Вакансии

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. An Analyst II within the Risk Monitoring Team is responsible for independently managing high-priority and complex investigations in line with relevant policies and processes, supporting the risk assessment and monitoring of our global e-commerce merchants’ portfolio. In this role, you will review alerts generated by our in-house monitoring tools, conduct detailed quantitative and qualitative analyses, exercise sound risk-based judgement, and make informed decisions and well-reasoned recommendations. You will liaise with internal and external stakeholders, clearly communicate the results of your findings, and accurately document investigations in our case management tool. Through your reviews, you will identify potentially fraudulent or high-risk merchants, as well as genuine merchants who may be victims of fraud, and recommend appropriate actions to mitigate risk in both scenarios. What your responsibilities will be: - Demonstrate a proficient understanding of acquiring risk and maintain an in-depth working knowledge of card schemes’ rules. - Conduct comprehensive background checks on merchants and perform in-depth analysis and risk investigations using multiple internal and external resources, with a focus on high-priority and complex cases. - Complete complex tasks and milestones within tactical initiatives, special projects, and process-improvement activities. - Assist with quality assurance and mentor Analyst I colleagues by providing guidance and support, particularly on complex investigations. - Educate merchants and relevant stakeholders on fraud and dispute-management practices to support effective risk mitigation. - Create and communicate clear reports to relevant stakeholders on merchant risk concerns, investigation outcomes, and recommended actions. - Use AI tools effectively and responsibly to support research, analysis, documentation, and operational efficiency, while applying appropriate human judgement and oversight. - Suggest innovative ideas and provide feedback to enhance processes, controls, tools, and infrastructure, striving for continuous improvement in risk-monitoring operations. What you will need to be successful (skills and competencies) - Bachelor’s degree, preferably in Risk, Management, Finance, Business, Mathematics, Economics, or a related field, with a minimum of three years of experience in a similar role. - Demonstrable knowledge or experience in the payment processing industry, e-commerce, acquiring risk, fraud and dispute management, and card schemes’ rules. - Proficient in managing structured processes and consistently identifying opportunities to streamline approaches and improve operational efficiency. - Exceptional analytical, critical-thinking, problem-solving, and decision-making skills, with the ability to make informed, risk-based decisions in complex and time-sensitive situations. - Skilled at working collaboratively and communicating effectively, with the ability to positively influence stakeholders across various departments. - Capable of adapting to fast-paced and agile settings while managing demanding timelines, priorities, and schedules. - Proficient in English; additional fluency in French is a plus. - Demonstrates acute attention to detail, strong organisational skills, and effective time management. - Strong mentoring and training abilities, with the confidence to guide and support less experienced analysts. - AI fluent, with the ability to evaluate AI-generated outputs critically and use AI tools effectively and responsibly in risk-monitoring activities. Experience you will bring to the role: - As an Analyst II, you are expected to bring your experience in performing relevant analyses and conducting investigations for suspected fraudulent merchants and action flags in a timely manner. - You should possess strong verbal and written communication skills to document and articulate the requirements, analysis and recommendations in a clear and concise manner to the stakeholders and customers. - You must have a solution-driven approach with exemplary investigative and critical thinking skills. - You must also be detail-oriented, capable of multitasking, working independently with little supervision, and possessing good decision-making, time management, and organizational skills. - You will assist in mentoring and guiding junior analysts, ensuring knowledge transfer and skill development. You should also possess the ability to escalate and resolve complex issues and questions, serving as a primary point of contact for such matters. - You should demonstrate proven ability to assist in projects and collaborate effectively with cross-functional teams. 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/

