Product Data Analyst - FinTech Insights & Experiments

Finyard; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Finyard is seeking a Data Analyst to join the Data Office and be allocated to the Product domain. You will partner with Product, Commercial, and Engineering to understand user behaviour, design experiments, and build analytics foundations including dashboards and data marts for scalable insights.

You will develop KPI trees, track product metrics, and drive data-driven decisions across web and mobile platforms.

Qualifications

• 3+ years of experience in data analytics (fintech/product experience a strong plus).
• Strong SQL and Python skills with large datasets.
• Solid understanding of product analytics concepts: funnels, conversion, retention, cohorts, engagement, monetisation, segmentation.
• Hands-on experience with A/B testing and experiment analysis including statistical significance and 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.

Responsibilities

• Product analytics & insights: analyze user behaviour and product journeys; identify drop-offs and growth opportunities; translate into actionable hypotheses.
• Experimentation & hypotheses: formulate hypotheses, design and analyse A/B tests, define success criteria, ensure actionable outcomes.
• Metrics & product monitoring: define KPIs, build dashboards, create segmentations, develop data marts and single source of truth datasets.

Skills

SQL+Python

Data analytics

A/B testing

Event tracking

Product analytics

Cross-functional communication

Russian & English (advanced)

Tools

Amplitude

Snowflake

ClickHouse

MySQL

BigQuery

Job description

Finyard is seeking a Data Analyst to join the Data Office and be allocated to the Product domain. You will partner with Product, Commercial, and Engineering to understand user behaviour, design experiments, and build analytics foundations including dashboards and data marts for scalable insights.

You will develop KPI trees, track product metrics, and drive data-driven decisions across web and mobile platforms.