Аналитика данных вакансии - гибрид

Location: Philippines Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll own the NPV and unit economics model behind Salmon's credit card business — the core logic behind how we price, size, and monitor profitability across the portfolio. What you'll do: - Work directly with the Head of Economics to turn model logic into production-ready Python/SQL code - Build and maintain the datasets that feed the model — cohorts, cashflows, losses, funding, fees, revenue — with help from other analysts - Automate scenario and sensitivity runs so pricing, limit, and product decisions are backed by real numbers What you'll own: - Own the end-to-end NPV / unit economics model for credit cards — clean, testable, versioned logic - Validate model outputs against actual portfolio performance and investigate gaps when they don't match - Translate model logic into clear, implementation-ready specs when other teams need to build on it - Step outside your immediate scope when the work calls for it — we value ownership over rigid roles What makes you a strong fit: - 2–3+ years of hands-on experience in data analytics - Strong Python (pandas) and SQL — for data exploration and for implementing analytics logic in production - Solid understanding of unit economics / financial modeling — cashflows, NPV, cohorts — through direct modeling experience or hands-on work with such models - High attention to detail — small errors break economics in production What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you and your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000/month per child under two, USD 500/month per child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: Athens; Limassol; Nicosia Workplace: hybrid The Role:  We’re looking for an experienced Data Analyst to join our Data Science team and turn complex data into meaningful insights that drive smarter decisions. In this role, you’ll work with large and diverse datasets, uncover patterns and opportunities, and use advanced analytics to help solve real business challenges.  If you’re naturally curious, enjoy tackling complex problems, and are passionate about transforming data into actionable insights, this is an opportunity to make a real impact in a fast-paced, data-driven environment. The main responsibilities of the position include: Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics. Support the evaluation and assessment of machine learning models through data analysis and performance reporting. Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders Present insights, analysis results, and recommendations to both technical and non-technical audiences Ensure adherence to best practices in data quality, version control, and reproducible analytics Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 3 years of experience in data science including hands on experience with Data Analysis Strong programming skills in Python , with hands-on experience using Pandas, NumPy , and other data analysis libraries. Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly Hands-on experience with data visualisation and BI tools , such as Power BI. Solid understanding of statistics and data mining techniques Experience working with relational and non-relational databases Basic knowledge of Machine Learning concepts and techniques , with an interest in applying them to real-world data problems. Strong analytical and problem-solving skills , with excellent attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games. We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide. ROLE We’re looking for a Senior Data Analyst to join our Engineering & Data team. The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Design, build and monitor data models & dashboards to track business metrics - Work with cross-functional teams to identify key business needs and solve them using adequate statistical models - Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights. - Establish data quality processes to ensure the reliability and accuracy of our machine learning models. - Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support. - Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment. - Work closely with the central data team to source additional data and enhance data management practices PROFILE - At least 4 years' experience in Data Analysis - Proficient with SQL and/or Python, with a proven experience working with large and complex data sets. - Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail. - Experience with statistical modeling & predictive analytics - Excellent verbal & written communication abilities - Experience building dashboards with Tableau. - Experience in gaming industry or mobile marketing is a plus - Any personal or professional experience with machine learning will be valued OUR STACK SQL; Python; DBT; AWS; Tableau BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It’s composed of mostly senior Software Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product. ROLE We’re looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will: - Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality. - Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets. - Build data collection and transformation pipelines, and actionable dashboards. - Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts. - Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly. - Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes PROFILE - You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech industry. - You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets. - You have solid experience in ETL development. - You have solid experience with DBT. - You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments. - Advanced knowledge of statistical tools and models will be considered a significant advantage. - Development skills, particularly in Python, will be considered a significant advantage - You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results. - You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas. - A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role. OUR STACK - DBT; Tableau; SQL; Athena; Spark; Python BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Требования: - образование в профильной или смежной области - знание Python, Google Sheets, GitHub, API - опыт работы не обязателен Обязанности: - выгружать и обрабатывать данные из различных источников - разрабатывать системы автоматизации бизнес-процессов - готовить аналитические отчеты и строить выводы Условия: - стандартная пятидневная рабочая неделя с 10:00 до 19:00 - возможность удаленной работы или посещения офиса в Санкт-Петербурге - ДМС высокой категории, развитие в коллективе

Location: Almaty, Kazakhstan Workplace: hybrid ДОБРО ПОЖАЛОВАТЬ В OLX Мы создаем устойчивые экосистемы маркетплейсов, на которые ежемесячно полагаются миллионы людей, чтобы покупать и продавать автомобили, находить жилье, устраиваться на работу и торговать подержанными товарами. Это коммерция, которая имеет значение: безопасная, разумная и экологически ответственная. Мы делаем это благодаря смелости внедрять инновации, приверженности результатам, сотрудничеству представителей более 50 национальностей на 7 рынках и подходу, ориентированному на потребности клиентов, где реальные люди стоят на первом месте. Добавьте к этому стремление к победе — и вы получите культуру, которая является амбициозной, динамичной и основанной на доверии. Наши бренды, включая AutoTrader, OLX, Otomoto, Property24 и другие, любимы миллионами. А поддерживают нас Prosus, один из крупнейших технологических инвесторов в мире. Присоединяйтесь к OLX, и вы увидите, как далеко сможете зайти.   В нашей дружной команде OLX Kazakhstan открыта вакансия Дата аналитик.   Кандидат которого мы ищем будет помогать команде продаж посредством анализа поведения бизнес пользователей, формирования портфелей клиентов и ожиданий доходов от деятельности команды, будет заниматься постановкой планов, отслеживанием достижения результатов (финансовых и нефинансовых KPI), проводить анализ эффективности менеджеров команды продаж, работать над внедрением новых технологий и идей, используя огромные массивы данных. Основные обязанности: Анализ базы пользователей: поведение, сегментация, отток Анализ подходов к ценообразованию, планированию продаж и доходов Расчёт эффекта на доход при внедрении новых услуг и тарифных пакетов Построение, поддержка и развитие моделей прогнозирования доходов Проведение A/B тестов и подготовка отчётов по результатам Ведение и оптимизация регулярной аналитической отчётности в Tableau Требования: Высшее образование (экономика, финансы, математика, IT или смежные специальности) Опыт в аналитике от 3 лет Уверенное владение SQL и работа с большими объёмами данных MS Excel на уровне продвинутого пользователя Знание инструментов визуализации (Tableau) Знание статистики и опыт проведения A/B тестов Умение строить прогнозные модели и работать с коммерческими показателями Письменный английский не ниже Upper-Intermediate Опыт в e-commerce или интернет-проектах — преимущество Опыт в монетизации — преимущество Системное мышление, инициативность, высокая адаптивность Что мы предлагаем: Твой комфорт в работе - наша задача, мы предлагаем: Гибридный формат работы Медицинское страхование (пакет для тебя и членов твоей семьи) Ежегодный оплачиваемый трудовой отпуск 28 календарных дней + дополнительный отпуск в особых случаях (свадьба, рождение ребенка, переезд на новое место жительства) Компенсация спорта согласно политике Компании после успешного похождения испытательного срока Оклад + годовой бонус Западная культура работы и ведения бизнеса, работа в команде профессионалов; DEI культура, где мы создаем высокоэффективное, разнообразное, инклюзивное и аутентичное рабочее место. Внутренняя платформа, где ты можешь обучаться и развиваться (бесплатные курсы от Coursera, Harvard Business School итд) Молодая и активная команда - мы любим посмеяться, но работу воспринимаем всерьез. Присоединяйся к единомышленникам - большой и дружной команде OLX! Многообразие, равенство и инклюзивность в OLX OLX ценит многообразие и приветствует кандидатов независимо от расовой и этнической принадлежности, физических и ментальных особенностей, возраста, пола, сексуальной ориентации, вероисповедания, а также бэкграунда и профессионального опыта Если вас вдохновляет эта вакансия, мы призываем вас откликнуться, даже если вы не соответствуете всем требованиям — возможно, вы именно тот, кто идеально подойдет для этой или других наших возможностей! OLX будет обрабатывать ваши персональные данные для оценки вашего соответствия позиции, на которую вы подаетесь. Вы можете по желанию дать согласие на хранение ваших данных в течение 12 месяцев после завершения процесса отбора для рассмотрения вашей кандидатуры на будущие вакансии в OLX. Более подробную информацию о том, как будут обрабатываться данные вашей заявки, можно найти в нашей Политике о конфиденциальности.