Вакансии

Задачи: — Разрабатывать и автоматизировать модель расчёта маршрутов отгрузок. — Считать количество машин по каждому маршруту и определять наиболее выгодные маршруты. — Добавлять в модель новые факторы, влияющие на планирование. — Анализировать даты запуска направлений отгрузок и расписание отгрузок с логистических точек. — Рассчитывать утилизацию машин по литрам и килограммам. Требования: — Опыт построения аналитических моделей на коде и на базе данных (скрипты, витрины данных, технически насыщенная аналитика). — Уверенное владение Python и SQL. — Понимание принципов работы с данными и умение выстраивать расчёты. — Навыки работы с Excel. Будет плюсом: — Опыт в смежных областях: логистика/международная логистика. — Английский язык.

Задачи: — Коммуникации с бизнес-владельцами процессов, функциональными заказчиками и ключевыми пользователями; — Аналитика текущего состояния бизнес-процессов, описание моделей существующих бизнес-процессов («as is», «to be»), выявление и анализ проблем по ним, определение ключевых метрик результативности; — Работа с требованиями к автоматизации (сбор, систематизация, приоритизация, ТЗ), валидация в рамках ИТ-проектов; — Разработка тестовых сценариев, участие в тестировании и сопровождение пользовательского тестирования; — Подготовка документации: от функционального дизайна до инструкций; — Обеспечение внедрения изменений; — Создание и актуализация базы нормативных документов; — Проведение демо бизнес-заказчикам; — Консультирование пользователей по работе с системой, обучение новому функционалу. Требования: — Опыт работы бизнес аналитиком/консультантом-аналитиком от 3 лет; — Реализованные проекты в ритейле, логистике, цепочках поставок; — Знание основных процессов и операционных показателей ритейла; — Знание цикла разработки; — Опыт постановки задач команде разработки; — Высокий уровень самостоятельности; — Знание средств моделирования бизнес-процессов, принципов разработки инструкций, регламентов и пр; — Опыт работы с интеграциями (веб-сервисы REST, SOAP, очереди сообщений, брокеры); — Знание форматов обмена данных JSON, XML; — Опыт работы с различными СУБД. Условия: — Стабильность и гарантии — оформление в соответствии с ТК РФ; — Своевременная выплата заработной платы: оклад + премия; — Место работы: БЦ «Омега Плаза», ул. Ленинская слобода, д. 19; — График работы: 5/2 с 9.00 до 18.00; — Гибридный формат работы после испытательного срока (4 дня в офисе, 1 день удаленно); — Полис ДМС через 3 месяца работы в компании; — Скидки на покупки в сети магазинов «Подружка», скидки у компаний партнеров; — Доступ к сервису корпоративных скидок и привилегий Best Benefits; — Корпоративная жизнь с праздниками, подарками и мероприятиями.

Задачи: — Декомпозиция бизнес-задач проекта модельного прайсинга. — Проектирование сквозной логики формирования и изменения индивидуальных ценовых условий. — Формализация бизнес-правил, ограничений, зависимостей и исключений. — Совместная работа с командами моделей по требованиям к модельным показателям и правилам их использования. — Формирование требований к данным и интеграциям между системами. — Подготовка и сопровождение бизнес-требований, BPMN-схем, таблиц решений, табличных описаний процессов и критериев приемки. Требования: — Опыт работы бизнес-аналитиком от 5 лет, в крупных ИТ-проектах (финтех, банки). — Опыт работы с кредитными процессами, рисками, ценообразованием, тарифами или персонализированными предложениями. — Опыт описания процессов в BPMN. — Понимание основных типов ML моделей: склонность, отток, чувствительность к цене, эластичность, прогноз объемов, сегментация. — Уверенное знание SQL для анализа данных и проверки гипотез. Условия: — Удаленный формат работы в РФ (возможен офис/гибрид при согласовании). — Оформление по ТК РФ. — График: 5/2. — Непрерывное обучение и повышение квалификации. — Посещение профильных конференций. — ДМС.

