Вакансии

Опыт системным аналитиком от 4 лет.

Опыт работы бизнес-аналитиком от 4 лет.

Опыт работы: от 3–4 лет в роли аналитика 1С на проектах внедрения или развития 1С:ERP УХ. Знание целевых контуров: глубокое понимание методологии и настроек подсистем «Управление складом и запасами» и «Управление продажами».

- помощь команде в планировании и реализации перехода с OpenText на LDM. Нужна помощь с интеграциями, чтоб помогли с форматом миграции, как раскладывать данные с интеграциями в ЛДМ.

- Design business processes, workflows, and system requirements for an HMS platform. - Collaborate with developers and stakeholders.

- Сбор и анализ требований, интервьюирование бизнес-пользователей; - Моделирование целевых процессов в 1С ERP и WMS;

Основные задачи Работа с исходными данными: принимать недельные и месячные полевые отчёты, проверять их полноту и корректность. Вести справочники проекта: реестр торговых точек, адресную программу, ассортиментную матрицу по сетям.

Location: Москва Мы — ищем опытного системного-аналитика в ИТ в Дирекцию корпоративного страхования. Основное направление - запуск страховых продуктов. Обязанности * Проектирование процессов и реализация страховых продуктов в системах Сбербанк Страхования; * Проектирование интеграций; * Управление изменениями требований к продукту и поддержка требований в актуальном состоянии в рамках реализуемых проектов и задач; * Согласование компонентов системы и взаимодействие с другими участниками процесса разработки; * Активное участие в принятии продуктовых и технических решений. Требования * Опыт работы системным аналитиком или ИТ-аналитиком от 3 лет; * Знание SQL, навыки написания запросов на получение и изменение данных; * Навыки проектирования процессов; * Навыки проектирования моделей предметной области; * Навыки проектирования структур данных; * Владение нотациями BPMN, UML; * Опыт проектирования приложений клиент-серверной и микросервисной архитектуры; * Опыт проектирования интеграций: брокеры сообщений. REST; * Опыт проектирования требований (ТЗ / функциональные требования / системные требования / пользовательские истории / use-case’ы) * Навыки работы с генеративными AI-моделями; опыт создания AI-агентов и использования их в работе будет преимуществом. * Опыт работы в страховании будет преимуществом. * Опыт командной работы с использованием Confluence, Jira. Условия * Гибридный формат работы (современный офис в Москве на метро Проспект Мира); * Льготные ипотечные условия кредитования; * Подписка Прайм с возможностью совместного использования на трёх близких, скидки на продукты компаний-партнеров: Okko, Сбер Маркет, Delivery Club, Самокат, Ситимобил, Сбер Еаптека и другие; * ДМС с первого дня и скидки на страхование для близких; * Корпоративная пенсионная программа; * Детский отдых и подарки за счет Компании; * Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификации.

Location: Worldwide Workplace: remote Responsibilities:Collaborate closely with stakeholders to define product vision, strategy, and roadmap for admin panel development;Gather and prioritize requirements across multiple business domains, ensuring alignment with internal processes and goals;Translate stakeholder needs into clear user stories, acceptance criteria, and other product documentation;Work closely with the development team to ensure timely delivery of new features and enhancements;Conduct regular reviews and demos with stakeholders to gather feedback and validate progress;Act as a liaison between technical teams and various departments to ensure clear communication and shared understanding of requirements;Continuously prioritize and refine the product backlog based on feedback, dependencies, and evolving business needs;Support the development team in resolving blockers and ensuring smooth delivery;Actively participate in sprint planning, retrospectives, and other Agile ceremonies to drive continuous improvement and delivery excellence.Requirements:4+ years as a Business Analyst/Product Owner or similar;Strong analytical and problem-solving skills to understand complex business processes, identify issues, and propose effective solutions;Strong verbal and written communication skills to collaborate with software developers and other team members, and to extract relevant information for document creation;Ability to manage multiple stakeholder groups simultaneously;Ability to elicit, document, and manage functional and non-functional requirements;Knowledge of UML and BPMN notations;Good understanding of the Software Development Life Cycle (SDLC);Strong decomposition skills;Good knowledge of Atlassian Suite (Jira and Confluence);Experience in wireframing using Miro, draw.io, Balsamiq, or similar tools;Possession of a structured, process- and result-oriented approach, a practical way to solve problems.Nice to have:Experience in iGaming or Fintech domains;Experience working with complex admin panels or multi-department internal systems.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

-собирать и анализировать функциональные и нефункциональные требования от стейкхолдеров. -заниматься техническим проектированием: описывать задачи, сценарии использования продукта, оценивать трудоемкость выполнения работ.

