Вакансии

Задачи: — Анализ маркетинговой эффективности по каналам, включая платное привлечение, мероприятия, продуктовый маркетинг и производительность сайта. — Создание, поддержка и улучшение дашбордов для различных маркетинговых команд (performance, продуктовый маркетинг, мероприятия, сайт). — Поддержка маркетинговых заинтересованных сторон с ад-хок анализами, расследованием метрик и отчетностью (например, объяснение падения лидов или эффективности кампаний). — Работа с воронками привлечения, маркетинговыми расходами и моделями атрибуции (включая мульти-тач атрибуцию, где применимо). — Тесное сотрудничество с аналитикой продаж и экономикой единицы для обеспечения согласованных определений, метрик и моделей данных. — Помощь в улучшении качества данных, согласовании определений метрик и снижении несоответствий в дашбордах и отчетах. — Поддержка ежедневных аналитических потребностей маркетинговых команд и вклад в долгосрочные улучшения маркетинговой аналитики. Требования: — Опыт 3–6+ лет в области аналитики данных с практическим опытом в маркетинговой аналитике. — Сильные навыки SQL обязательны. — Практические знания маркетинговых метрик, анализа эффективности кампаний, моделей атрибуции или KPI маркетинга. — Опыт создания понятных и действенных дашбордов для нетехнических заинтересованных сторон. — Сильные коммуникативные навыки и способность тесно работать с маркетинговыми заинтересованными сторонами. — Аналитический склад ума, умение исследовать проблемы, объяснять изменения метрик и превращать данные в действенные инсайты. — Приветствуется опыт работы с веб-аналитикой, моделированием атрибуции и DBT. Условия: — Удалённая работа с гибким графиком без обязательных офисных дней и трекеров посещаемости. — Дополнительные выходные: день рождения, 10 личных дней в году, 7 больничных без справок, дополнительные выходные на Рождество и Новый год. — Работа с миссией создания безопасного, доступного и инклюзивного цифрового мира. — Конкурентная и прозрачная оплата, ориентированная на рынок. — Международная команда и проекты, работающие по всему миру. — Поддержка профессионального роста, обучение и участие в профильных мероприятиях. — Командные оффсайты несколько раз в год с покрытием расходов. — Обеспечение необходимыми инструментами и оборудованием для работы. — Дружелюбная и открытая корпоративная культура. Этапы найма: скрининг рекрутера, интервью с менеджером по найму, интервью с заинтересованными сторонами, финальное интервью.

Location: Tashkent, Uzbekistan В DMED мы создаём масштабные цифровые решения в сфере здравоохранения. Мы ищем Бизнес-аналитика , который поможет глубже понимать потребности пользователей, анализировать существующие процессы и находить решения, делающие наши продукты удобнее и эффективнее. Обязанности: Сбор и анализ требований: Cбор и анализ бизнес-требований от медицинских организаций для реализации нового функционала. Проведение интервью с пользователями и заказчиками (CustDev), выявление потребностей и определение приоритетов. Анализ требований на полноту и непротиворечивость, предложение оптимальных вариантов решений. Моделирование процессов и документация: Исследование и описание текущих бизнес-процессов (AS IS), проектирование целевого состояния (TO BE). Подготовка и структурирование понятной бизнес-документации. Кросс-функциональное взаимодействие: Согласование предлагаемых решений с заказчиками совместно с системным аналитиком. Взаимодействие с командами разработки, аналитики и внедрения на всех этапах реализации задач. Requirements Опыт и компетенции: Опыт работы бизнес-аналитиком от 2 лет (или участие в проектах по анализу и описанию бизнес-процессов). Уверенное понимание подходов AS IS / TO BE, умение видеть взаимосвязи между процессами. Базовое понимание жизненного цикла разработки ПО (SDLC). Инструменты и нотации: Базовые знания UML и BPMN . Умение строить диаграммы активности (Activity Diagram) и последовательности (Sequence Diagram). Базовые навыки работы в Figma . Языковые навыки: Грамотная устная и письменная речь на русском и узбекском языках. Знание английского языка будет плюсом. Будет плюсом Опыт работы в сфере здравоохранения или медицинских информационных систем. Опыт взаимодействия с медицинскими учреждениями и понимание принципов работы государственных структур. Продуктовое мышление и опыт проектирования нового функционала. Benefits Официальное трудоустройство; Работа в развивающейся IT-компании; Молодой и дружный коллектив; График работы: пн–пт с 9:00 до 18:00. Участие в масштабных цифровых и государственных проектах. Конкурентную заработную плату. Современный офис с комфортной инфраструктурой. Простор для карьерного и профессионального роста.

