Вакансии

Задачи: — мониторинг процесса запуска кампаний — анализ эффективности кампаний продаж — разработка аналитической отчетности — автоматизация подведения итогов кампаний — поиск целевой аудитории для продвижения продуктов и сервисов Банка, выстраивание алгоритмов приоритезации предложений — подготовка предложений и формулирование бизнес-гипотез на основании анализа проведенных кампаний продаж Требования: — знание SQL (сложные запросы ко множеству таблиц, желательно: оконные функции, процедуры) — понимание принципов аб-тестирования — знание Excel (сводные таблицы) — понимание банковских продуктов на уровне пользователя — умение интегрировать нейросети в ежедневные задачи для повышения производительности Условия: — комфортный современный офис — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера — график 5/2 с 9:00 до 18:00, пятница до 16:45

Задачи: — Сбор и анализ требований, интервью с ключевыми пользователями. — Моделирование и описание бизнес-процессов: производство, МТО, закупки, склад, ремонты. — Разработка и согласование проектной документации: ТЗ, ЧТЗ, ФТТ, ПР, модели учёта, gap-анализ. — Анализ функциональных разрывов и предложение решений на базе ERP-систем. — Постановка задач разработчикам, участие в проектировании и приёмке доработок. — Функциональное и интеграционное тестирование, исправление замечаний. — Подготовка и проведение ПСИ, обучение пользователей, пользовательская документация. — Анализ запросов на изменение, адаптация ИС, консультирование пользователей. — Участие в пресейлах, предпроектных работах и оценке объёма трудозатрат. Требования: — Опыт работы консультантом / аналитиком 1С на проектах внедрения или сопровождения 1С:ERP, 1С:ERP УХ, 1С:КА — от 5 лет. — Уверенное знание функциональности ERP-систем в разделах оперативного и производственного учёта. — Понимание учётных процессов: производственные заказы, маршруты, полуфабрикаты, МТО, закупки, склад, калькуляция себестоимости. — Методы сбора требований: интервью, протоколы, функциональные требования, gap-анализ. — Опыт работы в 1С-франчайзи и интеграторах — преимущество.

Задачи: — собирать, анализировать и систематизировать требования к информационным системам — описывать функциональные требования и составлять детальные ТЗ на разработку/доработку ПО и интеграцию — выявлять, собирать и формировать нефункциональные требования (информационная безопасность, нагрузка, производительность) — прорабатывать интеграционные взаимодействия (очереди, шина, API) — участвовать в проектировании архитектуры — работать с запросами (3-я линия поддержки) — проектировать схемы данных, писать SQL-запросы и строить дашборды для мониторинга качества данных — участвовать в тестировании интеграционных потоков данных Требования: — умение моделировать бизнес-процессы и интеграции (BPMN, UML) — навыки проектирования БД и уверенное владение SQL — знание интеграционных подходов (REST, SOAP, очереди, шина) — понимание архитектуры информационных систем и микросервисов — понимание принципов ETL/ELT и работы с JSON/XML — базовое понимание Elasticsearch/Kibana и Kafka

Задачи: — Кросс функциональное взаимодействие с подразделением аналитики ЦО — Анализ бизнес-процессов, разработка оптимизированных моделей работы (сокращение количества этапов сделки / автоматизация рутинных задач менеджера) — Сбор и формализация требований, написание бизнес требований по внедряемым изменениям — Анализ клиентской базы, выявление сегментов, которые приносят наибольший доход, и разработка стратегий для их удержания и развития — Ведение рейтингов региональной сети, расчет промежуточных итогов KPI, автоматизация отчетности Требования: — Высшее образование (желательно техническое, экономическое или математическое) — Опыт работы бизнес-аналитиком, с реальными задачами в оптимизации и автоматизации бизнес-процессов в корпоративной среде — Аналитический склад ума, опыт работы предметной областью финансового планирования, прогнозирования и бюджетирования будет плюсом — Инициативность, проактивность, ответственность — Опыт работы с инструментами анализа и визуализации данных (Excel, Power BI и т.д.) — Навыки работы с SQL для анализа данных и построения отчетов будет являться плюсом — Умение работать с несколькими заинтересованными сторонами, управлять конфликтами требований и приоритетами — Опыт работы с Jira и Confluence Условия: — Самореализацию в команде лидера (TOP – 4) рынка страхования жизни — Официальное оформление по ТК с первого дня работы — Прозрачная система оплаты труда — График работы 5/2 c 9:00 до 18:00 — Возможности карьерного роста по результатам оценки — ДМС, социальные гарантии и льготы — Программы скидок от партнеров и нашей компании — Корпоративное обучение (выделенный тренинг-центр и специальные программы), готовы делиться ценным опытом и знаниями — Насыщенную корпоративную жизнь: мероприятия по реализации ценностей компании, конкурсы, спортивные мероприятия и др.

