Вакансии

– Проектирование и настройка коробочной версии Битрикс24; – Курирование команды аналитиков и координация аналитических работ;

• Опыт в аналитике в геймдеве от 6–7 лет.

Senior Product Analyst (Web Analytics) / Ведущий продуктовый аналитик - развитие внутренней платформы веб-аналитики. Крупная международная iGaming-компания ищет Senior Product Analyst для развития внутренней платформы веб-аналитики и поддержки продуктовых и бизнес-команд.

Ищем человека, который говорит с бизнесом на одном языке. Того, кто видит за цифрами решение, а за решением — деньги. Того, кто не боится сказать «эта гипотеза не сработает» — и объяснить почему. Это позиция для тех, кому действительно интересно: — видеть, как гипотеза превращается в работающий продукт; — не сидеть в стороне, когда решается, каким будет следующий шаг продукта; — не просто считать, а понимать, что стоит за каждой цифрой.

Location: Москва Сбер начинает работу над квантовым компьютером и аналоговыми вычислителями. Мы предлагаем вам присоединиться к команде Центра Квантовых Технологий Сбера, чтобы решать самые интересные задачи на переднем крае науки и технологий. Сейчас мы ищем в команду главного продуктового аналитика. Первой его задачей станет всесторонний анализ рынка ускорителей для ИИ в России и за рубежом. Ему предстоит не только бизнес-анализ, но и глубокое погружение в технологии ИИ и вычислительных систем. Цель работы продуктового аналитика в ЦКТ - построение стратегии позиционирования продуктов ЦКТ с учетом их сильных и слабых сторон, запросов рынка и конкурентного анализа. Обязанности * Анализ технического и бизнес-ландшафта рынка ускорителей ИИ в России и за рубежом * Выработка системы метрик оценки потенциала новых продуктов ЦКТ * Технический анализ существующих на рынке решений – от патентов конкурирующих компаний до научных статей и техноблогов * Выработка стратегии позиционирования продуктов Центра Участие в customer development по задачам ИИ-ускорителей и квантовых вычислений внутри Банка и за его пределами * Формулировка требований к продуктовым характеристикам устройств Центра - от сертификационных требований к устройствам до UX характеристик сопутствующих софтверных библиотек * Написание кода и проведение расчетов, необходимых для подтверждения выводов исследований Требования Мы ждём, что вы: * Работали в схожей должности не менее 3 лет * Обладаете инженерным, или физико-математическим образованием * Умеете формулировать и верифицировать гипотезы с помощью написания кода и проведения научных расчетов * Прекрасно ориентируетесь в современных технологиях вычислительных систем Имеете опыт анализа рынка и cutomer development * Имеете подтвержденный опыт успешного построения стратегии вывода продукта на рынок Дополнительным плюсом будет, если вы работали в top-tier консалтинге, работали над внедрением на рынок продуктов на основе новых технологий в составе команды и хорошо знаете китайский язык. Условия * Возможность выбрать удобный график – офис или гибрид (локация: м. Тульская) * Ежегодный пересмотр зарплаты и годовая премия * Корпоративный спортзал и зоны отдыха * Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров.

LabsBoosty Labs is looking for a Business Analyst with experience in the Web3/Blockchain domain to join our team.

▪️ 5+ years of experience in a similar role, including 2 years in mobile teams. ▪️ Expertise in analyzing and documenting requirements for mobile and web applications.