Задачи: — Проектировать архитектурные решения совместно с командой; — Собирать, анализировать и согласовывать бизнес- и системные требования; — Описывать API, интеграции, процессы (UML/BPMN); — Взаимодействовать с разработчиками, архитекторами, ИБ и владельцами продукта; — Участвовать в тестировании, приемке функционала и сопровождении разработки; — Работать с Jira и Confluence, поддерживать актуальность документации. Требования: — Опыт работы системным аналитиком от 3 лет в финтехе, банках; — Английский язык на уровне B2 - C1 (обязательно для коммуникации с иностранными коллегами и клиентами); — Практический опыт работы с BPMN/UML; — Уверенный SQL (JOIN, оконные функции и др.); — Четкое понимание REST/SOAP, JSON/XML, Swagger; — Опыт работы с инструментами Jira, Confluence; — Навыки написания качественной технической документации. Плюсом будет: — Опыт в биометрии, криптографии, ЭП; — Знание и опыт работы по методологии docs-as-code. Условия: — Гибкие форматы сотрудничества (ИП или ТК РФ с прозрачными выплатами); — Удобный формат на выбор: гибрид в Москве или полноценная удалёнка по регионам РФ; — Работа в стабильном и технологичном финтех-домене над сложными задачами; — Полное отсутствие бюрократии и реальное влияние на архитектуру систем.

Обязанности: • сбор и выгрузка данных по запросу вышестоящего руководства из базы данные (SQL); • информирование сотрудников IТ-отдела о необходимости внесения изменений в программу по складским операциям или выгрузки данных из операционной БД; • ведение отчетности в Bi системе (Finebi) - если не было опыта, обучим. Требования: • образование: ИТ, математическое, техническое, экономическое; • базовое знание Exсel; • навыки чтения и анализа сложных SQL-запросов; • знание языка SQL (SELECT, INSERT, UPDATE, DELETE, JOIN, оконные функции), ClickHouse; • желание узнавать новое и развиваться. Условия: • график работы 5/2 с 8.30-до 17.30 (обговаривается); • офис в центре города; • оформление по ТК РФ (официальное трудоустройство, оплачиваемые отпуск и больничный, все прочие соц. гарантии и компенсации); • возможность посещения за счет компании групповых спортивных мероприятий; • корпоративные скидки и бонусы.