Location: IND - Mumbai About Monster Energy: Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A Day in the Life: As a Service Desk Analyst , you'll power the business by delivering fast, reliable IT support through phone, Microsoft Teams, email, and ServiceNow. You'll take ownership of troubleshooting and resolving hardware, software, account access, and mobile device issues, partnering with Desktop Support, global IT teams, and external vendors to drive solutions when escalation is needed. You'll support users primarily in English while assisting a diverse global workforce, maintain accurate ticket documentation, contribute to our knowledge base, and ensure issues are resolved within SLA commitments. Success in this role means combining technical expertise, a customer-first mindset, and a relentless focus on keeping our teams connected and productive. The Impact You'll Make: Serve as the first point of contact for Monster Energy employees across APAC, handling technical support requests by phone, Microsoft Teams, email and the ServiceNow self-service portal. Log, categorize, prioritize and track all incidents and service requests in ServiceNow, and monitor the queue so tickets are resolved and closed within SLA with clear troubleshooting and resolution notes. Diagnose and resolve hardware, software and connectivity issues remotely using remote support tools, and provide walk-up support at the India office in partnership with local Desktop Support. Support Microsoft 365 applications, including Outlook, Teams, OneDrive, SharePoint and the Office apps. Manage user accounts, group memberships and password resets in Active Directory and Microsoft Entra ID, including Multi-Factor Authentication (MFA) and self-service password reset support. Enroll, configure and troubleshoot Windows, macOS and iOS devices in Microsoft Intune, including app deployment, compliance policies and remote lock, wipe. Support remote onboarding and offboarding, including account provisioning, access requests, and coordinating equipment logistics with local offices and vendors, and keep asset and software license records in ServiceNow accurate. Identify and escalate major incidents under incident management procedures, route issues with complete information to the right resolver groups (Desktop Support, Infrastructure, Applications, Security), and work with APAC vendors such as wireless carriers and hardware providers to resolve issues. Create and maintain ServiceNow knowledge base articles in English and, where appropriate, Hindi; guide users to self-service solutions; provide basic end-user training; and tell APAC users about relevant system changes. Provide follow-the-sun coverage by giving clear shift handoffs to the Americas and EMEA Service Desk teams, work flexible schedules that include occasional after-hours or weekend support for critical issues, and follow IT, security and local data privacy policies. Who You Are: Prefer a Bachelor's Degree in the field of -- Information Systems, Computer Science, or a related field Flexible to work 6:30 AM to 3:30 PM IST, Monday through Friday, ensuring seamless support coverage across multiple time zones and maintaining service availability during designated support hours. Additional Experience Desired: Minimum 1 year of experience in an IT help desk role using a ticketing system Additional Experience Desired: Between 1-3 years of experience in supporting users in multiple countries Computer Skills Desired: Windows and Microsoft 365 in an enterprise environment. Active Directory and ITIL-based processes (incident, request, and problem management), ServiceNow ITSM Preferred Certifications: CompTIA A+, ITIL 4 Foundation, and/or Microsoft certifications (e.g., Microsoft 365 Certified: Endpoint Administrator Associate) preferred Additional Knowledge or Skills to be Successful in this role: Fluent in English and Hindi, both written and spoken Read our privacy policy here: Privacy Policy