Задачи: — Анализ и оптимизация бизнес-процессов: погружаться в текущие процессы департамента, выявлять проблемы и точки роста, предлагать и согласовывать улучшения. — Сбор и формализация бизнес-требований: общаться с сотрудниками и заказчиками, выявлять реальные потребности, описывать бизнес-логику, сценарии и ожидаемый результат. — Реализация целевых решений: подбирать инструменты автоматизации, готовить ТЗ для разработки, самостоятельно настраивать CRM, no-code сервисы, прототипы дашбордов и проверять соответствие результата требованиям. — Работа с данными и оценка результатов: определять нужные метрики, анализировать данные до и после изменений, оценивать эффект и проводить контрольное исследование через 1–3 месяца. — Работа с внутренними заказчиками: помогать формулировать задачи, выбирать решения, приоритизировать запросы с учётом экономики и трудозатрат, управлять ожиданиями по срокам и объёму работ. Требования: — Знание нотации BPMN; — Excel (Google sheets) на продвинутом уровне; — Понимание логики построения баз данных и основ работы с данными; — Аналитическое и критическое мышление; — Работа в режиме многозадачности; — Коммуникабельность и проведение интервью с бизнес-заказчиками; — Презентация (описание/аргументация/защита) проектов и решений; — Готовность самостоятельно и быстро осваивать новые навыки; — Готовность погружаться в различные аспекты деятельности компании и учитывать различные факторы (экономические, юридические, медицинские, технические, управленческие) при принятии решений и построении процессов; — Моделирование и отрисовка бизнес-процессов. Будет плюсом: — Опыт работы с Битрикс24; — Базовое знание SQL; — Понимание основ программирования (знание какого-либо языка программирования или no-code / low-code сервисов (zapier/ integromat/ MS power automate и т.д.)). Условия: — Официальное оформление по ТК РФ, стабильные выплаты, оплату больничного и отпуска; — Бесплатный доступ к сервису телемедицины - возможность консультироваться с профильными врачами, не выходя из дома; — Корпоративное медицинское решение со стоматологией и психологами; — Английский с корпоративным преподавателем и скидки на изучение языков в Skyeng; — Доступ к СберУниверситету; — Льготные условия ипотечного кредитования от Сбер; — Оплата профильного обучения и конференций.

Задачи: — Анализ внутренних показателей маркетплейсов; — Работа с базами данных: написание запросов с помощью Power Querty, Power Pivot; — Интегрирование данных из разных источников; — Участие в автоматизации загрузки и обновления данных, контроль корректности и полноты данных; — Работа с данными из 1С и личных кабинетов маркетплейсов: формирование выгрузки, объединение с данными маркетплейсов, контроль качества данных; — Ведение отчетности о динамике расходов и эффективности использования рекламного бюджета маркетплейсов; — Мониторинг конкурентов, анализ: категорий, товаров, цен, активностей; — Сбор и анализ Unit - экономики; — Разработка калькулятора для расчета количества товара для распределения по складам, расчета цен; — Подготовка презентаций, отчетов, графиков, рекомендаций; — Построение дашбордов и визуализация данных; — Разработка комплексной модели ценообразования маркетплейсов и автоматизация данного процесса; Требования: — Знание основных показателей продаж, принципов формирования аналитических показателей и отчетов, порядок ценообразования; — Отличное знание Excel, сводные таблицы, VBA, BI системы; — Опыт написания запросов с помощью Power Query, Power Pivot; — Знание Python (Pandas, Matplotlib), интерес к ML технологии; — Умение структурировать, систематизировать и интерпретировать данные и предлагать actionable insights; — Аналитическое мышление, внимательность, умение видеть закономерности; Условия: — Работа в крупной производственной компании (30 лет на рынке РФ); — Перспективы для профессионального развития и карьерного роста; — Официальное оформление по ТК РФ; — График работы: 5/2 c 9-00 до 18-00 (ОФИС); — Насыщенная корпоративная жизнь: тематические пятницы, экскурсии по Москве и на производство компании, квизы, настольные игры, ENGLISH CLUB и др.; — Скидки на продукцию компании для сотрудников и новогодние подарки для детей; — Комфортный офис в 5 минутах ходьбы от м.Сокол;

Задачи: — Анализировать текущие бизнес-процессы компании и описывать их в формате As-Is; — Находить лишние этапы, ручные операции, дублирование, узкие места и причины ошибок; — Проектировать целевые процессы To-Be; — Не автоматизировать существующий процесс «как есть», а сначала определять, как он должен работать оптимально; — Формализовывать бизнес-правила и исключения, которые сейчас могут существовать только в знаниях сотрудников; — Определять, какие этапы процесса можно автоматизировать средствами 1С, BPM/low-code систем, CRM, интеграций и других корпоративных решений; — Искать процессы, где применение AI / LLM / AI-агентов может дать реальный бизнес-эффект; — Формировать требования и ставить задачи разработчикам; — Работать в связке с 1С-разработчиками, внутренней разработкой и внешними подрядчиками; — Участвовать в проектировании интеграций между 1С, CRM, сайтом, e-commerce, ЭДО, EDI, внутренними сервисами и другими системами; — Тестировать внедрённые решения и принимать результат; — Сопровождать запуск новых процессов и обучать пользователей; — После внедрения оценивать результат: скорость процесса, количество ручных операций, ошибки, исключения и экономический эффект. Требования: — Практический опыт анализа и перестройки бизнес-процессов As-Is / To-Be; — Опыт реального внедрения изменений, а не только сбора требований и подготовки ТЗ; — Опыт постановки задач разработчикам и сопровождения разработки до запуска; — Понимание 1С на уровне бизнес-аналитика; — Понимание принципов работы BPM / low-code систем; — Базовое понимание API, интеграций и структуры данных; — Опыт работы с CRM, ERP, e-commerce или другими корпоративными системами будет преимуществом; — Практический опыт работы с LLM / AI-инструментами и понимание сценариев их применения в бизнес-процессах; — Умение оценивать результат внедрения в понятных бизнес-показателях. Результат работы — не схема процесса и не написанное ТЗ, а реально внедрённое изменение, которое сделало процесс быстрее, проще и менее зависимым от ручного труда. Условия: — Оформление по ТК РФ с первого рабочего дня; — График 5/2 с 10:00 до 18:00, работа в офисе; — Около 5 минут пешком от метро Аэропорт; — Работа с процессами разных подразделений компании — продажи, закупки, финансы, HR, логистика, сервис и другие функции; — Инструменты: Pyrus, 1С, API, корпоративные системы, AI-инструменты и агенты; — Изменения в процессах поддерживаются руководством, поэтому решения можно доводить до запуска, а не оставлять на уровне схем и ТЗ; — За достижения сотрудники получают фирменные монеты и могут обменивать их на ДМС, спорт, обучение, путешествия и подарочные карты.

