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На связи компания Aston и мы находимся в поиске System Analyst на проект к заказчику!
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Ищем продуктового аналитика CRM-системы, который умеет пройти весь путь сам: бизнес пришёл с запросом → вы разобрались, какая за ним задача → определили сегмент и механику → собрали сценарий в CRM → запустили → посмотрели на результат → поняли, что можно улучшить.
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Andersen Lab ищет опытного системного аналитика с навыками Product Owner для участия в проекте, связанном с созданием корпоративных интеграций для международной компании, работающей в сфере финансовых и охранных услуг. Кандидат должен обладать уровнем Middle или Senior и готов работать удаленно из любой точки мира. В рамках роли предстоит анализировать системы и управлять продуктом, обеспечивая эффективное взаимодействие между бизнес-требованиями и технической реализацией.
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Вакансия Системный аналитик (middle) в аутстафф на удаленку из РФ, самозанятость/ИП РФ, проект мобильный финтех.
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▪️Роль #BusinessAnalyst.
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-Проектировать новые процессы и функционал микросервисов в рамках сервисной платформы, координировать работы команды разработчиков и решать оперативные вопросы по функционалу сервисов в зоне ответственности. -Проектировать клиентские пути и пользовательские интерфейсы (UI) для операторов, сопровождающих процессы.
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Задачи: — Регулярная отчетность по продажам, ассортименту, запасам, промо и ценам — Построение витрин данных для товарных направлений — Подготовка выводов и рекомендаций — Анализ эффективности акций: uplift, влияние на маржу, каннибализация — Анализ ассортимента: ABC/XYZ, локомотивы, балласт, недостающие SKU — Анализ запасов: дефициты, излишки, оборачиваемость, неликвид — Анализ цен: конкуренты, эластичность, влияние цены на продажи — Аналитика каналов продаж: маркетплейсы, офлайн, опт — Контроль качества данных: корректность SKU, категорий, цен справочников — Поддержка категорийных менеджеров и маркетинга данными и выводами — Настройка алертов по ключевым товарным метрикам — Участие в создании единой системы товарной аналитики холдинга Требования: — Опыт в товарной аналитике: продажи, ассортимент, запасы, промо, цены — Уверенная работа с SQL (ClickHouse / PostgreSQL / BigQuery) — Опыт построения отчетов и витрин (Power BI / Superset / Datalens / Tableau) — Опыт работы с 1С на уровне выгрузки данных и понимания структуры регистров — Понимание товарных метрик: оборачиваемость, маржинальность, out‑of‑stock, overstock, неликвид — Понимание unit‑экономики товаров: вклад SKU в прибыль, эффективность акций — Опыт работы с большими таблицами и сложными связями данных (SKU, категории, каналы) — Понимание принципов единой системы аналитики: справочники, легенда метрик, единые определения — Навык проверки качества данных: поиск ошибок, несостыковок, дубликатов, некорректных SKU — Базовые навыки статистики: сезонность, тренды, простые прогнозы — Аккуратность и внимательность к деталям Будет плюсом: — Опыт в e‑commerce, ритейле, FMCG или дистрибуции — Опыт работы с большим ассортиментом (1000+ SKU) — Опыт анализа промо‑акций и их эффективности — Навыки Data Science: прогнозирование спроса, uplift промо — Опыт внедрения единой легенды метрик Условия: — Официальное оформление по ТК РФ с первого рабочего дня — График работы: понедельник-пятница, 10:00 — 19:00, формат работы готовы обсуждать индивидуально — ДМС — Корпоративная скидка на продукцию компании — Современный и комфортный офис в районе м. Преображенская площадь (БЦ Прео 8, Преображенская пл., 8) — Корпоративы (выездные и в офисе), лиги игр, различные клубы по интересам
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Обязанности: — Разработка и поддержка витрин данных по продуктам страхования — Построение воронок прохождения этапов в мобильном приложении — Написание чистого кода и автоматизированных пайплайнов отчётности с последующей передачей команде ПРОМ-разработки — Формирование требований/заявок на ПРОМ-реализацию, взаимодействие с разработчиком ПРОМ-витрин на этапе внедрения — Плотная коммуникация с командами-заказчиками для сбора и уточнения потребностей в аналитике (в т.ч. размытых бизнес-требований) — Ad-hoc аналитика по запросам бизнеса — Периодически — клиентская аналитика в страховом направлении — Постепенный перевод проверенных временем решений в ПРОМ и интеграция с «Навигатором» Требования: — Опыт работы аналитиком данных от 1–3 лет в компаниях финансового сектора (банки/страховые) — Уверенный SQL, опыт работы с Greenplum — Python — для автоматизаций, выгрузок, трансформаций данных — Умение строить простые ML-модели (регрессия, классификация) — Опыт работы с Hadoop/Hive/Spark — Excel продвинутого уровня: сводные таблицы, составные формулы, ВПР, элементы прогнозирования — Базовые навыки сборки pipeline/отчетов/дэшей — Готовность работать с CI/CD — Инструментальное владение AI для анализа, генерации и автоматизации — Понимание страховых продуктов, банковского сектора Условия: — Гибридный формат работы (современный офис в Москве на метро Проспект мира) — Льготные ипотечные условия кредитования — Подписка Прайм с возможностью совместного использования на трёх близких — Скидки на продукты компаний – партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие — ДМС с первого дня и скидки на страхование для близких — Корпоративная пенсионная программа — Детский отдых и подарки за счет Компании — Обучение за счет Компании, Онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификаци.