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We're Looking For:No-Code Business Analyst to join our Industries Solutions Engineering Team.In this role, you'll leverage the Creatio platform, which allows you to cover most CRM functionalities with no-code development. You will utilize these tools to create applications and conduct research to determine what is actually needed to solve real-world problems effectively.Key Responsibilities:UI Creation with No-Code Tools: Create application UIs using No-code designer tools, including a drag-and-drop interface for composing UI for pages and sections, simplifying and accelerating the development process.Server Logic Automation: Develop server logic automation using no-code business process tools, similar to a diagram constructor, to implement complex logic for applications, tailored to BPMN notation, leveraging no-code capabilities to streamline automation.Web Services Integration: Create web services for system integration using no-code tools, including designing RESTful APIs and SOAP interfaces to enable seamless data exchange, ensuring adherence to security protocols, and providing documentation for developers and third-party systems.Webhook Services Configuration: Create and configure webhook services using no-code tools to receive requests from external services, ensuring proper authentication, data handling, and logging mechanisms for secure and reliable communication.Database Design: Design database structures using Creatio Objects designer, involving defining tables, relationships, and data fields to ensure scalability, performance, and data integrity.User Story Decomposition: Decompose User Stories into executable tasks for no-code creation.Market Research: Conduct market research to generate insights on competitors, industry trends, and analytical reports (e.g., Gartner, Forrester) to identify opportunities for product improvement.Customer Feedback Gathering: Conduct interviews with end users or solution consultants to gather customer feedback and key product requirements.Collaboration with QA: Collaborate closely with Quality Assurance Engineers to ensure both manual and automated testing of created solutions, guaranteeing high-quality, robust, and reliable outcomes.Version Control: Utilize Git/SVN for version control, ensuring seamless collaboration, code integrity, and efficient management of application changesRequired Skills & Competencies:Proven experience in conducting business analysis and research tasks, including market research, competitor analysis, and gathering business requirements to shape product features.Knowledge of database management, including key principles of T-SQL, data queuing, designing relationships, view models, indexes, and understanding the fundamentals of complex selection queries such as joins and sub-selects.Solid understanding of BPMN notation principles, with the ability to model business processes accurately and efficiently.Proven experience working within software development teams or as a business analyst for IT projects, demonstrating effective collaboration skills.Hands-on experience in configuring information systems through UI-based tools, ensuring optimal user experiences.Strong general understanding of technology concepts, data structures, and integration methods to ensure seamless implementation of no-code solutions.A fast learner, capable of quickly adapting to new UI tools and technologies, with an eagerness to continuously expand your skill set.Proficiency in English, with the ability to conduct interviews and collaborate effectively with international stakeholders.Will be a plus:Demonstrated proficiency with one or more of the following platforms and tools: CRM, BPM, or No-Code Platform/System Experience.Coding skills, with the ability to understand and communicate technical concepts effectively.Proficiency with Figma or similar software for UI prototyping, creating clear and effective user interfaces that enhance the user experience.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Задачи: — Сбор сложных требований заказчиков — Проектирование интеграций в Enterprise-архитектуре — Доведение фич до продакшена без лишней бюрократии Требования: — Опыт работы от 2 лет аналитиком в области ИТ или бизнес-анализа — Опыт сбора, формализации требований заказчика и написания ТЗ на разработку ПО и веб-сервисов — Гражданство РФ и нахождение на территории РФ — Знание типов, иерархии, жизненного цикла требований и методик их выявления (User Story, CJM) — Знание нотаций моделирования процессов (BPMN, UML, EPC или других) — Опыт разработки систем с интеграциями или компонентов в Enterprise-архитектуре — SQL на уровне написания запросов с группировками, объединениями (JOIN) и вычисляемыми полями — Понимание моделей жизненного цикла ПО (Водопад, Agile/Lean — Scrum, Kanban) — Понимание процессов контроля качества и функционального тестирования (тест-кейсы, сценарии) — Опыт использования систем коллективной работы (Jira, Confluence) — Отличные Soft Skills: системное мышление, сильные коммуникации и умение достигать результата в срок Будет плюсом: — Понимание банковских бизнес-процессов — Знание специализированных инструментов моделирования (Sparx EA, Visual Paradigm, Archi и т.п.) — Опыт подготовки документации для конечных пользователей Условия: — 100% удаленный формат работы со стабильным графиком 5/2 — Конкурентный доход до 250k на руки по результатам технических интервью — Работа в стабильной и опытной компании с 20-летней историей на рынке финтеха — Крупные долгосрочные проекты, которые прокачают твою продуктовую и системную экспертизу

Location: Санкт-Петербург Команда блока «корпоративно – инвестиционный бизнес» ищет в команду кредитного специалиста. Мы работаем в сегменте крупный/средний бизнес. Обязанности * готовить заключения по сделке * анализировать финансово-хозяйственную деятельность заемщика, группы компаний * структурировать кредитные сделки * взаимодействовать с кросс-функциональными подразделениями в рамках совместных сделок * оценивать финансовые показатели при проведении кредитного анализа * готовить презентации по сделке, и защищать сделки на коллегиальном органе банка * своевременно диагностировать проблемы заемщика, работать с проблемной и просроченной задолженностью Требования * высшее образование в области: финансы, банки, экономика или бухгалтерия * опыт рассмотрения кредитных сделок (оборотное кредитование, контрактное кредитование, проектное финансирование, инвестиционное кредитование) * актуальный опыт работы в должности кредитного инспектора крупнейшего, крупного и среднего бизнеса * знание действующего законодательства РФ в части вопросов, связанных с кредитованием корпоративных клиентов * знания бухгалтерского учета и анализа финансово-хозяйственной деятельность * инструментальное владение AI для анализа, генерации и автоматизации Условия * трудоустройство согласно ТК РФ * гарантированный доход плюс премиальное вознаграждение * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * льготные условия кредитования * ДМС с первого дня и льготное страхование для близких * подписка Прайм с возможностью совместного использования на трёх близких * корпоративная пенсионная программа * обучение за счет компании: онлайн курсы в Виртуальной школе Сбера, возможность получить новую квалификацию * курсы для будущих родителей, материальная поддержка молодых мам, детский отдых и подарки за счет компании * реферальная программа для сотрудников: можно пригласить в команду знакомых профессионалов и получить вознаграждение * адрес офиса: Санкт-Петербург ул. Красного Текстильщика д.2