Задачи: — Анализировать текущие бизнес-процессы и предлагать улучшения. — Помогать в формировании решений по автоматизации работы компании. — Оказывать методологическую поддержку: консультировать сотрудников, готовить инструкции и материалы. — Определять, какие процессы нужно автоматизировать, и собирать требования от подразделений. — Оценивать предложения по доработке и развитию используемого программного обеспечения. — Формировать рекомендации по развитию информационных систем для учёта и контроля. Требования: — Знание основ бухгалтерского учёта/МСФО и опыт работы на рынке коллективных инвестиций. — Опыт разработки бизнес-требований на доработку программного обеспечения. — Навыки разработки бизнес-процессов, бизнес-требований и написания регламентирующих документов. — Знание нотаций описания процессов (BPM, EPС, etc.). Условия: — Работа в компании с опытом более 25-ти лет и занимающей лидирующую позицию на рынке спецдепозитарных услуг. — Современный комфортабельный офис - м.Шаболовская (5 минут от метро). — График работы Пн-Пт с 9.00 до 18.00 (есть возможность изменения рабочего времени начала и окончания рабочего дня), возможен удаленный график работы. — Полное соблюдение ТК РФ. — Отличные возможности для профессионального развития и самореализации. — Индивидуальный социальный пакет (возможность выбора различных услуг: ДМС, оплата обедов, оплата театральных билетов, авиа/железнодорожных билетов, проездных абонементов и др.). — Насыщенная корпоративная жизнь как для сотрудников так и для их детей.

Задачи: — Участие в работе с Заказчиком и Соисполнителями (ДЗО ПАО «Ростелеком») по комплексным проектам создания Единой информационной системы для Госзаказчиков; — Ведение переговоров с внешним или внутренним бизнес-заказчиками, формирование и уточнение требований заказчика в ТЗ/ТТ; — Оптимизация и внедрение бизнес-процессов, необходимых для реализации проекта; — Проведение обследований/сбор требований на территории Заказчика; — Анализ полученных данных, структурирование; — Анализ бизнес-процессов и выявление узких мест; — Формализация и актуализация требований; — Подготовка, согласование и актуализация проектной, пользовательской, технической и эксплуатационной документации; — Ведение внутренних артефактов по проекту; — Оперативное планирование и приоритизация работ; — Взаимодействие с архитектором и командой разработки по определению приоритетов реализации системы; — Приёмка конечного результата у команды разработки и верификация его соответствия требованиям заказчика; — Ведение деловой переписки и формирование аналитических справок по запросу руководства. Требования: — Опыт работы аналитиком от 5 лет; — Знание жизненного цикла разработки ПО, создания ГИС; — Опыт моделирования бизнес-процессов (BPMN, UML); — Умение фиксировать требования, формировать на их основе задания и спецификации; — Умение выявлять закономерности, делать выводы; — Опыт формализации требований в виде структурированных документов; — Умение и готовность работать в условиях многозадачности и сжатых сроков; — Умение работать в команде; — Ответственность, коммуникабельность, стрессоустойчивость, организованность, внимание к деталям; — Навыки организовывать и поддерживать порядок в проектах и рабочей документации; — Опыт работы и анализа больших объёмов данных (продвинутый пользователь MS Office или иных редакторов текстовых документов); — Опыт ведения проектных работ в Jira, опыт работы с Confluence, Camunda, Figma, Drawio, инструменты ИИ; — Развитые навыки эффективной коммуникации; — Способность свободно общаться с техническими экспертами и разработчиками; — Высокий уровень самостоятельности и инициативности. Будет преимуществом: — Наличие в портфолио подтвержденных реализованных крупных комплексных проектов B2B и B2G; — Проверка (самостоятельная разработка при необходимости) написанной технической и проектной документации в соответствии с ГОСТ 34 и ГОСТ 19; — Знание основных нормативных актов законодательства РФ в области ИТ и ИБ. Условия: — Гибридный формат работы. — Прозрачный и стабильный доход: размер заработной платы обсуждается по итогам собеседования + годовая премия. — «Кафетерий льгот» с возможностью выбора категорий (ДМС или компенсация медицинских услуг по чекам, компенсация затрат на спорт, на изучение иностранного языка, дополнительные выплаты к отпуску и дню рождения, онлайн-обучение и др.), компенсация мобильной связи.