We are looking for a Middle Project Manager / Business Analyst to improve and support knowledge management, onboarding, learning, and operational processes within our Creative Team. This role goes beyond collecting requirements or maintaining documentation. We are looking for someone who can understand how processes work end to end, identify opportunities for improvement, take ownership of projects, and help the team scale efficiently. The Project Manager will be one of the key participants in our changes — helping design new workflows, define requirements, support implementation, and ensure that new solutions are successfully adopted by the team. What You Will Do Process Analysis & Improvement Understand existing workflows, identify bottlenecks and inefficiencies, and proactively propose improvements that make processes more scalable and effective. Requirements & Solution Design Gather and structure stakeholder needs, translate them into clear requirements, and participate in designing new processes, tools, and automation solutions. Project Ownership Take ownership of operational and improvement initiatives from idea to implementation: define scope, coordinate stakeholders, track progress, manage risks, and drive projects to completion. Documentation & Knowledge Management Maintain and improve the Creative Team’s documentation in Confluence, ensuring it is consistent, up to date, well structured, and aligned with current processes. Onboarding & Access Coordination Coordinate onboarding for new team members, including access to Confluence, Asana, internal knowledge resources, and other relevant tools. Maintain onboarding checklists and supporting materials. Learning & Development Coordinate internal training through the company’s LMS and support external educational projects, courses, and workshops. Database Management Support the development and maintenance of a structured marketing database, ensuring that information remains relevant, organized, and regularly updated. What We Are Looking For: Experience as a Technical PM / Business Analyst / Production Manager: You know how to approach a business stakeholder, break a chaotic process down into "LEGO blocks," draft clear functional specs, and oversee the solution's delivery. Background in Evolving Internal Products: Ideally, you have prior experience automating back-office or production workflows within product-led tech companies or large advertising agencies. High Level of Ownership & Proactivity: We need someone who doesn’t wait for top-down, step-by-step instructions. You analyze the system independently, spot areas for growth, propose solutions, and drive them to completion. Structured & Systemic Approach: The ability to operate effectively in a fast-paced environment with high uncertainty, turning operational chaos into clear, structured algorithms. Understanding of Technical Logic: You don't need to write code or know SQL, but it is essential that you understand the underlying logic of software systems, databases, and integrations. Nice-to-Have: A genuine interest in Generative AI tools and experience integrating them into workflows. Personal pet projects related to automation (e.g., if you’ve built a no-code/low-code workflow just to automate something for yourself). Prior experience in creative production, marketing, or ad agencies (understanding the exact dynamics between creative producers and designers). Why You'll Love Working With Us: Real impact: The results of your work will directly drive the company's key scaling metrics. You will see firsthand how workflows accelerate by multiples thanks to your efforts. Flexibility: 100% remote work. Our team is globally distributed across Europe and beyond. Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are.

Location: Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.CO, Colombia; Rosario, Remote.LATAM-country We are looking for a Data Analyst to support a large scale data migration program in a capital markets environment. This role focuses on understanding business requirements, analyzing data across legacy and target systems, and ensuring that migrated data is accurate and complete. You will play a key role in bridging business and technology teams, supporting functional validation, and enabling downstream analytics and reporting. The position requires strong analytical skills, a deep understanding of data structures, and the ability to work with complex financial datasets. As a Data Analyst, you will interact with client business stakeholders, not only gathering requirements but also supporting the adoption of new processes and Agile ways of working. We are looking for someone with a strong analytical mindset who can help clients define and refine business requirements. The project is a large scale data migration program designed to move data from legacy capital markets systems to a modern platform ecosystem. You will support analysis, validation, and reconciliation activities to help ensure migrated data is accurate, complete, and ready for downstream analytics and reporting. Work closely with business stakeholders to understand requirements and translate them into data analysis and validation tasks Analyze legacy and target datasets to support data migration and transformation processes Define and execute data validation and reconciliation procedures Validate migrated data to ensure accuracy, completeness, and consistency Document ETL processes, data mappings, and transformation logic Write complex SQL queries to explore, validate, and analyze large datasets Support the creation of dashboards and reports for business users Collaborate with data engineers to ensure alignment between business rules and technical implementation Support downstream analytics and data visualization initiatives Identify data issues, inconsistencies, and gaps and propose solutions Experience working in capital markets environments including custody, clearing, settlement, derivatives, or CCP Ability to translate business requirements into structured tasks for technical teams 3 plus years of experience working with large data volumes and diverse data formats Strong SQL experience for data analysis and validation Experience in data warehousing, dimensional modeling, reporting, and business intelligence Experience in data schema design, data modeling, and data mappings Fluent Spanish and English communication skills in both written and spoken form Experience in data migration or system transformation programs Familiarity with AWS Glue Experience with dbt or similar transformation tools Experience with BI tools such as Tableau or Power BI Understanding of data governance and data quality frameworks