Задачи: — Анализ фармацевтического рынка (DSM, Alpharm, Сбераналитика и др; конкуренты); — Анализ эффективности маркетинговых активностей (диджитал, промо, наружная реклама, мерчендайзинг и т.д.); — Развитие аналитических инструментов (в т.ч. BI); — Развитие подходов и методологии оценки экономической эффективности коммерческих инициатив; — Комплексная аналитика клиентской базы и продаж; — Ad-hoc аналитика. Требования: — Опыт работы не менее 3-х лет в аналогичной должности (Аналитик-маркетолог) в крупных федеральных компаниях (Retail, Telecom, Banking); — Навыки продвинутого пользователя Excel (сводные таблицы, сложные формулы); — Опыт работы с BI системой, например, Qlik Sense, Superset, Data Lens; — Экспертный навык работы с SQL; — Опыт и навыки подготовки презентаций в Power Point (визуализация данных с анализом); — Умение работать оперативно, выделяя приоритетные задачи, с применением гибкого подхода в решении задач; — Опыт работы с AI агентами - как преимущество. Условия: — Официальное оформление с первого дня, стабильная заработная плата и все социальные гарантии; — Современные рабочие пространства и гибридный формат работы: 3 дня в офисе, 2 дня из дома; — ДМС со стоматологией, психологической поддержкой и консультациями специалистов после 3 месяцев работы; — Поддержка персонального бадди с первого дня для адаптации; — Возможности карьерного роста внутри роли или в смежных направлениях; — Бесплатный доступ к корпоративной библиотеке, курсам и тренингам; — Корпоративные скидки по программе «Магнит Primezone» и подписка «Магнит Плюс Премиум» с кешбэком; Режим работы: 5/2 с 09:00 до 18:00 Место работы: Москва, Бумажный проезд, д. 19/1.

Задачи: — Работа с базами данных (написание запросов в SQL), умение обрабатывать и анализировать большие объемы структурированной информации. — Работа с Python (библиотеки для анализа данных: pandas, numpy и др.) для решения аналитических задач. — Проведение литературных и токсикологических обзоров (умение работать с научными статьями, базами данных по токсичности, СанПиН, методическими рекомендациями). — Подготовка аналитических справок, отчетов, писем и презентационных материалов. Требования: — Знание методов аналитических исследований в области химии, а также общественного здоровья, построения прогнозов исследуемых процессов, явлений и объектов, теоретических основ математического моделирования. — Понимание основ токсикологии, гигиены труда и/или гигиены окружающей среды. — Умение разрабатывать способы статистической обработки данных. — Умение проводить прогнозную-оценку токсикологического воздействия на население методами математического или компьютерного моделирования, подготавливать аналитические справки и материалы. — Высшее профильное образование «Медико-профилактическое дело», "Лечебное дело". Условия: — Работа в комфортном офисе, 5/2 с 9.30 до 18.00; — Ежегодный отпуск - 28 календарных дней; — Наличие парковки, столовой и спортивных активностей (волейбол, бассейн, настольный теннис); — Участие в масштабном проекте федерального уровня; — Медицинский стаж не учитывается!