Location: Algiers, Algeria Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values.   About the Role: We are seeking a visionary Analytics Manager to lead and expand our analytics capabilities. This pivotal role will oversee a dynamic team of business intelligence specialists and data analysts who are responsible for delivering actionable insights across Yassir’s ecosystem. You will be a key player in shaping Yassir’s data-driven strategy, enabling business growth, improving operational efficiency, and enhancing customer satisfaction across our ride-hailing, food delivery, and financial services verticals. Key Responsibilities: Strategic Leadership: Develop and implement Yassir’s analytics strategy, ensuring alignment with business objectives across diverse markets. Build and scale a robust analytics framework to support strategic decision-making across product, operations, marketing, and finance. Team Development and Management: Lead, mentor, and inspire a team of data analysts and BI professionals, fostering a culture of collaboration and innovation. Ensure professional development and alignment of team goals with Yassir’s mission and business priorities. Establish best practices for data governance, reporting, and visualization. Insights and Decision Support: Collaborate with leadership and functional teams to translate business challenges into analytics-driven solutions. Oversee the creation of dashboards, KPIs, and ad hoc analyses to support product optimization, operational excellence, and customer retention. Drive the adoption of self-service analytics tools to democratize data access and empower stakeholders across the organization. Operational Excellence: Partner with data engineering to ensure the quality, integrity, and scalability of Yassir’s data infrastructure. Manage and prioritize analytics initiatives, ensuring timely delivery and measurable impact. What We're Looking For:

Location: Algiers, Algeria Workplace: hybrid About Yassir Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast. By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa. yassir.com About the Role Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team The Data Analytics team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Key Responsibilities Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products. Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making. Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics. Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance. Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data. Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements. Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives. Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements. Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy. Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards. Key Requirements Essential 2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases.

Задачи: — Сотрудничество с бизнес-стейкхолдерами для понимания их потребностей и требований — Анализ и документирование бизнес-процессов, рабочих процессов и функциональностей систем — Проектирование и предложение технических решений, соответствующих бизнес-целям и технологической стратегии FxPro — Разработка детальных системных спецификаций, диаграмм и блок-схем для руководства разработчиками — Тесное взаимодействие с командами разработки для контроля реализации системных решений — Обеспечение бесшовной интеграции новых систем с существующей инфраструктурой и платформами Требования: — Опыт работы системным аналитиком не менее 5 лет — Экспертиза в анализе и документировании требований для backend-сервисов — Опыт создания детальных системных спецификаций, wireframes, диаграмм и блок-схем — Владение созданием комплексной технической документации — Знание системной архитектуры — Опыт работы с RESTful APIs, GraphQL и интеграцией сторонних API — Знание отраслевых стандартов и требований регуляторов — Сильные навыки решения проблем и устранения неполадок — Отличные устные и письменные коммуникативные навыки — Способность к сотрудничеству и работе в команде — Аналитическое мышление — Адаптивность к изменяющимся бизнес-требованиям — Свободное владение английским и русским языками Желательно: — Глубокие знания торговых систем — Понимание принципов UX/UI дизайна Условия: — Отличный компенсационный пакет — Медицинская страховка — Пенсионный фонд — Собственный спортзал с персональным тренером — Бесплатное ежедневное питание, закуски и напитки — Корпоративная дисконтная карта на различные товары и услуги — 21 день ежегодного отпуска и 10 дней больничных в год — Трансфер из Лимассола — Подарок на день рождения — Бонус на релокацию и поддержка в оформлении визы/разрешения на работу

