Product Analyst

As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners, leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.

We are on the lookout for a Product-oriented Analyst who can proactively identify growth opportunities, deeply understand client behavior, and directly influence business outcomes through data.

Responsibilities:

• Increase the speed and quality of product hypothesis validation.
• Analyze core product funnels and metrics: registration → KYC → first deposit, repeat deposits, retention, churn, LTV, ARPU/ARPPU, client engagement, etc.
• Work with data from multiple sources: Google Analytics 4, ClickHouse, BigQuery (or other DWH), payment providers, CRM, marketing platforms, and internal event tracking.
• Design, monitor, and analyze A/B tests and product experiments (features, UX flows, promos, bonus mechanics) and translate results into actionable product decisions.
• Build and maintain dashboards in BI tools (Looker Studio, Tableau, etc.) for product and business stakeholders.
• Perform cohort, segmentation, and retention analysis across markets, devices, and client segments (new vs returning, VIP, high-risk, etc.).
• Conduct deep-dive investigations into metric drops, anomalies, and performance issues; identify growth drivers and potential risks.
• Translate business questions into structured analytical tasks: define hypotheses, success metrics, and analytical approaches together with product managers.
• Contribute to tracking and data quality: define product event requirements and collaborate with developers and analytics engineers to ensure data completeness and accuracy.
• Prepare clear presentations and visualizations to communicate insights to both technical and non-technical stakeholders (Product, Marketing, Risk, Leadership).

Requirements

• 3+ years of experience in product or data analytics.
• Strong SQL skills: complex joins, window functions, CTEs, and query optimization for large datasets (ideally ClickHouse and BigQuery).
• Hands-on experience working with GA4 data (events, parameters, user properties, funnels, explorations; exporting GA4 data to DWH is a plus).
• Practical experience with at least one modern BI tool (Looker Studio, Tableau, etc.) — building interactive dashboards for stakeholders.
• Experience planning and analyzing A/B tests: metric selection, statistical significance validation, and clear interpretation of results.
• Strong understanding of key product metrics: conversion, activation, engagement, retention, churn, LTV, ARPU/ARPPU, cohort logic, segmentation.
• Ability to structure ambiguous problems, work independently, and communicate analytical findings in business terms.
• English — B2 or higher (written and spoken).

Nice to Have:

• Experience with Python for analytics and experimentation (pandas, numpy, Jupyter, statistics, visualization).
• Experience with event tracking design and implementation (GA4, custom tracking, Firebase / Appsflyer).
• Experience contributing to end-to-end analytics stacks (ETL/ELT, DWH modeling, data quality monitoring).

Benefits

• Enjoy 5 health days to focus on your well-being.
• Take advantage of 25 paid calendar vacation days to explore, relax, and unwind.
• Get a $30 net per month sports compensation to stay active and healthy.
• Benefit from top-notch medical insurance for peace of mind.
• Indulge in a variety of snacks available in the office.
• Join us for exciting corporate events that foster team spirit and fun!