Задачи: — Участие в интервьюировании бизнес-экспертов и пользователей информационных систем на предмет получения источников данных; — Изучение и систематизация документации по проекту в части выделения отчетности, подлежащей автоматизации; — Подготовка документации по описанию метрик; — Участие в постановке задач и разработке технического задания; — Сбор, анализ и документирование функциональных требований к итоговому отчету; — Подготовка схем тестирования и тестирование отчетности на корректность сформированных данных; — Реализация отчетности в BI системах и предоставление к ней доступа конечным пользователям; — Консультирование пользователей по реализованным отчетам. Требования: — Опыт работы аналитиком данных от 3-х лет; — Уверенное знание SQL; — Понимание основных методов анализа данных и статистики; — Опыт построения интерактивных дашбордов; — Опыт работы с FineBI или другими BI-инструментами; — Умение переводить бизнес-цели в конкретные аналитические задачи и метрики. Условия: — Официальное трудоустройство по ТК РФ; — Возможность удаленной работы на территории РФ; — Комфортный офис в двух минутах от м. Баррикадная; — Софинансирование ДМС; — Скидки и бонусы от партнеров: спорт, обучение, путешествия; — Программы обучения по работе с Искусственным интеллектом для всех сотрудников компании; — Возможность учиться у профессионалов отрасли и влиять на значимые проекты для города.

Задачи: — Автоматизация бизнес-процессов; — Подготовка технических заданий по автоматизации бизнес-процессов для внутренних и внешних провайдеров; — Анализ эффективности бизнес-процессов, подготовка предложений по их оптимизации; — Контроль хода, качества и сроков выполнения работ; — Сдача-приемка работ с внешними разработчиками, тестирование систем, выявление недоработок, сбор замечаний от сотрудников; — Активное взаимодействие с внешними подрядчиками и внутренними пользователями. Требования: — Опыт работы в данном направлении не менее 2-х лет; — Высшее образование; — Уверенное владение офисными программами и Visio. Условия: — Официальное оформление по ТК РФ; — График работы 5/2 с 09:00 до 18:00 или с 10:00 до 19:00; — Уровень дохода обсуждается с успешным кандидатом на собеседовании; — ДМС после испытательного срока; — Современный офис в центре Москвы, м. Киевская, БЦ "На Бережковской"; — Только офисный формат работы, удаленный и гибридный формат отсутствует.