Задачи: — Ведение до 10 текущих отчетов в гугл- и Excel-таблицах (рейтинги, светофор, эффективность бренд менеджеров, продажи и др), а также составление новых при необходимости. — Прогнозирование продаж и проектов в рейтингах для рассчета KPI сотрудников, подведение итогов по премиальным контрактам. — Ведение бюджета Редакции (составление плана, сведение отчетов по фактам затрат, контроль заполнения статей бюджета во внутренней системе). — Внесение бюджета в маркетинговый ХАБ. — Решение ad-hoc запросов от маркетологов и PR-менеджеров отдела, а также подготовка выкладок по запросу отдела корпоративного пиара. Требования: — Высшее образование — Знание базовых формул, умение писать составные формулы, владение ВПР и условным форматированием с помощью формул, сводными таблицами. — Отличные коммуникационные навыки. — Аналитические и креативные способности. Условия: — Ставка декретная, но пусть вас это не пугает. — В отделе есть возможности для развития и получения нового опыта для дальнейшего построения карьеры. — Оклад, премирование по системе KPI. — Комфортная корпоративная среда и культура. — Обучение и профессиональное развитие, внутренние и внешние курсы и тренинги. — Социальный пакет: добровольное медицинское страхование и страхование выезжающих за рубеж, программы заботы о здоровье, занятия спортом, значительная скидка на книги и другую продукцию издательства. — Месторасположение офиса: м. Полежаевская/Хорошевская или МЦК Хорошево (шаговая доступность от метро).

Задачи: — анализировать продуктовые требования/ПМИ/ПСИ и составлять use cases; — проводить разные виды тестирования: e2e, fail-over; — составлять тест-кейсы, тест-планы на продукт, как на новый функционал, так и на существующий; — принимать участие в совместных тестах, в т.ч. на площадке заказчика и взаимодействовать с командами разработки/L3/сервиса/документации. Требования: — экспертное знание и практический опыт работы с сетевыми протоколами, применяемыми в ЦОДах (MCLAG, BGP, OSPF, VxLAN и пр.) и офисах; — опыт работы с оборудованием Cisco, Huawei, Juniper и т.д.; — опыт составления/прохождения ПМИ/ПСИ; — опыт в тестировании/QA; — опыт траблшутинга сетевых проблем. Будет плюсом (любой из пунктов): — опыт тестирования сетевых устройств (коммутаторов/маршрутизаторов); — опыт разработки сетевой архитектуры/реализации проектов ее внедрения; — знание тенденций современных сетевых технологий, например: устройств на основе Open vSwitch, SDN; — курсы/сертификация Cisco CCNA, Juniper JNCIA, Huawei Certified ICT Professional/Expert (HCIP/HCIE) for Datacom, Ericsson Extreme.

Location: Denver, CO, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview: Fanatics Betting & Gaming (FBG) is hiring a Senior Analyst, Operations Automation to dig into the customer experience inside our AI agent conversations. Containment and resolution are the numbers you'll live in, and you'll work them at a level of detail nobody else here has time for: one case type, then one subtype, then the next one. In practice that means picking up a subtype with your manager, reading through a stack of real conversations, and working out what's actually going wrong. Sometimes customers get stuck in the same spot over and over. Sometimes a live agent clears the same contact in two minutes because they can check something the AI can't reach yet. Sometimes the AI is doing roughly the right thing badly: the tone is off, the knowledge article behind it is thin, or the prompt is pushing it down the wrong path. Finding the problem is half the job. The other half is making the case for the fix — what it's costing us now, what the fix is worth, and a story clear enough that a Product partner can act on it. You'll build that case and bring it into intake alongside your manager. We would rather hire someone solid at both halves than someone brilliant at one. This is a role where you learn the craft of AI customer experience with real ownership of the analysis from day one. You'll sit on the team that owns FBG's AI customer experience and work with Data, Quality, Product, and CX week to week. Responsibilities: Maintain and report the key metrics for our customer-facing AI agent — containment, resolution, deflection, escalation rate, repeat contact, and customer satisfaction at a case and subtype level. Be part of the team that stands up measurement for each new AI surface as it launches, so no surface goes live without a definition of success and the instrumentation to track it. Build and maintain the BI views and dashboards your team and Product partners use to read AI performance, and keep them accurate as products, policies, and promotions change. Write the data requirements — event definitions, tagging, table structures, and data quality checks — the metrics depend on, and partner with Data to get them built. Flag it early when a number stops being trustworthy. Knowing when your own data is wrong matters as much as reporting it. Find where customers get stuck Run deep dives at the case type and subtype level to find the stall points inside the AI interaction — where customers rephrase the same question, loop, go silent, abandon, or ask for a human, and what preceded it. Quantify each stall point so it can be ranked: how often it happens, which subtypes and markets it concentrates in, and what it costs in escalations, repeat contacts, and resolution loss. Pull together signals from more than one place — conversation data, interaction quality scores, customer and associate feedback, behavioral data, and operational metrics — into one view of what's actually driving the number. Distinguish issues worth fixing from noise, and be candid about which is which. Compare the AI to how live agents handle it Compare how live agents resolve a contact type to how the AI agent handles the same contacts, and identify what agents are doing