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the Role Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the team The Data Analytics team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Responsibilities Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products. Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making. Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics. Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance. Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data. Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements. Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives. Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements. Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy. Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards. Requirments Essential 2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases. Join the ride! At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. What we own The dbt transformation layer across business domains The Single Source of Truth (SSOT) for key business metrics Semantic models that enable consistent reporting and analytics Data contracts and governance standards across domains Data lineage, documentation, and discoverability Data quality, testing, and monitoring to ensure trusted data products Team Structure The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Lagos, Nigeria Data Analysis & Reporting Analyze card portfolio data to identify trends, patterns, and performance insights Prepare regular reports on key metrics such as transaction volumes, spend, and card usage Support ad-hoc data requests from business teams Dashboard Development & Maintenance Develop and maintain dashboards using tools such as Power BI or similar platforms Ensure data accuracy, consistency, and integrity across reporting outputs Automate recurring reports where possible Performance Monitoring Track key performance indicators including card issuance, activation, utilization, and revenue Highlight variances, anomalies, and areas requiring attention Support ongoing monitoring of business performance Customer & Transaction Analysis Analyze customer behavior and transaction patterns Provide insights to support business decisions and operational improvements Data Management Support Work with internal teams to ensure proper data capture and quality Assist in structuring and organizing datasets for analysis Requirements Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field 2–4 years’ experience in a Data Analyst role (preferably within banking, fintech, or payments) Strong proficiency in Excel and SQL Experience with data visualization tools (e.g., Power BI, Tableau) Ability to work with large datasets and perform data cleaning and validation