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. About The Role As a Periodic Review Due Diligence Specialist, you will safeguard Checkout.com http://Checkout.com by ensuring our merchant files remain compliant to regulatory requirements and internal policies and procedures. You will conduct AML periodic and event-driven file reviews, meticulously verifying ownership structures, business activities, and transaction profiles to uphold the highest regulatory standards. This role is vital to our ongoing monitoring framework. You will assess risk ratings, manage complex case files, and engage with stakeholders to ensure every merchant profile is accurate, current, and aligned with our risk appetite. We are looking for a professional who embodies our Operating Principles: putting the customer first through rigorous quality, acting with radical ownership, and collaborating across teams to continuously refine our operational effectiveness. Key roles and responsibilities - Assess whether the merchant’s risk rating and due diligence level remain appropriate based on current information and review findings. - Complete required review actions within the relevant internal systems and tools, including Salesforce. - Manage periodic review cases from assignment through closure, ensuring statuses, sub-statuses, notes, evidence and outcomes are accurately maintained. - Raise and manage Requests for Information (RFIs) with merchants, account managers or internal stakeholders where documents or clarifications are required. - Conduct Enhanced Due Diligence (EDD) for high-risk entities, providing deep-dive analysis and clear rationales for final decisions. - Escalate cases appropriately where review findings, risk indicators or policy triggers require secondary review or approval. - Produce high-quality, audit-ready commentary and documentation that clearly supports your decision-making process. - Immediately escalate unusual or suspicious activity in line with internal reporting obligations. - Contribute to consistent decision-making, knowledge sharing and strong operational discipline across the periodic review team. Profile - Bachelor’s degree in Law, Financial Crime Compliance or a related field. Professional certifications (e.g., CAMS, ICA) are highly desirable. - Minimum of 3–5 years of progressive experience in AML/CTF, KYC/KYB, and enhanced due diligence (EDD) operations within a regulated financial services environment. - Proficient at managing competing priorities in a fast-paced operational environment and adhering to strict SLAs without compromising compliance integrity. - Strong working knowledge of due diligence requirements and the ability to interpret and apply evolving regulatory guidance. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Analyze and document business and scientific workflows involving externally licensed data Map end-to-end data flows, including data sources, databases, integrations, analytical tools, and downstream systems Gather and document business, functional, non-functional, data governance, and security requirements Work with stakeholders to define data access rules, user permissions, licensing restrictions, and entitlement requirements Assess existing authentication, authorization, and database access-control processes to identify gaps and improvement opportunities Define requirements for fine-grained data access controls, including row-level and column-level security, data masking, and policy-based access Document data lifecycle requirements, including retention, expiration, revocation, deletion, and auditability Identify dependencies and assess the impact of proposed changes on existing systems, integrations, and business processes Translate complex business and technical needs into structured documentation and prioritized requirements with acceptance criteria Collaborate with technical teams to define Proof of Concept (POC) scenarios, success criteria, and validation requirements Facilitate workshops and stakeholder discussions What we expect : Strong experience as a Business Analyst on complex data, data security, integration, or regulated-environment projects Experience working in the Life Sciences, pharmaceutical, biotechnology, or scientific research domains Strong understanding of RNA molecular biology, including gene expression, RNA processing, and regulatory mechanisms Knowledge of RNA-based technologies and their applications in clinical and laboratory diagnostics Hands-on experience gathering, analyzing, and documenting business, functional, and non-functional requirements, including data, security, and governance requirements Good understanding of relational databases, SQL concepts, data structures, schemas, and data flows Understanding of data security principles, including Identity and Access Management (IAM), authentication, authorization, user roles, and permissions Familiarity with fine-grained access-control and authentication concepts, such as row-level security, column-level security, data masking, policy-based