Location: Nisku, Alberta Financial Analyst II Full-time, Permanent Nisku, AB Work with people who treat you like friends. Imagine an office where everyone is watching out for you because they know you’re watching out for them. Our company sees construction as a team sport, so we care about each other as a team. That level of caring filters through investments in local community groups and charities because we also care about the communities we work in. Michels Canada empowers your personal and professional growth, equipping you with the tools and support needed to create impactful solutions that shape a better future for others. About us Michels Canada is a nationally recognized general contractor specializing in energy, infrastructure, and construction. Headquartered in Nisku, Alberta, we also operate offices in British Columbia and Ontario. We are part of the Michels Family of Companies. The Michels Family of Companies is a privately owned, global construction organization with operations across North America, Australia, Singapore, and Germany, headquartered in Brownsville, Wisconsin, USA. Description The Financial Analyst supports Michels Canada operations by delivering financial reporting, forecasting, budgeting, and performance analysis that drive informed business decisions. This role partners closely with Operations, Project Controls, Finance, and other business stakeholders to support project performance, monitor key financial metrics, and provide actionable insights that contribute to operational success. The ideal candidate is highly analytical, detail-oriented, and comfortable working in a fast-paced, project-based environment. Responsibilities: Maintain and promote a strong safety culture for all employees, vendors, and customers. Follow all safety policies, procedures, and regulations. Identify and communicate workplace hazards and correct or seek assistance in correcting unsafe actions or conditions. Prepare and maintain financial and operational reporting that supports informed business decision-making. Analyze financial and operational performance metrics, identify trends, and provide recommendations to improve business performance. Support budgeting, forecasting, long-range planning, and variance analysis activities across operations and projects. Partner with Operations, Project Controls, and other stakeholders to support project financial performance and reporting. Assist with project accounting activities, including job setup, journal entries, accruals, billings, and financial analysis. Monitor project performance through analysis of revenue, costs, gross margin, backlog, cash flow, and cost-to-complete forecasts. Analyze working capital performance, including accounts receivable, collections, billings, and project cash flow forecasts. Collaborate with cross-functional teams to identify process improvements, reporting enhancements, and operational efficiencies. Support ERP, reporting, and finance transformation initiatives that improve data quality, automation, and business performance. Perform other duties as assigned. Requirements: Bachelor's degree in Accounting, Finance, Commerce, or a related discipline. 3-6 years of experience in financial planning and analysis (FP&A), operational finance, project finance, accounting, or a related field, or an equivalent combination of education and experience. Advanced proficiency with Microsoft Excel, including financial modelling, forecasting, reporting, and data analysis. Experience working with ERP systems and reporting tools such as Power BI, SAP, Tableau, or similar platforms. Strong understanding of budgeting, forecasting, financial reporting, variance analysis, and performance measurement. Experience supporting project-based operations and project financial management, including work-in-progress (WIP) reporting, estimate-at-completion (EAC) forecasting, cost-to-complete analysis, and cash flow forecasting. Strong analytical, critical-thinking, and problem-solving skills with the ability to translate financial and operational data into meaningful business insights. Excellent communication and interpersonal skills with the ability to build effective working relationships across Finance, Operations, Project Controls, and other business functions. Ability to manage multiple priorities and work effectively in a fast-paced, project-based environment. Experience in construction, infrastructure, energy, industrial, or other project-based industries will be considered an asset. CPA designation, or progress toward obtaining a CPA designation, will be considered an asset. Benefits We offer competitive total compensation, meaningful and challenging work, and an engaging and collaborative environment. For more information on our company, please visit our website at www.michelscanada.com . We thank all applicants for their interest; however, only those under consideration will be contacted. For other opportunities at Michels Canada, join us at https://www.michelscanada.com/jobs/apply/ . It is our commitment to create a diverse workforce and an inclusive culture. We are proud to be an equal opportunity employer. All applicants will be considered for employment regardless their race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by applicable laws, regulations, or ordinances. If you need assistance and /or a reasonable accommodation due to a disability during the application or the recruitment process, please send us an email to: careers@michelscanada.com . No recruitment agencies, please! **Please be aware! ** It has come to Michels Canada attention that job seekers have received false employment offers from individuals or organizations posing as Michels Canada. Please keep in mind these important tips: Michels Canada does not require payment from anyone seeking employment at any time during the recruitment and/or selection process. All recruitment email correspondence comes from email addresses displaying the correct spelling of our company name: @michelscanada.com or @michels.us. Formal offers of employment are only made once the recruitment and selection process are complete. Personal