that the AI cannot do yet — the lookups they run, the tools they touch, the actions they take. Write up each gap as a clear, specific finding: what the AI would need to close it, and the containment or resolution upside if it did. Pay attention to the escalation boundary. Where the AI hands off, look at whether it had to. Point to the right fix Sort root causes well enough to route them to the right owner and the right lever — grounding and knowledge content, prompt and instruction design, tone, tool access, handoff timing, or underlying policy ambiguity. Where the AI is already doing the right thing badly, describe the change specifically: what the grounding should say, where the tone misses, which instruction is producing the wrong behavior. Work with content, grounding, and engineering partners to get your finding specified tightly enough to be built and tested. Run recurring performance reviews on the case types you own, and keep a ranked, evidence-backed list of the opportunities in them. Build the story Turn a pile of conversations and queries into a clear, evidence-backed narrative — the pattern, the representative examples, the size of the problem, and the specific ask. Quantify the impact of a proposed fix — contacts avoided, resolution lift, handle time, cost, customer experience — with assumptions you can walk someone through. Package findings into business cases and recommendations a Product partner can act on without a translation layer, and bring them into intake with your manager. Follow what you handed off through to delivery, then measure whether it did what you said it would. Report back on what shipped, what moved, and what didn't, so the next prioritization conversation starts from evidence. Partner and communicate Work closely with Data, Product, Quality, and CX, and build the relationships that make your findings land. Translate your analysis into clear language for technical and non-technical audiences alike. Write up findings and recommendations clearly, and contribute to the leadership-facing materials your team produces. Share what you learn. Much of what you find will be new to the people around you, and writing it down so the team can use it is part of the work. Required Qualifications: 2+ years in business analytics, data analysis, business operations, customer experience analytics, or a closely related role. Strong SQL. You can independently pull, join, and validate data across large datasets without waiting on someone else to write the query. Experience owning the recurring reporting and analysis behind a metric, and being accountable for the quality of it. Experience building BI views and dashboards (Tableau, Looker, Power BI, Sigma, or similar) that other people actually use to make decisions. Ability to move from "the number moved" to "here's the specific root cause, here's roughly what it's worth, and here's what I'd fix." Diagnostic instinct matters more here than modeling sophistication. Comfort working directly in unstructured conversation data — reading transcripts at volume, spotting the pattern, and then proving it quantitatively rather than stopping at anecdote. Experience writing up findings and recommendations for partners who don't report to you, and seeing some of them acted on. Conceptual understanding of how LLM-powered systems behave — prompting, retrieval-augmented generation (RAG), knowledge grounding, and evaluation — enough to tell a grounding problem from a prompt problem from a tool gap. Clear written and verbal communication. You can write a one-pager someone reads once and understands. High intellectual curiosity and an AI-first approach to your own work. Preferred Experience: Experience analyzing conversational data from chatbots, voice systems, or agent-assist tools in production. Comfort with Snowflake, Databricks, or a comparable cloud data platform, and with dbt or similar transformation tooling. Python or R for analysis beyond what SQL handles cleanly. Background in customer experience, contact center, or support operations analytics — particularly anything that involved understanding how human agents actually resolve contacts. Hands-on experience writing or editing knowledge content, groundings, or prompts for an AI system. Experience in sports betting, gaming, fintech, payments, or another high-growth, regulated consumer industry. Experience partnering with ML or Data Science teams on evaluation frameworks, A/B testing, or experiment design. Familiarity with knowledge base architecture and how content quality drives AI answer quality. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $86,000 — $115,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Требования: — Уверенный опыт работы с данными на позиции аналитика от 4-5 лет — Опыт работы с аналогичным функционалом в Retail/FMCG в разрезе продаж, категорий — Приветствуется опыт работы в крупных компаниях производителях FMCG — Опыт работы с большими данными — Продвинутый уровень SQL и Excel, ClickHouse — Умение формировать SQL запросы без помощи нейронок — Опыт построения отчётности на базе справочников и аналитических агрегатов — Опыт постановки ТЗ для формирования отчётов — Умение находить оптимальные способы решения задачи (оптимально по скорости, затраченным ресурсам и работе с БД) — Интерес к профессии, желание развиваться и решать сложные задачи Задачи: — Работать с большим объемом данных — Разрабатывать логику аналитических выборок и отчётов — Работать с данными продаж, чеков, заказов, формировать агрегаты из транзакций, обогащать сырые данные — Писать сложные SQL запросы — Переводить бизнес-запросы в понятные технические задания для разработки отчётов, витрин — Работать с расхождениями в данных, находить и анализировать ошибки — Настраивать фильтры и метрики для BI Просьба указывать финансовые ожидания при отклике.