Задачи: — Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. — Проектирование и наполнение баз данных и аналитических витрин для оценки использования CodeGen-платформы. — Анализ активности пользователей, сценариев и профилей использования AI-инструментов. — Исследование утилизации ресурсов, качества, производительности и эффективности сервисов. — Формулирование и проверка гипотез о влиянии LLM на процессы разработки, тестирования, аналитики и DevOps. — Обработка структурированных и неструктурированных данных: логов, программного кода, merge request’ов, текстов и результатов работы LLM. — Разработка ETL/ELT-пайплайнов для загрузки, обработки и регулярного обновления данных. — Работа с S3, PostgreSQL, Greenplum, Oracle и другими источниками и хранилищами данных. — Участие в создании RAG-решений: подготовка и индексация данных, наполнение векторных баз, разработка пайплайнов обновления индексов. — Создание инструментов поиска и получения данных для AI-агентов. — Подготовка продуктовых и технических метрик, дашбордов и визуализаций с использованием Superset, Streamlit и Python. Требования: — Отличное владение Python. — Уверенная работа с pandas, Polars или аналогичными инструментами обработки данных. — Уверенное знание SQL. — Опыт работы с реляционными СУБД и хранилищами данных. — Практический опыт разработки ETL/ELT-пайплайнов. — Опыт работы хотя бы с одним инструментом оркестрации процессов обработки данных. — Уверенное владение AI-инструментами для разработки: Claude Code, Codex или аналогами. — Регулярное использование AI-инструментов в разработке и аналитике. — Умение самостоятельно исследовать данные, формулировать гипотезы и находить способы их проверки. — Опыт работы со структурированными и неструктурированными данными. Будет плюсом: — Опыт работы с Apache Airflow. — Опыт разработки решений на базе LLM, GenAI, RAG или AI-агентов. — Опыт работы с векторными базами данных и поисковыми системами. — Понимание Git, GitLab и современных процессов разработки ПО. — Базовые знания Data Science и методов статистического анализа. Условия: — Полный рабочий день. — Можно удалённо. — Оформление только как ИП.

Innowise ищет Business Analyst с навыками немецкого языка для участия в международных проектах и помощи в формировании цифровых решений. Требования: — уровень немецкого языка B2 обязателен — уровень английского языка B2

Location: Shanghai Workplace: Hybrid 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. The Merchant Care Analyst will be responsible for providing exceptional service to merchants by addressing inquiries, resolving issues, and ensuring a smooth experience with our products and services. The role requires excellent communication skills, a strong understanding of payments, and the ability to solve problems efficiently. The Merchant Care Analyst will use various tools and resources to troubleshoot issues, guide merchants through solutions, and escalate cases when necessary, all while maintaining a high level of customer satisfaction. What you will be doing: - Provide exceptional customer experience by handling inquiries and issues from merchants via various channels (email, phone, chat) - Troubleshoot and resolve merchant payment issues, technical challenges, and account-related concerns with a focus on timely and accurate resolutions. - Collaborate with internal teams, including operations, product, and engineering, to address merchant concerns and drive issues to resolution. - Educate merchants on platform features, payment processes, and best practices to optimise their experience. - Assist in maintaining and improving merchant care support, contributing to the continuous enhancement of service delivery. - The role requires working hours from 11:00 AM to 8:00 PM, including Public Holidays, and involves providing Instant Messaging (for e.g. WeChat) support as needed. Qualifications - Fluent in Mandarin and English - 2+ years of experience in support or operations roles, preferably within a payments environment. - Strong problem-solving skills with the ability to diagnose technical issues and provide effective solutions. - Excellent communication and interpersonal skills, with a customer-first mindset. - Ability to handle multiple priorities in a fast-paced environment while maintaining high service standards. - Familiarity with payment processing systems, fintech platforms, or related technologies (preferred but not essential). - Proficiency in using customer service software (e.g., Zendesk, Salesforce) and CRM tools. - Proven ability to work independently as well as collaborate effectively across teams. If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values. 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/