Location: Ростов-на-Дону Команда внутреннего аудита анализирует внутренние процессы компании и помогает Сберу стать лучше. Ищем в команду Data-аналитиков для реализации проектов по направлению аудита операций на финансовых рынках. Вакансия для специалистов, которые хотят построить карьеру и развиваться в одной из крупнейших технологических компаний. Обязанности Участие в проверках бизнес-процессов подразделений Банка, в т.ч.: * разработка и внедрение автоматизированных решений для повышения эффективности внутренней работы команды, упрощение типичных задач через применение технологий Python, SQL и других инструментальных средств * подготовка к проверке (анализ данных, нормативных документов и требований законодательства). Требования * высшее образование (прикладная математика / физико-математическое) * базовые знания SQL (JOIN, агрегации, оконные функции) * навыки обработки и анализа данных на Python + Pandas (очистка, группировка, слияние таблиц) * развитое алгоритмическое мышление, умением разбивать задачи на шаги и работать со структурами данными * умение работать в сжатые сроки и приоритизировать задачи в условиях дедлайнов. Условия * работа в крупнейшем банке России, в комфортном офисе в центре г. Ростова-на-Дону (ул. Текучева, 139/94), без взаимодействия с клиентами и выездов. Полный рабочий день, без совмещений * возможность карьерного роста * 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 до 100 тыс. рублей. Присоединяйся к команде Сбера!

Location: Belgrade; Limassol Workplace: onsite About Unlimit Unlimit is the global financial infrastructure for the borderless agentic economy. Designed to bridge the gap between fragmented local markets and the future of autonomous commerce, Unlimit provides the programmable operating layer for the world’s most ambitious businesses. Through an integrated technology stack, the platform unifies global payment acceptance, programmable financial accounts, and digital asset rails into a singular financial layer. By mapping hyper-local payment ecosystems directly into its architecture, Unlimit enables businesses to move value and settle transactions instantly across continents. Built on decades of hard-won regulatory depth and an extensive global license portfolio, the platform provides direct access to a massive global infrastructure. With major hubs in London, San Francisco, Singapore, São Paulo, and Mexico City, Unlimit is building the infrastructure that makes global expansion a matter of code, not geography. Why this role is different A real start in payments, basic experience is needed. You’ll learn Visa and Mastercard rules from the inside, with proper onboarding and a team that wants you to grow. Coming from fraud, KYC/KYB, AML, compliance, or banking operations? Your background is an advantage here. Real scale. You’ll work with a diverse merchant portfolio, across regions and card schemes. Textbook rules don’t always fit, so you’ll learn to think, not just follow a checklist. Your work has a direct impact. Every case you win is revenue protected for our merchants, and every pattern you spot helps us prevent the next dispute. AI is part of the plan. Unlimit is moving toward AI-native financial infrastructure. You’ll see how automation works in risk and have a say in making it smarter. What you’ll own Visa and Mastercard disputes and chargebacks. You handle them within acquiring operations, from the first notification to the final outcome. The full case lifecycle. You decide what to contest, what to accept, and why. Evidence that wins. You collect, review, and prepare supporting documentation that makes the difference. Representments. You prepare and submit strong, well-argued chargeback responses. Deadlines and compliance. You stay on top of card scheme timelines and rules, so nothing is ever missed. Communication. You work directly with merchants and internal teams to get cases resolved. Data you can trust. You keep accurate dispute records and reporting, so the team always sees the real picture. What we Offer Attractive monthly salary paid in line with experience Paid annual and sick leave, flexible time off Full-time in Belgrade office, 5/2 Employee referral bonus program - refer top talent you know and collect bonuses when they get hired Corporate events to share valuable moments of joy with your team Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Выяснять потребности бизнес-заказчиков и анализировать текущие процессы.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Canada; Brazil Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Обязанности: анализ эффективности платного трафика, инфлюенсеров и органики; проверка гипотез роста;

Задачи: — Анализ бизнес-данных из различных источников

Ищу сильного специалиста уровня Senior/Lead для построения аналитической инфраструктуры с нуля. • 6+ лет опыта в Data Analytics, Analytics Engineering или BI Architecture.