Location: San Francisco ABOUT THE ROLE You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data. CORE RESPONSIBILITIES - PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP. - Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive. - GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives. - Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas. - Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control. - Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail. - Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants). - Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.   MUST-HAVE QUALIFICATIONS - Bachelor’s degree in Accounting, Finance, or equivalent experience. - 4-6+ years relevant experience in FP&A/ corporate finance / finance operations - Practical, hands-on accruals experience (monthly accruals, prepayments, reversals). - Demonstrated experience with PO lifecycle and PO system operations - Strong experience performing GL drill-throughs and tracing transactions to source documentation. - Advanced Google Sheets / Excel modeling skills - Excellent attention to detail and the ability to produce defensible, audit-ready work. - Strong partnership and communication skills — able to extract needed information from stakeholders and drive action. NICE-TO-HAVE - Experience with NetSuite, Workday, Oracle, or other ERPs. - Dashboarding experience (Tableau) - Prior exposure to real estate, construction, workplace operations, or global food/amenities spend. - Demonstrated experience prototyping small automations or AI agents to accelerate work. SOFT SKILLS / COMPETENCIES - Extremely detail-oriented and process disciplined. - Independent problem solver who can escalate appropriately. - Strong prioritization and time management under competing deadlines. - Curious and technology-forward — comfortable testing small automation/agent ideas. - Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.

Location: 100 Montgomery Street, Suite 2000, San Francisco, CA 94104-4348; 1140 Avenue of the Americas 8th Floor, New York, NY 10036 Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry. Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in New York City and founded in 2007, our company has over 4,000 employees nationwide. With locations spread out across the U.S., our local market knowledge and industry expertise helps support our clients' regional and global needs. We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results. If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! JOB OVERVIEW: We're hiring an Actuary to build the pricing models behind our property insurance work, as well as working on casualty lines. You'll build, validate, and maintain actuarial and CAT models that tell us what property insurance should cost for our clients, and you'll turn that output into recommendations our brokers can use with risk managers and CFOs. Current Property experience is preferred but not required; however must have property pricing & modeling experience at some point in career. This is a hands-on modeling job. Most of your week will be spent in the data (policy info, exposures, loss runs) building and refining models that help brokers benchmark risk, sanity-check pricing, and advise clients heading into renewal. ACAS is preferred but not required. If you're a non-credentialed actuary with real property modeling chops, we want to talk to you. If you like building property pricing models and want to see your work change how clients buy insurance, this one is for you. LOCATION: Hybrid - open to 3 to 5 days a week in any of the following EPIC Office locations: New York City; San Francisco; Seattle. WHAT YOU’LL DO: • Build, validate, and maintain the actuarial and statistical models we use to price property risk, both CAT and non-CAT. • Work with a collaborative group of 10+ actuaries, geographically dispersed, with a core group located in NYC. • Use those models to produce indicated rates, layer pricing, limit adequacy reads, retention analysis, and TCOR views that feed real placement decisions. • Get hands-on with the data. That means cleaning up SOVs, loss runs, and policy schedules, and setting up workflows so the next analysis is faster than the last one. • Turn model output into something a client can read. Think slides, benchmarks, and short written narratives our brokers can put in front of a CFO without translating. • Sit with producers, property practice leaders, and clients to walk through the numbers, take the hard questions, and help shape program structure. • Pitch in on new business. Request for Proposals, prospect meetings, and any deliverable where the actuarial story matters. • Use AI to move faster and to push back on your own work. We expect you to lean on AI tools for the grunt work (data cleanup, first-pass code, drafting client narratives) and to stress-test your models with it: poke holes in assumptions, run sanity checks, and pressure-test results before they go out the door. • Keep your models documented and auditable so anyone on the team can pick them up. TOOLS YOU'LL USE: • Modeling & Simulation: @RISK, ModelRisk • CAT Platforms: Moody's RMS, Verisk AIR, Archipelago • Data & Programming: Excel, VBA, Python, R • Visualization & Mapping: Power BI, Tableau, ArcGIS • Market Intelligence: S&P Capital IQ • Presentations: PowerPoint • AI: Copilot, Claude You won't necessarily use all of these on day one. But if you've touched most of them, you'll ramp up fast. WHAT YOU’LL BRING: Credentials & Technical Skills • ACAS is preferred. If you're not credentialed, we'll still seriously consider you with at least 2 years of dedicated commercial insurance pricing or modeling work. • Real property modeling experience. You've worked on loss development, trend, frequency/severity, CAT