and banking information is NOT collected until you have been personally onboarded by our HR team. We do not extend any formal offers of employment or execute employment agreements through text messaging, social media, job posting websites or social chat platforms. We take this matter seriously and are continuously working with the appropriate authorities. Please remain aware of this matter, report any suspicious outreach to your local authorities, and email any concerns to hrcompliance@michelscanada.com . Please note: resumes sent to this email will not be considered; please apply directly to our current career opportunities at https://www.michelscanada.com/jobs/apply . #Canada AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Costa Mesa, United States 📍 Location: Costa Mesa, CA 📄 Employment Type: 6-Month Contract, with potential for conversion to full-time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be authorized to work in the United States . Must be a U.S. Citizen and eligible to obtain and maintain an active U.S. Secret Security Clearance . Experience supporting aerospace, defense, or advanced aircraft development programs is highly preferred. Must be willing and able to work on-site in Costa Mesa, CA, Monday–Friday . Candidates outside Southern California must be willing to relocate and commit to the full-time on-site schedule. The team may potentially transition operations to the Long Beach, CA area in approximately one year. About the Role We are seeking a skilled Stress Analyst – Aircraft Structures to support the structural analysis of advanced aerospace vehicles and components. This is a hands-on structural analysis role focused on evaluating aircraft structures for strength, stability, fatigue, damage tolerance, and other structural performance requirements . The ideal candidate has strong experience with FEMAP and NASTRAN , understands both finite element and first-principles methods, and can independently take an analysis from applied loads through finite element modeling, margins of safety, and technical reporting. You will work closely with multidisciplinary engineering and manufacturing teams in a fast-paced aerospace development environment. What We’re Looking For We’re looking for a hands-on structural analyst who can independently own analyses from loads and assumptions through FEA, results interpretation, margins, and reporting . Strong experience with FEMAP and NASTRAN, combined with practical knowledge of aircraft structural mechanics and the ability to perform first-principles calculations, is essential. Experience with both metallic and composite structures, advanced aerospace vehicles, rapid prototyping, and manufacturing/integration environments will be particularly valuable. Key Responsibilities Perform structural analysis at the component, assembly, and aircraft levels . Develop and evaluate finite element models using FEMAP and NASTRAN . Analyze structures for: Strength Buckling Fatigue Damage tolerance Other applicable failure modes Evaluate load paths and structural response using both finite element methods and first-principles engineering calculations . Perform hand calculations to validate and supplement FEA. Analyze both metallic and composite aerospace structures . Evaluate composite structures for relevant failure modes, including delamination where applicable. Review structural loads, boundary conditions, material properties, and modeling assumptions. Develop, modify, and review NASTRAN input decks and solver cards . Interpret FEA results and calculate margins of safety and other structural performance metrics. Prepare clear technical documentation and analysis reports. Collaborate with engineering, manufacturing, integration, and other technical teams to resolve structural issues. Support prototype development, testing, manufacturing, and integration activities as needed. Communicate analysis assumptions, findings, risks, and recommendations to technical stakeholders. Required Qualifications Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline , or equivalent relevant experience. 4+ years of relevant experience in aerospace structural analysis, stress analysis, or a closely related field. Hands-on FEMAP experience is required. Experience with NASTRAN or a comparable structural finite element solver. Strong preference for candidates with direct experience working with NASTRAN input decks and cards . Strong understanding of aircraft structural mechanics and stress analysis . Experience with structural strength, buckling, fatigue, damage tolerance, load paths, and/or related structural analysis methods. Experience analyzing metallic and/or composite aerospace structures . Strong understanding of material properties and structural behavior. Ability to perform engineering hand calculations and apply first-principles methods . Experience taking an analysis from applied loads → finite element modeling → results interpretation → margins → technical reporting . Strong technical communication and problem-solving skills. Ability to work independently in a fast-paced engineering environment. Preferred Qualifications Experience with both metallic and composite aerospace structures . Experience with composite laminate analysis and delamination assessment . Experience with high-temperature materials or structures . Experience supporting hypersonic or other high-performance aerospace systems . Experience with clean-sheet aircraft development . Experience working on uncrewed aircraft or other advanced aerospace vehicles . Experience in rapid prototype development and manufacturing environments. Siemens NX proficiency. Hands-on manufacturing or integration experience. Broad experience across multiple aircraft programs. Practical aircraft knowledge or experience working directly with aircraft systems and structures. Work Environment This is a fully on-site engineering position in Costa Mesa, California, Monday through Friday . The role involves close collaboration with engineering, manufacturing, and integration teams and may include support for prototype manufacturing and vehicle integration activities.