Location: IE - Dublin, Ireland Scopely is looking for a Product Analyst to join our Star Trek Fleet Command team within our Live Games Portfolio division in Dublin, on a hybrid basis. At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Star Trek Fleet Command's ongoing success goes from strength to strength. Our in-house developed 4X MMO was launched in 2018 and continues to evolve, being consistently one of the top 10 gross revenue Massive Multiplayer Strategy games on the market. What You Will Do We are looking for a Product Analyst to help evolve one of our leading game franchises at Scopely. You will join a team of Product Analysts, partnering with our game team as well as central data platform and publishing teams, using player and product insights to focus our efforts on the most impactful performance and sustainable long-term health of the game. Work across diverse teams through the full game development lifecycle, from defining goals and metrics through to monitoring and iterating actions based on live outcomes Help set the direction for new features, analysing rich and varied data sets representing the behaviour of millions of players to understand where our best opportunities exist Model and track data events, debugging and problem-solving using your mathematical and systems thinking skills to ensure the quality and utility of your findings Use SQL and Python to conduct deep-dive analyses, build robust analytical frameworks, and evaluate the impact of product launches, features, events, and live game changes on key player and business metrics Apply advanced statistical modeling, causal inference, and machine learning techniques - such as Difference-in-Differences, regression modeling, predictive modeling, and other appropriate methods - to understand whether observed changes in metrics are driven by product actions, player behavior shifts, or external factors Translate complex analytical results into clear, actionable insights for stakeholders across product, design, economy, engineering, and leadership teams Present findings to multiple disciplines, using empathy, storytelling, and influencing skills to demonstrate relevance, support decision-making, and raise the overall insight maturity of teams across the studio What We’re Looking For Successful track record in an Analyst, Data Scientist or Business Intelligence related role Strong proficiency in SQL, with experience working with large and complex datasets Strong proficiency in Python for data analysis, statistical modeling, automation, and advanced analytical workflows Experience applying statistical modeling, causal inference, experimentation, and/or machine learning methods to answer complex product or business questions Strong understanding of statistical concepts and the ability to choose the right analytical method based on the business question, data structure, and available evidence Excellent English communication skills, both written and verbal Compelling presentation skills, with the ability to distill complex analyses and technical results into clear recommendations for colleagues at all levels An independent mindset, with the ability to work autonomously, apply curiosity and rigor, and proactively identify opportunities for deeper analysis Passion for continuous learning in a highly collaborative environment Working knowledge of visualization tools and techniques is beneficial A love for, or strong desire to work with, video games About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. (Suitable candidate has to relocate to KL, Malaysia or Abu Dhabi) Job Overview We are seeking a data-driven professional with extensive hands-on experience in big data analytics to join our team. The ideal candidate will be responsible for transforming complex datasets into clear, actionable insights that drive strategic business decisions. This role requires strong technical proficiency in data analytics tools, programming languages, and visualization platforms, along with the ability to manage multiple projects in a fast-paced environment. The candidate should demonstrate exceptional problem-solving skills, analytical thinking, and the ability to deliver accurate, insightful reports that support business growth and operational efficiency. Job Responsibilities Based on business goals and business models, establish a comprehensive, accurate, and objective indicator system and monitoring and analysis framework. At the same time, based on the business monitoring and analysis framework, clearly understand the overall business situation and locate business issues; Through thematic analysis, conduct in-depth analysis of business issues, provide data support and decision-making basis for company operational decisions, marketing strategies, product directions, etc.; Precipitation analysis method and monitoring framework, extract data product requirements, collaborate with relevant teams (such as development team, product team) and promote the landing of data products; Collaborate with relevant teams to organize training and sharing of concepts, skills, methods, and tools related to data technology. Job Requirements Bachelor's degree or above in statistics, mathematics, information technology, or economics, with 3-5 years of relevant work experience; Experience in digital currency, internet, and e-commerce is preferred; Good logical analysis ability and data sensitivity, able to extract core results from massive data, timely discover and analyze deep changes and root causes behind business appearances; Proficient in data extraction tools such as SQL, proficient in operating tools such as Excel, PPT, Tableau, etc.; Strong logical thinking ability, outstanding language expression ability, proficient in independently writing business Data Analysis reports; Good business knowledge and understanding of business mechanisms and models, able to insight into business opportunities from the perspective of business development; Outstanding communication and teamwork skills, with certain XFN and cross-team project experience, able to independently promote project execution. Fluent English skills Strong adaptability and time management skills to thrive in a fast-paced work environment Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Dammam, Saudi Arabia The Senior Business Systems Analyst is responsible for analyzing, evaluating, enhancing, and supporting business systems and processes that enable asset integrity, maintenance, inspection, and operational excellence across the organization. The role serves as a key liaison between business stakeholders and technical teams, ensuring that business requirements are translated into effective system solutions that improve operational efficiency, data integrity, and decision-making. Education Bachelor’s Degree in Information Technology, Computer Science, Information Systems, or a related field. Experience Minimum 15 years of relevant experience. Minimum 5 years of experience on Saudi Aramco projects is preferred. Experience in Oil & Gas, Petrochemical, Utilities, or Industrial sectors. Mandatory Requirements SAP Strong hands-on experience in SAP Plant Maintenance (PM), including: Equipment Master Functional Locations Maintenance Planning Inspection Planning Work Order Management Experience with custom SAP developments and integrations. Strong knowledge of ABAP, OData, CDS Views, Workflow, Smart Forms, Adobe Forms, BADIs, and BAPIs. Experience with SAP Fiori/UI5, SAP BTP, and RAP developments. Data & Analytics Advanced Power BI development and reporting experience. Strong SQL skills for data extraction, validation, and reporting. Industrial Systems Experience with PI System (OSIsoft) or similar industrial data historians. Understanding of ETL processes and integration between operational and enterprise systems. Business Systems Analysis Proven experience in requirements gathering, business process analysis, solution design, testing, and system implementation. Ability to manage system enhancements, troubleshoot issues, and coordinate end-to-end resolution. Digital & Emerging Technologies Knowledge of AI/ML applications for predictive maintenance and asset integrity. Key Responsibilities Analyze business requirements and recommend system improvements and automation solutions. Support, enhance, and optimize SAP PM and related asset management systems. Develop Power BI dashboards and business reports. Coordinate with business users, IT teams, and vendors to deliver system enhancements. Lead workshops, document requirements, and support testing and deployment activities. Ensure data quality, governance, and compliance with company standards. Preferred Certifications SAP S/4HANA Asset Management (PM) SAP BTP SAP Fiori Associate Microsoft Power BI (PL-300) PMP / PRINCE2 / Agile NACE/AMPP, API 510/570/653, or ISO 55000 Skills Stakeholder Management Project Management Problem Solving & Troubleshooting Data Governance Communication & Documentation