load integration, and layer pricing, not just read about them. • Comfort with big, messy datasets. Strong Excel is table stakes. You also work in at least one of Python, R, or SQL. • You use AI in your day-to-day. Copilot, ChatGPT, Claude, whatever fits the job. You know where it saves you hours, and you know when not to trust it. • You can explain your work without jargon. If you can't get a broker or a client to follow the logic, the model doesn't matter. Experience & Education • 2+ years of actuarial work, with meaningful time spent on property pricing or modeling. • Bachelors in actuarial science, math, stats, or another quantitative field. • Brokerage, reinsurance, or carrier-side property pricing experience is a big plus. Bonus points if you've seen how actuarial work actually moves a placement. • Self-starter mindset. Our property analytics practice is growing fast, and we need people who want to help build it, not just slot into a process. Domain • You understand commercial property: how programs are structured, what a tower looks like, what TIV values actually represent, and the actuarial logic underneath it all. • You know the major CAT models (AIR, RMS) and how vendor output gets folded into pricing. Hands-on experience is great but not required. • You've seen benchmarking, limit adequacy work, and TCOR modeling used in real renewal conversations. • You're comfortable with complex programs: layered placements, quota shares, deductibles, self-insured retentions, and captives. • You can work across a lot of stakeholders at once: brokers, practice leaders, clients, and the technical team. COMPENSATION: The national average salary for this role is $150,000.00 - $200,000.00+ in base pay and exclusive of any bonuses or benefits. The base pay offered will be determined based on your experience, skills, training, certifications and education, while also considering internal equity and market data. WHY EPIC: EPIC has over 60 offices and 4,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. #LI-AT1 #LI-Hybrid (3810)

Задачи: — управление соответствием AML (Anti-Money Laundering) — проведение комплексной проверки клиентов (customer due diligence) — мониторинг транзакций — подготовка регуляторной отчетности Требования и условия в тексте не указаны.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: You'll join our GTM Systems team, which owns the systems LangChain's go-to-market actually runs on — Salesforce above all: the account and contact model, territory and routing, the sales process from first touch to closed-won, and the quote-to-cash and provisioning stack behind it. We design and ship internal product for the GTM organization. AI agents do a growing share of the building: they draft design docs, open changes, and run Salesforce deployments, while humans hold the approval gates. Build capacity — engineers plus the agent bench — sits on this team, and you'll help decide what it works on next. ABOUT THE ROLE: You'll own the requirements, prioritization, and quality bar for LangChain's Salesforce-centered GTM systems, turning ambiguous revenue-team needs into shipped process and systems changes that scale. This is not a ticket queue role. You'll be accountable for a small number of high-leverage GTM systems programs at a time: defining the problem, aligning stakeholders, specifying the solution, and ensuring what ships changes how the revenue org operates. You'll work across Sales, Marketing, Partnerships, Support, and Finance in a fast-changing environment where priorities move quickly and influence matters more than reporting lines. The core challenge is operating with authority but not control: aligning teams around tradeoffs as the business changes underneath the plan. You won't be expected to write production code. You will be expected to write clear enough specifications that engineers and AI coding agents can build from them, and to review the output with enough Salesforce and systems judgment to decide whether it is correct. Location: San Francisco Bay Area — in office 4 days a week. The people whose processes you're redesigning are in this building, and so are the engineers who build LangGraph. WHAT YOU'LL OWN: Carry multi-quarter programs - Own the Salesforce sales process from lead to close — routing, qualification, territory assignment, and stage progression — driving each initiative from discovery through UAT, change management, and adoption. - Be the person stakeholders come to before they file a request, especially when the system was never designed for what the business now needs. - Own the intake and prioritization model for hundreds of quarterly GTM systems requests, ensuring the team works on the highest-leverage business problems rather than the loudest tickets. Own what gets specified and what ships - Run discovery and turn ambiguous asks into BRDs, process flows, data models, and acceptance criteria — with a clear problem statement and ROI justification, precise enough to execute without a second conversation. - Hold the quality gate: you write the specification, engineers and coding agents write the code, and nothing reaches production without your sign-off. - Run vendor evaluations when the right answer is buy, integrate, or replace rather than build. Protect revenue data integrity - Trace anomalies in revenue fields — Net ARR, initial pipeline, lead source — back to the automation, trigger, or integration that wrote them. - Own the reconciliation seam between Salesforce, usage-based billing, and cloud-marketplace transactions. - Identify which design decisions are load-bearing and which are cosmetic, and catch the downstream failure modes before they reach production. WHAT SUCCESS LOOKS LIKE: In your first 6–12 months, you might: - Redesign the lead-to-opportunity