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Задачи: — анализ, подготовка описаний процессов продукта, обеспечение условий для успешного согласования процесса — коммуникации и согласование решений с заказчиками, смежными АС, дирекциями по вопросам относящимся к продукту — составление сценариев тестирования, наборов данных для проверки функционала проекта/релиза. Требования: — знание методик и практический опыт создания описаний бизнес-процессов (ARIS, BPMN) — опыт тестирования ИТ-решений — умение работать с Atlassian Confluence, Jira — опыт постановки требований к ИТ-решениям. Будет плюсом: — знание SQ, создание ER-диаграмм, понимание принципов в сети — опыт работы в премиальных каналах — навыки работы с генеративными AI-моделями. Условия: — комфортный современный офис: Кутузовский пр., 32, к.1 — гибкий график работы: 4 дня в офисе/1 - удаленно — 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
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Задачи: — Анализировать технические, пользовательские и экономические события, связанные с работой сервисов и дата-продуктов — Строить и развивать аналитические витрины — Определять и рассчитывать SLI/SLO и другие показатели надежности — Анализировать доступность сервисов, время отклика, уровень ошибок, использование и стоимость эксплуатации — Выявлять аномалии, закономерности и точки ухудшения показателей — Проводить анализ с использованием SQL, Python и статистических методов — Создавать понятные дашборды, отчеты и рекомендации для владельцев сервисов и дата-продуктов — Оценивать эффект реализованных инициатив: изменение базовых показателей, MTTD/MTTR, полноту сигналов, долю полезных рекомендаций и экономический эффект Требования: — Опыт аналитики данных и построения аналитических витрин — Уверенное знание SQL — Практический опыт анализа данных с использованием Python — Понимание принципов мониторинга и оценки надежности IT-сервисов — Опыт работы с SLI/SLO или аналогичными показателями — Опыт анализа доступности, времени отклика, ошибок и нагрузки — Владение статистическими методами анализа Будет преимуществом: — Опыт работы с SLA, MTTD, MTTR — Опыт аналитики в командах мониторинга, эксплуатации или надежности сервисов — Опыт анализа стоимости эксплуатации IT-сервисов — Опыт анализа временных рядов — Опыт работы с высоконагруженными или распределенными системами Условия: — Внутренние семинары, митапы, обучение — ДМС со стоматологией для сотрудников и скидка на покупку ДМС для ближайших членов семьи — Техника для комфортной работы — Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника
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Задачи: — Настройка корректного трекинга событий: пиксели, метрики, UTM‑метки, пользовательские действия — Построение воронок: регистрация, авторизация, покупка, переходы, отвалы — Создание отчетности по конверсиям: по страницам, по каналам, по кампаниям — Анализ пути пользователя: источник > покупка > повторное действие — Отчетность по рекламным кампаниям: эффективность каждого креатива, источника, кампании — Настройка алертов по аномалиям в конверсиях и событиях — Регулярные исследования поведения пользователей: отвалы, конверсии, влияние изменений — Подготовка рекомендаций: что улучшить в UX, что влияет на конверсии, где узкие места — Коммуникация с маркетингом, продуктом, разработкой – единый трекинг требует синхронизации Требования: — Опыт веб‑аналитики: настройка событий, пикселей, трекинга, UTM‑меток, атрибуции — Опыт построения воронок: регистрация, авторизация, покупка, переходы между страницами, отвала пользователей — Опыт работы с системами веб‑аналитики: Яндекс Метрика, Google Analytics, Amplitude, AppMetrica, GTM — Уверенная работа с SQL (ClickHouse / PostgreSQL / BigQuery) – построение воронок, когорт, путей — Опыт построения витрин и дашбордов (Power BI / Superset / Datalens) — Понимание принципов корректного сбора данных: единые события, единые названия, единая легенда метрик — Опыт анализа рекламных кампаний: post‑click конверсии, эффективность источников, путь пользователя — Понимание продуктовых метрик: MAU/WAU/DAU, конверсии, ретеншен, LTV, CPA, ROMI — Опыт A/B‑тестирования: постановка, анализ, интерпретация результатов — Системность и структурность – умение выстраивать единый трекинг и единые правила Будет плюсом: — Опыт работы с API рекламных систем (Яндекс.Директ, VK Ads, Google Ads) — Опыт в e‑commerce, маркетплейсах, медийных проектах — Опыт построения сквозной аналитики и конструкторов воронок — Навыки Data Science и опыт работы с Amplitude / Mixpanel / AppMetrica — Опыт работы с большим трафиком и сложными пользовательскими путями Условия: — Официальное оформление по ТК РФ с первого рабочего дня — График работы: понедельник-пятница, 10:00 — 19:00, формат работы готовы обсуждать индивидуально — Сильную среду для роста - поддерживаем развитие, формируем доступ к актуальной профессиональной экспертизе — Заботу о здоровье - ДМС — Корпоративную скидку на продукцию компании — Офис - современный и комфортный офис в районе м. Преображенская площадь(БЦ Прео 8, Преображенская пл., 8) — Корпоративы (выездные и в офисе), лиги игр, различные клубы по интересам — Команду, с которой можно реализовывать по-настоящему масштабные задачи