Location: Москва Мы – команда управления рисками блока сеть продаж. Мы создаем инструменты и сервисы, как классические, так и AI/ML-решения, которые позволяют минимизировать риски мошенничества в отношении клиентов и банка. Сейчас нам в команду требуется руководитель направления, который поможет нам выстроить систему регулярного мониторинга для каждого проекта, покрыв их метриками (AI/ML, бизнес, клиентские метрики), оперативного реагирования и эскалации западающих зон и организацию их исправления. Обязанности * Взаимодействие с бизнес-командами для сбора требований, согласования гипотез, презентации результатов и формирования бэклога. * Руководство распределенной командой инженеров и аналитиков данных (2 чел.). * Управление бэклогом команды: планирование, постановка, приоритизация и контроль выполнения в Jira. Ведение и актуализация проектной документации в Confluence. * Поиск, анализ и оценка новых источников с релевантными данными для использовании в работе. * Решение сложных аналитических задач: расчет бизнес-метрик, проектирование и реализация логики преобразования данных для анализа. * Разработка, оптимизация алгоритмов обработки данных на SQL, Python. * Формирование и формализация алгоритмов для построения отчетности и аналитических исследований. * Выполнение аналитических ad-hoc задач. * Проектирование, разработка и поддержка аналитических витрин и слоя данных в Greenplum, Hadoop, Spark, СМД. * Внедрение и поддержка процессов обеспечения качества данных (Data Quality): контроль стандартов, мониторинг целостности, точности и своевременности поступления данных. * Реализация и развитие BI-отчетности, дэшбордов для мониторинга динамики риска поведения / фрода и оценки причин изменений, выявления фродовых / подозрительных операций, оценки эффективности мероприятий по предотвращению рисков. Требования * Понимание основ проектирования, разработки и оптимизации ETL/ELT-процессов и дата-пайплайнов. * Опыт проектирования, создания и поддержки аналитических витрин данных. * Продвинутое владение PostgreSQL (создание процедур, оконные функции, поставка витрин через PXF), Python (pandas, numpy, matplotlib). * Опыт работы с распределенными системами, такими как Greenplum, Hadoop и Spark, СМД. * Навыки применения статистического анализа и методов машинного обучения (классификация, обнаружение аномалий) для решения бизнес-задач. * Способность решать сложные аналитические задачи: расчет метрик, анализ первопричин, формализация алгоритмов для выявления подозрительных активностей. * Опыт внедрения и поддержки практик обеспечения качества данных, мониторинга их целостности и точности. * Опыт разработки и поддержки BI-отчетности (Qlik, Navigator) и дэшбордов для мониторинга и аналитики. Условия * График 5/2, офис на м. Кутузовская; * Режим работы - офис; * Достойный уровень вознаграждения (оклад + годовая премия); * Возможность возглавить AI-направление и влиять на цифровую трансформацию банка; * Широкие возможности для профессионального развития: корпоративный университет и множество онлайн-программ обучения. Корпоративное обучение за счёт компании; * Бесплатная подписка СберПрайм+, многочисленные скидки и бонусы от партнёров: СберМаркет, МегаМаркет, Самокат, Еаптека и др.

StarTribe — часть крупного международного холдинга (название под NDA), который более 10 лет создает и развивает масштабные и нагруженные IT-продукты для крупных компаний, включая всемирно известных брендов. В холдинге работает около 10 000 человек в разных странах, главный офис расположен на Кипре. Основное направление — iGaming: технологичные решения для онлайн-развлечений, спорта и игр. Работаем в B2B-сегменте и входим в число лидеров отрасли (top-10 в мире). Задачи: — Описывать и систематизировать процессы; — Анализировать процессы и находить точки для их оптимизации; — Предлагать, проектировать и защищать решения с опорой на экспертизу, лучшие практики и фреймворки; — Внедрять изменения и работать с сопротивлением со стороны заказчиков и команд; — Писать автоматизации и собирать прототипы, в том числе с помощью AI-агентов; — Искать точки внедрения AI в процессы; — Помогать командам в сборе отчетности; — Организовывать кросс-командные проекты; — Самостоятельно принимать, уточнять и обрабатывать запросы внутренних заказчиков. Требования: — 3+ года опыта работы Project Manager, Business Analyst или System Analyst; — Опыт оптимизации процессов и внедрения изменений; — Опыт полного цикла внедрения решений: от сбора и уточнения требований до запуска и начала использования; — Знание систем и фреймворков проектного управления; — Понимание BPMN; — Готовность самостоятельно проектировать решения и аргументированно защищать их перед заказчиками; — Готовность изучать новые методологии и технологии; — Умение работать с критикой, корректирующей обратной связью и сопротивлением изменениям. Будет плюсом: — Опыт разработки, в том числе с помощью AI-агентов; — Знание JavaScript, Python, Claude Code, Copilot, Codex или аналогичных инструментов; — Опыт работы с Docker, RAG и SQL; — Опыт работы с системами построения дашбордов: Tableau, NeoDash, SuperSet; — Опыт работы с N8N или другими no-code/low-code оркестраторами; — Сертификация в области Project Management; — Образование в области математики, инженерии, программирования или физики; — Английский язык от уровня Pre-Intermediate. Условия: — Формат работы 5/2 с гибким началом рабочего дня с 8:00 до 10:00; — Отпуск - 21 рабочий день; — 4 day off в году; — Годовой бонус по результатам работы; — Частичная компенсация занятий английским языком (SkyEng); — Внешнее и внутреннее профессиональное обучение; — Реферальная программа; — Готовые обеды и завтраки; — Заработная плата обсуждается по итогам личной встречи.

