[Hiring] Data Analyst @Finyard

Role Description

We are looking for a Data Analyst to join our Data Office and be allocated to the Product domain. You will partner closely with Product, Commercial, and Engineering teams to:

• Understand user behaviour
• Evaluate and generate product hypotheses
• Design and analyse experiments
• Improve key business and product metrics
• Build scalable analytics foundations such as metrics, data marts, dashboards, and alerting

Key Responsibilities

• Product analytics & insights:
  • 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.
• Experimentation & hypotheses:
  • 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.
• Metrics & product monitoring:
  • 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.
• Segmentation & behavioural research:
  • 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.
• Data foundations & analytics quality:
  • 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.

Qualifications

• 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-have

• 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.

Our Technological Stack

• Databases: Snowflake, ClickHouse, MySQL, BigQuery
• Visualisation systems: Tableau, HEX
• Analytics tools: Amplitude
• Programming language: Python (pandas, numpy, scikit-learn)
• Interactive environments: Jupyter Notebook, HEX