Продуктовый аналитик в команду монетизации

Location

Bucharest, Romania; work format and geographic restrictions are not specified.

About the company

A global data and AI trust company that helps organizations keep data and AI understood, secured, and resilient, with a focus on data resilience and data security posture management.

Headquartered in Seattle with offices in over 30 countries, it serves more than 550,000 customers worldwide.

Responsibilities

• Analyze marketing performance data to surface trends, optimization opportunities, and key drivers across acquisition, engagement, and conversion metrics.
• Build and automate an intelligent lead ingestion framework using AI-driven parsing, validation, and enrichment, with scalable pipelines and a user-friendly interface for monitoring and controlling incoming lead data.
• Write SQL and Python for data extraction, transformation, cleaning, automation, and exploratory analysis, and help maintain curated datasets, data models, and quality checks.
• Develop and maintain dashboards and recurring reports with BI tools, document data definitions and reporting logic, and partner with marketing, analytics, data science, and data engineering teams.

Requirements

• Strong working knowledge of SQL, including joins, aggregations, and data transformations.
• Basic to intermediate Python skills with data libraries such as pandas and NumPy, gained through coursework, projects, or internships.
• Exposure to Databricks, Apache Spark, or cloud-based data environments, plus experience with real-world datasets, data validation, and troubleshooting.
• Bachelor's degree in Data Analytics, Computer Science, Statistics, Business Analytics, Marketing Analytics, or a related quantitative field; internship, academic project, or research experience in data analysis is strongly preferred.
• Strong analytical and problem-solving abilities with attention to detail, curiosity and willingness to learn, the ability to explain technical findings to non-technical audiences, and the ability to manage multiple priorities in Jira or similar tools while working independently.

Ищу сильных продуктовых аналитиков уровня middle/senior в команду аналитики социальной коммерции во ВКонтакте.

Социальная коммерция — новое быстрорастущее бизнес‑направление во ВКонтакте, которое даёт селлерам возможность продвигать свои товары через контент блогеров в разных форматах и покупателям возможность найти интересные, подходящие для них, товары. Один из продуктов направления — лента шопсов, которая имеет многомиллионную аудиторию.

Команда работает над оптимизацией воронки от просмотра контента до покупки, решая продуктовые и исследовательские задачи.

Какими задачами будет заниматься аналитик:

- A/B‑тесты — продуктовые и для развития метрик рекомендательной системы контента соцкома;

- Исследовательские задачи. Из примеров: какие триггеры приводят к прерванию сессии в ленте шопсов и как прогреть пользователей, чтобы они перешли из сегмента смотрящих в сегмент покупающих;

- Отчётность — создание аналитических витрин и дашбордов;

- ad‑hoc‑задачи — их, правда, мало.

Если вас заинтересовала вакансия, напишите HR в Telegram: Eugenia_m

Убедитесь до этого, что вы:

- Сильный целеустремлённый аналитик, которому интересно самому заниматься задачами выше;

- Хорошо владеете SQL, Python;

- Хотите быть полноценным партнёром продакт‑менеджеров в развитии продукта;

- Относитесь к сложным задачам как к интересному вызову и получаете удовольствие от их решения.

Жду вас в моей команде!

Location

Tallinn, Estonia; hybrid format with at least 12 in-office days per month; fixed-term contract covering parental leave.

About the company

A global mobility platform operating in 50 countries, serving over 200 million customers and 4.5 million driver and courier partners across ride-hailing, food delivery, scooters, e-bikes and car-sharing.

Work is organised in small, autonomous product teams that combine startup speed with the scale of a major technology company.

Responsibilities

• Explore user behaviour and marketplace dynamics to uncover new product opportunities
• Support new products and features end to end, from validation and design through experimentation, rollout and iteration
• Design and run A/B tests, analyse results, drive action and enforce best practices across teams
• Define actionable metrics and build analytical solutions and self-service data products
• Collaborate closely with Product Managers, Engineers and UX designers on roadmap priorities and execution

Requirements

• BS in Economics, Data Science, Statistics, Computer Science, Mathematics, Information Management or a similar field
• Proven experience with causal inference, including independently designing and analysing product A/B tests
• Significant experience working with large data volumes, strong SQL skills and proficiency in Python or R
• Experience with BI and data visualisation tools; fluent English with outstanding written and verbal communication