Задачи: — Сопровождать внутренних заказчиков от идеи до реализации — Проектировать «заботящееся о пользователе» поведение системы — Разрабатывать требования, тест-кейсы и пользовательскую документацию — Оценивать трудозатраты и участвовать в тестировании функционала Требования: — Опыт с 1С УТ 11.5, БП, ЗУП, ERP — Понимание основ управленческого и бухгалтерского учета — Умение писать ТЗ, регламенты и инструкции — Навык «переводить» бизнес-задачи на язык системы — Стрессоустойчивость и крутые коммуникативные навыки Условия: — Конкурентная ЗП (обсуждаем с успешным кандидатом) — Подчинение напрямую ИТ-директору — ДМС после испытательного срока + льготы для родственников — Офис в 2 минутах от м. Семёновская — Гибкий график (удобное начало дня)

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/

Лид аналитики — это типичная сеньорская позиция, требующая абстрактной насмотренности, которую нельзя проверить напрямую, а можно измерить только общим опытом и скоростью работы.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems. What you'll do Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions. Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time. Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs. Develop performance indexes and heatmaps that identify product areas and customers using the most support resources. Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering. Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers. Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth. Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis. What you'll bring Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company. Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations. Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters. Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools. Translate ambiguous business questions into structured analytical frameworks. Present findings clearly to technical and non-technical stakeholders. Plan and prioritize work independently in a remote, cross-functional environment across time zones. You may also bring experience with large language model-based tools, artificial intelligence and machine learning workflows, durable data solutions, analytics frameworks, in-depth data analysis, or presenting to senior leaders and executives. About the team Our Support Engineering organization uses data to understand performance, improve customer outcomes, and improve operational practices. You'll partner across Support Engineering, go-to-market teams, Business Operations, and Product Engineering in an all-remote environment. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Требования: — Общий опыт работы от 6 лет. — Опыт работы системным аналитиком от 3 лет. — Опыт разработки систем промышленного уровня от 1 года: backend биллинговых систем, CRM, банковских back-office систем и т.п. — Практический опыт работы с микросервисной архитектурой, включая самостоятельное проектирование нескольких сервисов. — Опыт проектирования моделей данных. — Уверенное владение SQL, способность составлять сложные запросы для анализа состояния системы и данных. — Опыт подготовки технической документации: ТЗ, спецификаций, функциональных и бизнес-требований. — Знание HTTP, REST, JSON, XML, XSD. — Опыт разработки схем валидации XSD, желательно также опыт написания XSLT. — Понимание принципов построения межсервисных взаимодействий. — Опыт постановки задач разработчикам и приёмки результатов. — Хорошее понимание полного жизненного цикла разработки ПО. Будет плюсом: — Высшее математическое, техническое или финансовое образование. — Знание принципов работы финансовых рынков. — Опыт работы с протоколами FIX, FAST. — Опыт создания пользовательских интерфейсов. — Опыт работы по методологиям Agile / Scrum. — Знание и практический опыт работы с Jira и Confluence. Задачи: — Проектировать и описывать компоненты систем: микросервисы; объекты баз данных (сущности, индексы, агрегаты); интеграции через API и брокеры сообщений. — Проектировать и описывать сложные последовательности обработки бизнес-объектов: процессинг договоров, сделок и т.д. — Подготавливать детальные функциональные и системные требования к разработке. — Разрабатывать и документировать тест-кейсы. — Проактивно взаимодействовать с бизнес-заказчиками и смежными командами для уточнения требований. — Работать в тесной связке с разработчиками, архитекторами и тестировщиками. — Участвовать в постановке задач, сопровождении разработки и приёмке реализованного функционала. — Отвечать за корректность и работоспособность реализованного функционала.

Роль старшего или ведущего аналитика. Возможность быть стрим лидом, если такая позиция есть в компании. Обязанности включают менторство и техническую поддержку, но не выполнение рутинных задач за младших специалистов и стажёров.

Location: Hanoi Workplace: onsite Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation.  The company employs 5, 000 specialists.  Ajax Systems production includes four factories, two of which are located in Ukraine, one in Turkey and one in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements. The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission. Reponsibilities: Recommend actions to meet budget targets and identify opportunities to make optimal use of company resources. Prepare accurate monthly P&L and C&F projections and support the company’s budgeting and forecasting processes. Analyze actual financial performance against budget and forecasts, identify key variances, risks, and opportunities, and provide actionable recommendations. Monitor costs, identify optimization opportunities, and contribute to cost-control initiatives across the business. Support month-end and year-end closing processes, ensuring accuracy and completeness of financial data. Maintain high standards of financial reporting and transaction control, ensuring data quality and consistency. Analyze existing business and financial processes and identify opportunities for process improvement and automation. Develop financial models, business cases, and valuations to support new projects and investment decisions. Prepare financial analysis and insights to support data-driven management decisions. Qualifications: Strong analytical and problem-solving skills with the ability to work with large amounts of financial data. Strong numerical skills and attention to detail. Ability to interpret financial results, identify trends, and translate data into clear business insights and recommendations. Highly organized, proactive, and results-oriented approach to work. Solid understanding of P&L, Cash Flow, budgeting, forecasting, and variance analysis. Experience in financial controlling, FP&A, management accounting, or a similar finance role. Experience in a large manufacturing or international company would be a strong advantage. Advanced Microsoft Excel skills, including Power Pivot, Power Query, and PivotTables. Practical experience with Power BI for financial analysis and reporting. English level: B2+ We offer: Opportunity to work in one of the most recognized and innovative security manufacturers. Opportunity to take on new challenges, advance your career, and make a meaningful impact. Opportunity to be part of a fast-paced and dynamic environment that encourages creativity, critical thinking, and the exploration of new ideas.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Tavily at Nebius In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention) and find the drivers behind them . You'll work directly with our CEO and leadership as a thought partner on product and growth decisions. This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM. What You'll Do • Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn. • Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization. • Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets. • Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows. • Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment. • Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For (Must-Haves) • 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent. • 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics. • A strong statistical foundation. • A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation. • Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment. • Comfort working with large, messy, event-level datasets. • Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). • Experience with pricing and packaging analysis or usage-based billing models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc / PhD in Statistics / Math / CS or equivalent. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,000 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.