Задачи: — Описывать и систематизировать процессы; — Анализировать процессы и находить точки для их оптимизации; — Предлагать, проектировать и защищать решения с опорой на экспертизу, лучшие практики и фреймворки; — Внедрять изменения и работать с сопротивлением со стороны заказчиков и команд; — Писать автоматизации и собирать прототипы, в том числе с помощью AI-агентов; — Искать точки внедрения AI в процессы; — Помогать командам в сборе отчетности; — Организовывать кросс-командные проекты; — Самостоятельно принимать, уточнять и обрабатывать запросы внутренних заказчиков. Требования: — 3+ года опыта работы Project Manager, Business Analyst или System Analyst; — Опыт оптимизации процессов и внедрения изменений; — Опыт полного цикла внедрения решений: от сбора и уточнения требований до запуска и начала использования; — Знание систем и фреймворков проектного управления; — Понимание BPMN; — Готовность самостоятельно проектировать решения и аргументированно защищать их перед заказчиками; — Готовность изучать новые методологии и технологии; — Умение работать с критикой, корректирующей обратной связью и сопротивлением изменениям. Будет плюсом: — Знание JavaScript, Python, Claude Code, Copilot, Codex или аналогичных инструментов; — Опыт работы с Docker, RAG и SQL; — Опыт работы с системами построения дашбордов: Tableau, NeoDash, SuperSet; — Опыт работы с N8N или другими no-code/low-code оркестраторами; — Сертификация в области Project Management; — Образование в области математики, инженерии, программирования или физики; — Английский язык от уровня Pre-Intermediate. Условия: — Формат работы 5/2 с гибким началом рабочего дня с 8:00 до 10:00; — Отпуск - 21 рабочий день; — 4 day off в году; — Годовой бонус по результатам работы; — Частичная компенсация аренды жилья; — Частичная компенсация занятий английским языком; — Внешнее и внутреннее профессиональное обучение; — Реферальная программа; — Готовые обеды и завтраки; — Заработная плата обсуждается по итогам личной встречи.

Требования: — Опыт работы в аналитике данных от 1 года, желательно 1–3 года — Уверенное знание SQL — Знание Excel — Понимание принципов A/B-тестирования и математической статистики О компании: Bank CenterCredit — один из ведущих банков Казахстана, активно развивающий корпоративные DevOps-платформы.