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Задачи: — Аналитически поддерживать продажи и маркетинг. — Обеспечивать данными для выполнения расчетов. — Формировать гипотезы, создавать модели для проверки гипотез. — Визуализировать, формировать ТЗ и требования для IT и 1С. — Разрабатывать и поддерживать актуальность дашбордов с KPI и различными метриками. — Анализировать и доносить результаты анализа с предложениями по изменению. — Лидировать разработку, тестирование и внедрение изменений в тесной взаимосвязи с маркетингом, IT, отделами продаж. Требования: — Высшее техническое (программирование) или экономическое образование. — Умение разбираться в сложных процессах, упрощать и последовательно выстраивать до результата процесса 1 и 0. — Опыт разработки или развития BI. — Опыт использования методов статистического анализа, построения моделей, тестирования гипотез. — Опыт визуализации и автоматизации KPI. — Опыт обработки больших массивов данных. — Знание инструментария Microsoft SQL, Power BI. — Опыт проектного внедрения изменений. — Опыт работы в команде. Условия: — Конкурентный уровень дохода (оклад + KPI); — Дружный сплоченный коллектив профессионалов; — Возможность влиять на процессы, принимать решения и реализовывать свои идеи; — График работы с 9:00 до 18:00 5/2, по пятницам до 17.
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Location: USA - New York From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work . This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. New York Pay Range $119,641 — $143,575 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive and organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk without heavy oversight. Bonus Skills Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $119,641 — $143,575 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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Задачи: — Проходить онбординг, знакомиться с ментором и тим-лидом, погружаться в курс дела — Получать первые боевые задачи на дизайн или оценку экспериментов с поддержкой ментора — Продумывать дизайн A/B-тестов на магазинах или лояльных клиентах и интерпретировать их результаты — Помогать руководителям инициатив в оценке экспериментов — Исследовать новые подходы к оценкам A/B-тестов, преимущество — знания статистики и causal inference — Помогать развивать core-библиотеку для оценки и дизайна A/B-тестов — Решать различные ad-hoc запросы: эконометрические задачи, модели прогнозирования, рекомендательные системы Требования: — Понимание термина "ad-hoc" и его сути — Уверенное владение Python (pandas, numpy, matplotlib и базовый набор для аналитики данных) — Знание SQL (join'ы, оконные функции) — Знание статистики и основ машинного обучения — Аналитический склад ума, наблюдательность, умение внимательно анализировать — Желательно, но не обязательно, любовь к мемам — Преимущество — владение бигдатой Условия: — Продолжительность стажировки 6 месяцев, full-time (40 часов в неделю) — Удаленная работа с возможностью работать из офиса в Москве — Оклад 100 тыс. рублей, gross — Помощь менторов на всем этапе стажировки — Коллектив, атмосфера, оффлайн-тимбилдинги — Технический стек: Hadoop, Hive, Spark; данные хранятся в Hadoop — Оборудование: 2 сервера Intel Xeon 32Core 256 GB RAM Bare Metal, ноутбуки HP / Dell — Влияние на бизнес: задачи затрагивают более 22000 магазинов по всей стране — Data Science — ключевое направление компании — Роль дата-сайентиста: полный цикл от понимания бизнес-потребности до внедрения решений — Регулярные встречи 3-4 часа в неделю, не мешают работе — Карьерный рост по результатам performance review два раза в год — Задачи могут быть исследовательскими и продуктивными — На этапе стажировки роль сервисная Контакт для отклика: tg @Zzzelar https://t.me/Zzzelar
