Аналитик данных

Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.

Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.

We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.

We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

We are looking for a Lead Marketing Analyst.

           Your main tasks will be:

• Owning marketing analytics processes, reporting frameworks, dashboards, and data quality standards to ensure reliable and actionable insights across the organization;
• Monitoring key marketing and business performance metrics, identifying growth opportunities and performance issues, conducting root cause analysis, and providing data-driven recommendations;
• Designing, prioritizing, and evaluating marketing experiments and A/B tests to optimize acquisition, retention, engagement, and overall marketing efficiency;
• Developing, maintaining, and improving analytical and predictive models used in marketing decision-making, including attribution, forecasting, segmentation, and budget allocation models;
• Driving continuous improvement initiatives by identifying optimization opportunities, automating analytical workflows, and implementing best practices in marketing measurement and analytics.
  
  We expect from you:
• Higher education in a technical, mathematical, or economics-related field;
• Strong proficiency in SQL;
  



• 
  Advanced Google Sheets skills, including confident use of pivot tables;
  


• 
  Strong knowledge of statistics and A/B testing methodologies;
  


• 
  Hands-on experience in marketing analytics and predictive modeling;
  


• 
  English proficiency at B2 level or higher.
  

           Nice to have:

• 
  Experience with Python or R for data analysis and statistical modeling;
  


• 
  Experience building automated reporting and analytics workflows;
  


• 
  Experience with marketing experimentation frameworks and incrementality measurement;
  


• 
  Experience working with attribution models, paid acquisition channels, and advertising platforms (e.g. Google Ads, Meta Ads).
  
  What do we offer:
  

• REMOTE OPPORTUNITY to work full time;
• 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;
• Full payment for professional training, international conferences and meetings;
• Corporate discount for English lessons;
• ​Health benefits. If you are not eligible for Corporate Medical Insurance, the company will compensate up to $1000 gross per year per employee according to the paychecks. 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 the locations where we have offices or co-working. 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 time off, merch, team building activities, massage certificates, etc. 
  Sounds good? Join us now!
  
  The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

JoomPulse is an AI analytics tool for Mercado Livre and Shopee sellers, providing insights into the most profitable products and fastest-growing categories — helping sellers boost their profits with data-driven decisions.

JoomPulse is one of the key businesses of Joom Group, an international tech-centric group of e-commerce companies that was founded in 2016 in Latvia. Joom Group also includes the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products.

Currently, we are looking for an Senior Product Analyst. The JoomPulse Product Analyst owns the three things that decide whether the product grows:

• The quality of the data on the platform
• The product analytics that tell us whether new features and new data actually move conversion and retention
• The market analysis that turns our marketplace data into insight for large corporate data clients and for the press

This person makes sure we can trust our own data, makes sure every significant feature and data release is measured against its real effect on conversion and retention, and packages our marketplace data into external-facing market analysis (category trends, pricing, market dynamics) that lands with corporate clients and journalists.

Responsibilities

• Transform imperfect data into clear, actionable insights that drive decisions
• Conduct product research (identify growth opportunities, answer high-level questions, and formulate hypotheses for the team)
• Analyze user behavior patterns and independently uncover insights that are meaningful for the product
• Influence goal setting and project prioritization within the team based on data
• Develop self-service capabilities in the domain (structure data to make it easily usable by AI tools, and automate routine analysis so the team can independently answer basic questions)
• Identifying growth opportunities for the product, analysis and sales forecasting, including identifying seasonality and trends

Requirements

• 5+ years of experience in data analysis
• Ability to write complex SQL queries (complex joins, window functions, CTEs, query optimization)
• Product-analytics depth (retention (paid & usage), cohort analysis, funnels, activation, ARPU/LTV, engagement)
• Knowledge of mathematical statistics and practical experience applying it
• Hands-on with a cloud warehouse (BigQuery or equivalent)
• BI and data storytelling (builds and maintains dashboards (Metabase / Looker Studio or equivalent))
• Skill in selecting appropriate data evaluation methods: analytics, research, or using external data
• Ability to tackle complex problems in situations with incomplete data
• Attention to detail and ability to see tasks through to completion

Preferred

• Built a data-quality or data-observability system from scratch and owned it
• Owned product analytics on a data / analytics product specifically
• Python (pandas / numpy) for analysis and automation and PySpark / big-data processing for the more technical work
• B2B SaaS experience
• Experience in marketplace analytics and deep understanding of marketplaces base metrics and ranking algorithms

We offer

• Compensation package: base salary and performance-based bonuses
• Office-first: flexible hours with a possibility to work remotely 52 days per year, and 22 days of paid annual leave
• Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
• AI-first approach: licenses and access to a wide range of AI tools
• Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses
• Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work

Before applying for the above position please review our Candidate Privacy Notice here. By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Обязанности:

• Анализ эффективности рекламных кампаний в рамках Retail (анализ товарных полок (offline), SKU по брендам в торговых точках, анализ промо-акций);
• Посткампейн аналитика: сбор и обработка данных после завершения кампаний, выявление инсайтов и подготовка выводов;
• Регулярное формирование отчётов и дашбордов с ключевыми показателями эффективности (KPI), для внутренних команд и клиентов;
• Разработка и внедрение метрик для оценки рекламной кампании;
• Прогнозирование результатов будущих кампаний и оценка потенциальной окупаемости;
• Мониторинг конкурентной среды: отслеживание и анализ рекламных активностей конкурентов в ритейле, выявление трендов и точек роста;
• Взаимодействие с клиентскими менеджерами для передачи аналитических выводов и рекомендаций;
• Подготовка презентаций, обоснование цифр и результатов рекламных кампаний для менеджмента и ключевых клиентов.

Требования:

• Опыт работы на аналогичной позиции «Аналитик» в сетях или агентствах (retail), от 3-х лет;
• Продвинутые навыки работы с данными: SQL, Excel, BI-инструменты (Power BI, Tableau, Looker и др.);
• Опыт визуализации данных и построения дашбордов для разных заинтересованных сторон;
• Умение делать аналитику доступной: объяснять сложные данные простыми словами, готовить отчёты и презентации;
• Аналитическое мышление, структурированность, внимание к деталям;
• Проактивность: искать инсайты и предлагать оптимизации;
• Опыт работы с ритейл-данными (продажи, товарные категории, кампании внутри ритейла);
• Опыт взаимодействия с командой in house и внешними клиентами, умение аргументировать выводы цифрами.

• Офис: м. Сухаревская (3 минуты от метро) или м. Цветной Бульвар (7 минут от метро);
• График работы: 5/2 (Суб./Вскр. - выходные), с 10:30 до 19:00;
• Одина день на выбор - home office;
• Оформление по ТК РФ;
• Оплачиваемая мобильная связь;
• Заработная плата: размер компенсации обсуждается с успешным кандидатом на собеседовании;
• Оплачиваемые занятия спортом (стретчинг, пилатес, танцы, йога);
• Работа в молодом дружном коллективе.
  
  В сопроводительном письме просим указать уровень желаемой заработной платы.
  Будем рады знакомству с Вами!