Location: Москва, удалённая работа или гибрид, RU; Россия О команде В команду аналитики Авито Реклама ищем аналитика в направление Ad Intelligence. Для достижения этой цели команда работает над повышением эффективности запуска и показа рекламных кампаний, а также над тем, чтобы реклама органично сочеталась с основным контентом Авито и не ухудшала пользовательский опыт. Поиск баланса между рекламной нагрузкой, выручкой и удовлетворённостью пользователей — одна из ключевых точек роста бизнеса. Для этих инициатив нужна поддержка команды продуктовой и DS-аналитики, частью которой мы предлагаем вам стать. Основные продукты, с которыми предстоит работать, — внутренние алгоритмы эффективности показа рекламы: модели ранжирования, аукцион, модели предсказания вероятности целевого действия, алгоритмы распределения трат, а также ML-инструменты для рекламодателей. Какие задачи вас ждут: — развивать алгоритмы оптимизации рекламной нагрузки на пользователей Авито, искать баланс между выручкой и пользовательским опытом; — заниматься внедрением и развитием общего ранжирования рекламы и объявлений Авито; — проводить эксперименты и тестировать гипотезы по улучшению эффективности показа рекламы; — улучшать ML-алгоритмы для рекламодателей Авито: автобид, автотаргетинг, пейсинг и другие; — совместно с командой DS и продуктовой командой формировать дорожную карту и стратегию развития ML-алгоритмов в рекламе. Мы ждём, что вы: — понимаете принципы работы продуктовых ML-алгоритмов; — умеете интерпретировать результаты работы моделей и переводить их на язык продукта и бизнеса; — владеете SQL: работали с большими массивами данных, умеете писать сложные запросы, оптимизировать их и создавать аналитические витрины данных; — владеете Python и его библиотеками для обработки и анализа данных; — знаете и умеете применять математику и статистику при решении реальных задач; — имеете опыт проведения A/B-тестов; — использовали в работе BI-инструменты, например Redash; — умеете понятно визуализировать данные и презентовать результаты исследований, объяснять сложные вещи простыми словами и договариваться с коллегами; — опыт работы продуктовым аналитиком/аналитиком данных от 3 лет. Будет здорово, если вы: — знаете ML-алгоритмы и метрики в рекламе. Работа у нас — это: — возможность влиять на бизнес и развитие продукта; — интересные и разнообразные задачи: аналитики в Авито ищут точки роста бизнеса, изучают поведение пользователей, придумывают фреймворки и настраивают дашборды; — много качественных данных, мощная инфраструктура и инструменты, любое необходимое железо — всё готово для продуктивной работы; — талантливая команда, сильная аналитическая культура и сообщество профессионалов; — прозрачная система премий, достойная зарплата — размер обсудим на собеседовании; — личный бюджет на обучение, который можно тратить на книги, курсы и конференции; — расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; — сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; — корпоративный спорт: групповые тренировки, велбиинг-приложение; — спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; — компенсация питания; — удалёнка или уютный офис в двух минутах от метро «Белорусская»: панорамный вид на центр города, места для уединённой работы и зоны отдыха.

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Brief Job Description: Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment. Mission: Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster. Education: Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. Responsibilities: Define measurement frameworks and metrics with product and engineering teams. Build and maintain data pipelines, dashboards, and reports. Analyse product, behavioural, and model data to surface actionable insights. Support experiment design and A/B test analysis. Ensure data quality and consistency across sources. Qualifications & Experience: 3+ years’ experience in data analytics or a similar quantitative role. Strong SQL and proficiency in Python or R for analysis. Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar). Solid grasp of statistics and experiment design. Clear communication of findings to technical and non-technical audiences. Nice to Have (Not Obligatory): Experience with cloud data warehouses (BigQuery, Snowflake, Redshift). Familiarity with ML workflows and model evaluation metrics. Familiarity with GitLab for versioning analysis code and pipelines. Exposure to EdTech or AI products. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.