Вакансии

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.

Требования: 4–6+ лет в продуктовой аналитике, обязательно в subscription-продуктах (воронка, онбординг, пейвол, конверсия). Опыт изменения решений по продукту с помощью данных.

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.

Фокус роли - разобраться, как устроены рабочие процессы компании, найти, что можно упростить или улучшить, и предложить варианты автоматизации. - разбираться, как устроены процессы в разных подразделениях компании.

Ищем Product Analyst в AI-продукт по подписочной модели — сервис для общения с AI-персонажами. Нам нужен аналитик, который поможет развивать продуктовую и маркетинговую аналитику, находить точки роста и превращать данные в решения, влияющие на retention, монетизацию и прибыльность продукта.

Разработка дашбордов и алертов, включая рефакторинг и оптимизацию.

Участвовать в проектах внедрения систем 1С на крупных и средних предприятиях страны, в качестве аналитика-консультанта по блоку "Регламентированный учет". - Определять требования и анализировать бизнес-процессы Заказчиков;

— Важен опыт с интеграцией МИС (идеально, если есть опыт с МИС Диалог). — Важен опыт с интеграцией Яндекс Доставка.

Location: Тула Команда продукта «SmartSupport.UAI» работает для 200 тысяч сотрудников Сбера и занимается разработкой удобных и комфортных инструментов ИТ-поддержки. Наши сервисы направлены на поддержку и решение проблем пользователей с оборудованием (ПК/ноутбук, мобильные устройства, принтера, ВАРМ и т.д), а также решением проблем с программным обеспечением на этом оборудовании. Сейчас мы активно внедряем AI-агентов в процессы онлайн и оффлайн поддержки, которые позволяют нативным и более быстрым образом решить проблему или вопрос клиента. Обязанности * сбор, анализ и систематизация бизнес-требований, генерация идей, предложение решений с учётом принятых ограничений * согласование бизнес-требований с заказчиками и аналитиками от смежных команд * прорабатывать сценарии взаимодействия пользователей с продуктом. * выявлять боли и потребности пользователей * формулировать требования по доработке продукта и интеграции с другими продуктами, участвовать в тестировании и приемке * участвовать в проведении клиентских исследований, изучать и собирать информацию о процессе/продукте, готовить глубинную аналитику по продукту * участвовать в формировании, расчете метрик и целевых показателей продукта и клиентских путей. Требования * высшее экономическое/техническое/математическое образование. * опыт работы в должности бизнес-аналитика или технического писателя от 1 года * опыт работы в agile-команде * опыт описания бизнес-процессов: Visio, ARIS, Draw.io и др. * опыт сбора бизнес, функциональных и нефункциональных требований к продукту * опыт в проведении приемки реализованного функционала и организации тестирования * навыки в создании наглядных и информативных отчетов/таблиц в Excel. **Будет дополнительным плюсом:** * знание различных нотаций описания процессов (UML, IDEF, BPMN и т. д.); * опыт работы с Confluence, Jira * продвинутый SQL * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов * инструментальное владение AI для анализа, генерации и автоматизации. Условия * комфортный современный офис * возможность выбрать удобный график – офис/гибрид * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации IT Bootcamp * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * ипотека для сотрудников выгоднее до 4% * подписка Прайм с возможностью совместного использования на трёх близких.

-Участие в сложных проектах комплексной автоматизации предприятий. -Знаете, как проводить интервьюирование заказчика, структурировать полученную информацию при описании текущих бизнес-процессов компании.

2+ года в аналитике. Будет плюсом опыт в риске, антифроде или расследованиях, сильный SQL и Python.

4–6+ лет в продуктовой аналитике subscription-продуктов (воронка, онбординг, пейвол, конверсия). Важен опыт в международных мобильных и веб-продуктов в edtech, health & fitness, wellness, productivity, consumer AI или HR-tech (Duolingo, Skyeng, Praktika, Headspace, Calm, Flo, BetterMe, Simple и аналогичные).