Product Analytics Team Lead / Руководитель продуктовой аналитики

• Работать как playing coach: лично вести продуктовую и маркетинговую аналитику + управлять небольшой командой.
• Разбираться в причинах изменений продуктовых и бизнес-метрик, глубоко анализировать поведение пользователей, воронки и когорты.
• Вести эксперименты: A/B-тесты, CUPED/CUPAC, proxy-метрики, оценка влияния на бизнес.
• Оценивать ожидаемый и фактический импакт продуктовых и маркетинговых инициатив.
• Руководить аналитиками: цели, развитие, качество аналитики, регулярные 1:1.
• Быть владельцем аналитической инфраструктуры: метрики, dashboards, стандарты, качество данных.
• Развивать маркетинговую аналитику (LTV, CAC, атрибуция, воронки).
• Работать со стейкхолдерами: продукт, маркетинг, лидеры направлений.

• Product thinking + systems thinking — видение продукта как целостной системы.
• Сильное критическое мышление: проверка гипотез, валидация данных, работа с неопределённостью
• Умение ясно объяснять сложную аналитику и формировать чёткие рекомендации.
• Владение Python и SQL, уверенный опыт экспериментов.
• Опыт управления командой от 1 года.
• Уровень английского — B2+ (команда англоязычная).
• Готовность работать с 9:00 до 18:00 в диапазоне GMT+4–GMT+10.

• Act as a playing coach: personally contribute to product and marketing analytics while leading the team
• Identify root causes of changes in product, marketing, and business KPIs
• Drive deep user behavior analysis, funnel analysis, and cohort analysis to support product decisions
• Lead design, evaluation, and interpretation of experiments (A/B testing, CUPED/CUPAC, proxy metrics)
• Assess and quantify the expected and actual business impact of product and marketing initiatives
• Partner closely with Product, Marketing, and Growth teams to support product strategy and roadmap decisions

• Lead, mentor, and develop a team of product analysts (2 analysts + functional DE support)
• Set clear goals, expectations, and development plans for team members
• Ensure high quality of analytical outputs, insights, and recommendations
• Conduct regular 1-1s, performance reviews, and competency development
• Foster a strong data-driven culture and analytical mindset across the product organization

• Own and prioritize the analytics and data infrastructure backlog together with Data Engineering
• Translate business and product needs into analytical and data platform requirements
• Act as analytics owner for the core data platform and migration initiatives
• Ensure data quality, metric consistency, and scalability of analytics solutions
• Define and maintain standards for metrics, dashboards, experimentation, and analytical processes

• Build and scale a systematic marketing analytics framework (LTV, CAC, attribution, funnels)
• Ensure reliability and consistency of marketing signals used for decision-making
• Partner with Marketing and Growth teams to improve performance measurement and optimization
• Develop fast feedback loops and proxy metrics to accelerate learning and decision-making

• Serve as the main analytics partner for Product, Marketing, and key business stakeholders
• Proactively communicate insights, risks, and opportunities to leadership
• Translate complex analytical findings into clear, actionable recommendations
• Balance short-term business needs with long-term analytics strategy and platform development

• Product thinking: think about the product through user behavior and metrics, understand what users actually do behind the numbers, and how metrics reflect product value
• Systems thinking: able to think both top-down and bottom-up, see the product, analytics, and data platform as a single system
• Critical thinking: question data, assumptions, and conclusions; validate insights through cross-checks and alternative hypotheses

• Use data-driven storytelling and references to support arguments
• Explain complex analytical concepts in clear and simple language
• Provide structured conclusions with clear recommendations and impact assessment
• Effectively collaborate with stakeholders and confidently present and defend analytical results
• Ownership and independence: proactively identify problems and growth opportunities without waiting for the task
• English proficiency: Upper-intermediate (B2) or higher level of English (this is an English speaking team)
• Python, SQL.
• Ability to work 9:00 - 18:00 (between GMT+4-GMT+10 timezone)

• Vacation 28 calendar days per year;
• 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
• Bonuses up to $5000 for recommending successful applicants for positions in the company;
• 50% payment for professional training, international conferences and meetings;
• Corporate discount for English lessons;
• Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
• Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
• Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.

• TOP/Head of Department - $5,000
• Team Lead - $3,000
• Senior/Middle IT Specialist - $1,500
• Non-IT Senior Specialist - $1,000
• Non-IT Middle Specialist - $750
• Non-IT Junior Specialist - $300

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