Location: San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We are looking for an Analyst, Deal Operations to help drive Ramp’s next phase of growth! Reporting to the Senior Manager, Deal Desk, you’ll be a key partner in taking our Sales organization to the next level, responsible for quoting, pricing structure, and contracting for our Sales team. You'll be an integral part of the Deal Operations team with a focus on offering guidance to drive deal execution while complying with company policies and procedures and ensuring consistency to manage risk. You’ll work directly with our Sales, Legal, Accounting, and cross-functional leadership to better streamline efficient workflows and enhance sales productivity. WHAT YOU'LL DO - Quote & contract approvals — review and approve quotes and contract workflows within policy; escalate exceptions with clear context - Feature & subscription activation — enable product tiers, configure accounts, and manage trial extensions, and coordinate billing - Policy & process guidance — be the first line of support for AEs with questions about deal structure, approval requirements, and process - Playbook development — document what you learn; help build the SOPs and escalation guides that make this function scalable - Drive consistency across deal processes by helping to optimize, streamline, and automate quote-to-cash processes - Serves as a subject matter expert on deal constructs, operational procedures, approval policies, and controls WHAT YOU NEED - 3-5 years in a Deal Desk environment, preferably in a high growth SaaS company. - Experience with Salesforce, CPQ, and other sales-related systems, including pricing and data enrichment tools. - Exceptional communication skills, written and verbal. - Excellent project management instincts, with an ability to manage multiple projects at one time. - You have a “get things done” mentality; you can dissect problems, identify solutions, and drive these solutions to completion with a high degree of autonomy. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Требуется System Analyst с опытом анализа сложных систем и восстановления бизнес-логики на основе кода и данных. В обязанности входит моделирование доменов по методологии DDD, описание бизнес-процессов и взаимодействия сервисов, а также подготовка технических спецификаций и API-контрактов. Необходимо собирать функциональные и нефункциональные требования, а также проводить анализ зависимостей и оценку рисков при внесении изменений. Кандидат должен уметь самостоятельно работать с исходным кодом и логами, владеть SQL, API и базами данных, а также разбираться в синхронных и асинхронных интеграциях, транзакциях и вопросах согласованности данных.

Требования: — 4–5+ лет в роли аналитика данных — Опыт именно в Pharma — обязателен — Уверенная работа с большими данными — Продвинутый SQL и Excel, опыт с ClickHouse или другими колоночными СУБД Важно: — Опыт именно в Pharma-обязателен — Гражданство РФ

Требования: — 4–5+ лет в роли аналитика данных. — Опыт именно в Pharma-обязателен. — Уверенная работа с большими данными. — Продвинутый SQL и Excel, опыт с ClickHouse или другими колоночными СУБД. — Умеете писать SQL самостоятельно, без генерации нейросетями. — Строили отчётность на справочниках и аналитических агрегатах. — Можете ставить ТЗ на разработку отчётов. — Ищете оптимальное решение: по скорости, ресурсам и нагрузке на БД. — Высшее образование. Условия: — Локация: удалённо, РФ. — Гражданство РФ.