access, and token-based authentication (e.g., OAuth, OIDC) Experience documenting data flows, data lineage, system dependencies, lifecycle and retention controls, audit requirements, and deletion obligations Ability to translate complex business, licensing, and regulatory requirements into clear, structured, and testable specifications Strong analytical thinking, problem-solving, communication, and technical writing skills Experience facilitating workshops and managing business and technical stakeholders Strong English communication skills Nice to have : Familiarity with scientific data workflows and externally licensed datasets Understanding of data licensing agreements, intellectual property protection, and data usage restrictions Experience working with enterprise data platforms, data catalogs, or data governance solutions Experience supporting Proof of Concept (POC) initiatives and evaluating technical solutions against business requirements Experience working in regulated environments with complex data security and compliance requirements Strong understanding of RNA molecular biology, including gene expression, RNA processing, and regulatory mechanisms. Knowledge of RNA-based technologies and their applications in clinical and laboratory diagnostics. Understanding of radioligand therapies, including mechanisms of action, target selection, development principles, and clinical applications. We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Collaborate with Product Managers and Delivery Leads to define, refine, and prioritize product requirements Gather, analyze, and document business requirements, user stories, acceptance criteria, and business processes Conduct stakeholder interviews, workshops, and user feedback sessions to understand business and user needs Translate requirements into well-structured Jira epics, features, user stories, and tasks Work closely with UX/UI Designers to define user journeys, personas, workflows, and usability requirements Collaborate with engineering and data teams to clarify requirements and support iterative Agile delivery Support the design and validation of AI-powered workflows, including agentic AI interactions and business processes Create and maintain product requirements, process documentation, and knowledge-base materials in Confluence Partner with QA teams to define test scenarios, acceptance criteria, and validation approaches Collect, analyze, and manage user feedback, enhancement requests, and product improvement opportunities Support product releases, user adoption, rollout, and change management activities Maintain a well-structured and prioritized product backlog in collaboration with stakeholders What we expect : 3+ years of experience as a Business Analyst working on software development or digital product delivery projects Experience working in the Life Sciences, pharmaceutical, biotechnology, healthcare, or biomedical research domains Practical experience supporting the delivery of AI-powered applications or solutions Strong understanding of Agile methodologies, including Scrum and/or Kanban. Hands-on experience with Jira and Confluence Proven experience gathering, analyzing, and documenting business requirements, user stories, and acceptance criteria Experience collaborating with cross-functional teams, including Product Management, UX/UI, Engineering, and QA Experience supporting the end-to-end software development lifecycle, from discovery and requirements gathering through testing and release Strong analytical thinking and ability to translate complex or ambiguous business needs into clear, actionable requirements Experience facilitating workshops, stakeholder interviews, and requirements review sessions Excellent communication, documentation, and stakeholder management skills Strong English communication skills Nice to have : Experience working on Agentic AI, or Generative AI (LLM-based) applications Understanding of AI concepts and technologies, including Retrieval-Augmented Generation (RAG), knowledge graphs, semantic search, and metadata management Experience delivering data-centric products, such as data catalogs, data discovery platforms, or scientific knowledge management solutions Familiarity with clinical data management concepts, including real-world data (RWD) and real-world evidence (RWE). Understanding clinical data governance, privacy regulations, and compliance requirements, including GDPR and HIPAA, in the scope of development of AI solutions. Ability to interpret and integrate molecular, clinical, and diagnostic data to support research and healthcare applications. Experience supporting multiple products or workstreams simultaneously We offer : Competitive compensation Remote work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Опыт в продуктовой аналитике от 4–6 лет, обязательно в subscription-продуктах (воронка, онбординг, пейвол, конверсия), желательно в международных мобильных и веб-приложениях в сферах EdTech, Health & Fitness, Wellness, Productivity, Consumer AI или HR-tech.

