Product Analyst at Neo Group

Minsk, , Belarus -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, GA4, ClickHouse, BigQuery, A/B Testing, Looker Studio, Tableau, Data Analysis, Product Analysis, Data Visualization, Retention Analysis, Segmentation, Python, ETL/ELT

Industry

IT Services and IT Consulting

Description

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). 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). 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!

Responsibilities

The analyst will be responsible for proactively identifying growth opportunities by deeply understanding client behavior and analyzing core product funnels and metrics like registration, deposit, retention, and LTV. Key tasks include designing and monitoring A/B tests, building BI dashboards, and conducting deep-dive investigations into performance issues.