-style analytics engineering workflows
• Experience owning event tracking across web and mobile applications
• Understanding of marketing analytics, acquisition, and attribution