Location: Москва Мы ищем Data Analytic в команду Интеллектуальные платформенные решения, кто готов с нами погрузиться в процесс и найти ответы на вопросы: * как оценить внедрение AI в процессы и продукты Банка; * почему не все эксперименты одинаково полезны *  другие интересные челленджи, которые позволят вам покорить новые профессиональные высоты, а нам вместе с вами максимизировать доход Банка. Первый этап отбора на эту вакансию – общение с AI-рекрутером. После отклика ждите сообщение от него в Сберчате, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. AI-рекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным для всех! Обязанности * проверять гипотезы, формировать дизайна экспериментов (АВn-тестов) и подводить итоги АВn-тестов и интерпретировать их результаты * расчет эффектов от внедрения AI, проведение мониторинга и т.д. * написание и модернизация скриптов для автоматизации текущего функционала * визуализация данных * ведение реестра AI-инициатив и базы данных портфеля для бизнес-планирования * работа с ad-hoc запросами и аналитикой * взаимодействие с контрагентами/заказчиками. Требования * хорошее знание математической статистики и теории вероятности * профильное высшее образование * опыт работы аналитиком данных от 3 лет * продвинутое знание SQL * умение обрабатывать и визуализировать данные с помощью Python * опыт проведения исследований, проверка гипотез и их оценка * навыки работы с генеративными AI-моделями. Условия * комфортный современный офис рядом с м. Кутузовский проспект * формат работы – офис * ежегодный пересмотр зарплаты, 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 * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Bangalore, India Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Analyst Location: Hybrid - Bangalore, India (2 Days per week in Office) This role serves as a critical bridge between the Sales, Product, and Analyst teams, ensuring data-related requests are accurately submitted, properly prioritized, and resolved in a timely manner. As the first point of contact for APAC data validation inquiries, you will own the triage process, represent the team on customer calls, and champion internal alignment on both public and proprietary data across the APAC digital advertising market. As part of a collaborative global team, this role requires flexibility to participate in weekly cross-timezone meetings. This is a hybrid position with 2 days per week in office. Please note: this role is offered on a B2B contractor basis, directly with Sensor Tower's US entity, and not on Sensor Tower's Indian company payroll. This is how our entire India team currently operates. What You Will Do: - Assess incoming data related tickets for completeness, clarity, and accuracy from go to market teams. - Review and Triage Data Validation Tickets to respective Lead Analysts. - Flag and redirect any non-actionable or duplicate requests. - Develop and maintain a ticket prioritization framework to help Lead Analysts and Data Science teams focus on high-impact issues. - Collaborating with Lead Analysts to systematically compare and align public and internal datasets. - Proactively participating in APAC sales calls to address data related insights and surface actionable product feedback. - Support cross-functional initiatives between the Sales, Product, Analysts and Data Science teams for the APAC region. - Provide feedback and insights to improve internal data tools and customer experience. - Monitor trends in the mobile app and advertising space to identify compelling and actionable insights for current and prospective customers. Qualifications: - 3+ years of experience in advertising technology, or a related field with exposure to mobile app advertising ecosystems. - Mandatory: hands-on experience working with the India market and Indian brands specifically, including familiarity with local channel mix, CPMs, and category spend volumes. - Familiarity with SQL for data querying and validation - Comfortable working with sales teams and customers to explain data insights and manage multiple tasks in possible time-sensitive situations - Ability to research and synthesize market trends, competitor data, and industry benchmarks. - Experience in reviewing and interpreting public financial statements - Knowledge of digital advertising and mobile marketing KPIs (impressions, CPM, CTR, ROAS) - Familiarity with APAC markets, particularly India, Southeast Asia, and/or Japan Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary We’re seeking highly motivated Data Quality Analysts with strong analytical skills and a keen eye for detail to join our Human Data Annotation team within the Science organisation. This is a hybrid quality reviewing and tooling role: - you'll spend the majority of your time reviewing and auditing Finance (any subdomain) annotations against rubrics to ensure data used for training and evaluating AI models meets the highest standards of quality and efficiency. - and the remainder building, maintaining, and troubleshooting annotation operations. You'll collaborate closely with the annotators, technical program manager, and science stakeholders, and contribute to refining the guidelines and processes that shape how our data is produced. Key Responsibilities - In collaboration with the technical team, review/audit annotations, clarify requirements, share insights, surface systemic issues, edge cases, and gaps in guidelines, to improve annotation processes and guidelines. - Generate and validate high-quality finance-oriented data annotations yourself when needed, based on guidelines and continuous feedback, for the development and evaluation of AI models - Build and maintain internal tools and automation that streamline annotation or review workflows such as visualization dashboards, batch configuration scripts, output management utilities, and similar - Troubleshoot campaign issues (e.g. tooling, guidelines) for annotators - Organise annotator training and coordinate feedback between annotators and reviewers. About you - A degree (minimum Masters level) in a Finance discipline. - At least 3 years of professional experience in the Financial domain. - Outstanding analytical and research skills - Some familiarity with programming languages, with the ability to read standard output formats such as .jsonl files. - Exercises great judgement with complex instructions, limited data, and/or multiple information sources and ability to surface edge cases, ambiguities, or gaps in guidelines accordingly. - Excellent communication, interpersonal, and organisational abilities - Adapts easily to dynamic environments and changing requirements - Appetite for operational work and high tolerance for repetitive tasks with a sustained focus and accuracy on detail-oriented, high-volume review work. - Professional proficiency in English, with strong writing and comprehension skills Nice to have - Familiarity with rubric-based evaluation concepts, inter-annotator agreement, or quality measurement for human-labeled data - Experience building an annotation team through interviews and training - Proficient in at least one programming language (e.g. Python) - Prior experience in data annotation for AI/ML, especially LLM training (SFT, RLHF, preference data), evals/benchmarks, or agentic data - Comfortable working in a Unix-like terminal and using git workflows (branches, merges, resolving conflicts)   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.