REMOTE | CROOTO Задачи: • Анализировать поведение игроков и находить точки роста для продукта. • Определять, какие данные, метрики и разрезы нужны для оценки продукта, и выстраивать систему продуктовой аналитики в компании.

Самостоятельно взаимодействовать с заказчиками: собирать, уточнять и согласовывать бизнес- и функциональные требования. Анализировать бизнес-процессы и моделировать решения.

-Собирать данные на SQL (ClickHouse — основное хранилище, есть PostgreSQL), считать продуктовые и маркетинговые метрики, строить воронки, разбираться в поведении пользователей. -Помогать маркетингу: выгрузки для партнёров, оценка окупаемости рекламных кампаний, статистика по размещениям.

Участие в исследованиях ИТ-рынка: – сбор данных, включая анкетирование и интервьюирование;

Location: Москва В команду аналитиков\\дата-инженеров Блока Финансы требуются специалисты по работе с большими данными. Мы готовим и выгружаем данные для дата-сайентистов (DS) Блока Финансы для обучения моделей машинного обучения. Как следствие, работаем по интересным задачам с широким спектром данных: розничные, корпоративные, экосистемные данные (продукты, клиенты, операции), что заметно развивает кругозор и профессиональную эрудицию наших сотрудников и делает работу интересной и насыщенной. Мы используем современный техстек, который востребован в корпоративных хранилищах и исследованиях данных: Hadoop (+ Trino, HDFSGateway), SPARK, Python, GreenPlum. Работаем в тесной кооперации с бизнес-аналитиками и дата-сайентистами, чтобы максимально быстро доставить качественные данные. Обязанности * поиск и анализ исходных данных в DWH и исходных системах Банка * разработка выгрузок (извлекающих запросов), ad-hoc запросов * работа с бизнес-заказчиками, сбор и формализация требований в бизнес-терминах * проектирование, разработка витрин и наполнение данными * оптимизация запросов. Требования * опыт SQL или SPARK API * опыт разработки сложных SQL-запросов (несколько и более таблиц >100млн строк, использование аналитических функций) * знание банковских продуктов и опыт работы с банковскими данными (физические и юридические лица) * опыт сбора и документирования требований * опыт разработки промышленных решений (документирование требований, согласование, описание архитектуры решения, постановка задачи на разработку и приемка и т.д.) * опыт работы (написание и оптимизация запросов, проектирование витрин и т.п.) на классических СУБД (Teradata, Oracle, MS SQL, My SQL, Postgre и т.п.) * опыт работы на Hadoop(Hive\\Impala) и\\или SPARK * опыт проектирования и внедрения СУБД или DWH или BI * опыт разработки отчетности. Условия * комфортный современный офис: ул. Вавилова, 19 (метро Ленинский проспект) * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте (для Junior позиций) * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. We are currently looking for a Data Analyst for Spinlab. Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. They collect and process data using advanced methods and technologies to provide their clients with clear, actionable recommendations based on real metrics. SpinLab's goal is not just to collect data but to transform it into meaningful business insights that improve efficiency and help products grow. Responsibilities: - Analyze large volumes of game and player data to identify patterns, trends, and dynamics, and turn them into clear business conclusions. - Translate findings into practical recommendations for product improvements, highlighting what works, what doesn’t, and what opportunities to explore - Perform deep-dive investigations into performance anomalies or game features to explain what happened and why - Collaborate closely with Data Scientists, Data Engineers, and Product Managers to shape hypotheses, validate them with data, and contribute hands-on to data science development tasks. - Develop robust statistical and causal inference analyses to identify drivers of user behavior. - Contribute to the development and validation of predictive models, including feature engineering, dataset preparation, model evaluation, and A/B testing, in collaboration with Data Scientists. - Communicate complex insights in a simple, compelling way to both technical and non-technical audiences. - Help define metrics for new products or features, expanding high-level requirements with your analytical thinking and product insights. - Build dashboards and reports to help stakeholders monitor key KPIs and make data-driven decisions Requirements: - Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field. - 5+ years of experience as a Data Analyst or Data Scientist, preferably in the gaming or tech industry. - Strong analytical and problem-solving mindset; ability to find the story in the data: uncovering trends and explaining them in clear business terms. - Experience working with large datasets and distributed computing tools (BigQuery, Spark, Hive, or similar). - Strong hands-on experience with SQL for complex queries and data wrangling. - Solid data visualization skills (Tableau/Power BI) and advanced Python, with practical experience using common data science libraries (e.g., pandas, scikit-learn). - Strong experience of experimental design and statistical testing (A/B testing, hypothesis testing, confidence intervals). - Working knowledge of machine learning fundamentals (supervised learning, feature engineering, training/validation, evaluation metrics) and familiarity with causal inference and uplift modeling. - Hands-on experience contributing to ML workflows or model development, with the ability to implement and test well-scoped tasks alongside Data Scientists. - Practical experience using AI coding assistants or other AI tools in day-to-day work, with a focus on automation, efficiency, and output quality. - English B2+ Will be a plus: - Knowledge of the iGaming industry or understanding of slot game mechanics - Ability to look at games from players' point of view - Product mindset: the ability to go beyond numbers and propose actionable solutions that make an impact. Benefits: - 25 working days of vacation. - 15 sick leaves. - 1 paid day off for celebrating your birthday. - Paid Ukrainian National Holidays. - Medical insurance is provided after completing the probation period (3 months from the start date). - Budget for education. - Paid for individual English classes. - Technical equipment that meets the working needs. If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: Paris, Remote Workplace: remote The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making. What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities. You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning. Within 1 month, you will: Discover 360Learning, its platform, teams, and culture Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working Understand our data models, ways of working, and self-service analytics strategy Within 3 months, you will: Build reliable, well-documented datasets and KPIs that help teams answer their own business questions Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption Within 6 months, you will: Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions The Skill Set: Strong SQL skills with the ability to write complex queries and work confidently with data. Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake. Good working knowledge of Git and version control best practices. Experience with dbt is a strong advantage. Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges. Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions. Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way. Fluent English (US/UK) / French fluent Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Senior Data Manager Case study Meeting with our Senior Data Manager and our Senior Data Analyst Clarification Meeting with our 1 Data Engineer and our Senior Data Analyst Culture Fit Meeting with our VP Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!