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Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on both companies' strengths while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Pricing & Order Operations Analyst to join our Order Operations & Monetization team. This role restores dedicated capacity for pricing and order operations testing, quote-to-cash (QTC) release validation, and order execution support. You’ll help ensure system changes are tested, validated, and operationally ready before they go live. You’ll provide Pricing and Order Operations subject-matter expertise and execute assigned business validation across signature packets, bookings, marketplace offers, and booking-to-order management handoffs. This role partners closely with Order Operations & Monetization, IT’s business systems team, Pricing Operations, Sales, and Deal Desk. Reporting & Prioritization Reports to the Order Operations & Monetization lead, Jamie Calkins. The Senior Pricing Operations Manager may help prioritize pricing-related test cases and QTC issues tied specifically to pricing and quoting. The Order Operations & Monetization lead owns final prioritization of the analyst’s workload across order operations, assigned non-pricing UAT participation, and pricing-related support work. This is a hybrid role, 1-2 days in the office. Technologies You’ll Use Salesforce CPQ Jira Suger and marketplace user interfaces, including AWS, Azure, GCP, and Snowflake Notion Metronome Hex What You’ll Do Pricing Operations & QTC Support Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation, helping ensure pricing logic is accurately reflected in QTC workflows. Validate pricing-related QTC changes across quoting, approvals, discounting logic, product configuration, and downstream order execution. Help confirm that pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows. Partner with the Senior Pricing Operations Manager to prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior. Help maintain documentation for pricing- and order-related system configurations, known dependencies, and release-readiness criteria. UAT & Testing Participate as a Pricing and Order Operations subject-matter expert in UAT project-managed by Technical Program Management (TPM) and executed under RevOps coordination, ensuring relevant business scenarios and expected outcomes are represented. Execute assigned Pricing and Order Operations test cases and collaborate with the GTM subject-matter experts identified by RevOps. Partner with RevOps and relevant subject-matter experts to develop and maintain Pricing and Order Operations test cases, including scenarios for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management. Document test results and defects with clear traceability from business requirement to test outcome, and provide domain-specific readiness input through the established UAT sign-off process. Maintain the Pricing and Order Operations portion of the regression test suite for recurring QTC changes. Order Operations Operate under defined business requirements for order operations rules within the QTC flow, validating execution across signature packet generation and e-signature routing, booking rules, marketplace offer configuration—including AWS, Azure, GCP, and Snowflake—and the booking-to-order management handoff. Partner with IT’s business systems team and the Proposal-to-Order Lead to keep order operations rules aligned with upstream pricing and quoting logic and downstream billing and revenue systems. Ensure signature packets and marketplace offers accurately reflect the underlying order and pricing terms before execution. Identify and troubleshoot order operations issues across bookings, signature packets, and marketplace offers, escalating systemic problems to the appropriate system owner. Skills We’re Looking For 2–3 years of experience in pricing operations, order operations, business systems analysis, or quality assurance within an agile environment, ideally involving quote-to-cash processes. Working knowledge of Salesforce CPQ and order management or billing systems, with the ability to read and understand configuration logic without necessarily building it directly. Strong attention to detail and comfort performing structured, repeatable testing work. Comfort using conversational AI tools—such as Claude, ChatGPT, or internal chatbots—to support daily and project work, combined with sound judgment about when human review or decision-making is necessary. Clear written communication skills, with the ability to document test cases, defects, and sign-off criteria for technical and business audiences. A proactive, organized approach, with the ability to work across IT, Pricing and Order Operations, and Sales and Deal Desk with minimal oversight. Bonus Skills Exposure to Revenue Recognition or Professional Services systems and processes. #LI-REMOTE #LI-MM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range $104,036 — $124,848 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We're looking for a Data Analyst, Regulatory Analytics and Reporting to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission! THE OPPORTUNITY - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling WHAT YOU BRING - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document NICE TO HAVES - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
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