process so routing, qualification, and stage progression are measurable, enforceable, and adopted by the field. - Create a prioritization model for hundreds of GTM systems requests per quarter, with clear tradeoffs and business rationale. - Ship a Salesforce change that improves pipeline hygiene, quote-to-cash accuracy, provisioning reliability, or cloud marketplace reconciliation. - Establish a specification and UAT standard that engineers and AI agents can reliably build against. - Build enough trust with Sales, Marketing, Partnerships, Support, and Finance that stakeholders bring you the problem before they prescribe the solution. WHAT YOU'LL NEED TO BE SUCCESSFUL: SYSTEMS AND DOMAIN DEPTH - Domain and tenure — 6–8 years in business systems, sales systems, revenue systems, or GTM systems, with Salesforce as your primary platform throughout. - Sales process depth — you've partnered with Sales Ops on the things reps feel every day: territory and account coverage, lead qualification and routing, stage gates, and pipeline and forecast hygiene. - Sales systems / RevOps depth — experience across quote-to-cash, CPQ, territory and lead routing, forecasting, or adjacent revenue processes. - Technical fluency — you can read a data model, a Flow, and enough Apex to design against what's really there, even though you are not expected to write production code. PROGRAM LEADERSHIP - Program ownership — you've been the single accountable owner, at the working level negotiating the commitments yourself, of a program that spanned four or more functions and changed how a revenue org works day to day. - Release risk — you've delivered a program into a core system on a release process you didn't control, where another team's change could break your release. - Re-scoping under change — you've re-scoped a program mid-flight because the business changed under it, a sponsor moved, or the original scope no longer matched reality. - Holding the line — you've turned down a request with executive backing and kept the relationship; you hold the line when something breaks pricing discipline, a legal constraint, or the architecture, and you arrive with the alternative. JUDGMENT AND COMMUNICATION - One tradeoff, two audiences — you write for the reader in front of you, not the one you find easiest: the VP gets the page, the engineer gets the spec. - Maximum agency — you find the friction and start the project. You don't wait for a ticket. - AI judgment — you give an agent the same brief you'd give a new engineer, and you check its work the same way. - Architecture judgment — you know which design calls are load-bearing and which are cosmetic: why a usage event belongs on its own object rather than a field on Account, and how you'd catch that renaming one picklist breaks the provisioning saga before anyone deploys it. STRONG SIGNALS: None of these is a screen; any one makes you useful faster. - You've owned a core Salesforce object domain — Account, Contact, Lead, or Opportunity — through a full redesign. - You've traced a Salesforce field into a usage record into a provisioning step, and seen what broke downstream when it moved. - You've worked with cloud marketplace operations — AWS or GCP private offers, co-sell, entitlement mapping, metering, and the failure modes when they break. - You've worked with usage-based billing systems such as Metronome, Orb, or similar, and CRM↔billing identity reconciliation. - You have LangChain or LangGraph experience, or you're excited to learn it here from the people who build it. Annual salary range: $180-200k USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Ludowici, Georgia; Hinesville, Georgia Workplace: OnSite Board Certified Behavior Analyst (BCBA) – Ludowici, Georgia Company: Fox & Fern Behavioral Solutions, a Finni Health company Job Type: Part-Time & Full-Time options available Schedule: Monday through Friday, 9 am–5 pm with flexibility Location: In-person - Jesup, Ludowici, Hinesville, and Midway, Georgia (In-home) Pay: $70.00- $75.00 per hour   Are you passionate about helping individuals reach their full potential and making a meaningful impact? We are seeking a dedicated and compassionate Board Certified Behavior Analyst (BCBA) to join our growing team!   WHAT YOU’LL DO As a BCBA, you’ll play a vital role in delivering compassionate, evidence-based behavioral health services. Your responsibilities will include:   - Conducting assessments and diagnostic evaluations for children with autism and developmental disabilities - Developing and implementing individualized behavior intervention and treatment plans - Providing one-on-one therapy and family support - Supervising and mentoring BTs/RBTs to ensure consistent, high-quality care - Collaborating with interdisciplinary teams to create well-rounded care solutions - Maintaining accurate and confidential documentation (HIPAA-compliant) - Staying current with research and best practices in behavioral health   WHAT YOU BRING We’re looking for team members who are not only qualified but genuinely care.   - BCBA Certification - Master’s Degree in Applied Behavior Analysis or a related field - Experience working with children and individuals with autism or developmental disabilities - Strong clinical and interpersonal communication skills - Empathy, patience, and a commitment to client-centered care - Reliable transportation - Active CPR Certification (we'll help you obtain certification if needed) - Ability to pass a background check (required by funding sources) - Willingness and physical ability to work directly with children (e.g., lift up to 50 lbs, kneel, sit on the floor, etc.)   WHY JOIN US? We believe that when our team members thrive, our clients do too. Here’s how we support your growth and well-being:   - Competitive Pay: $70.00- $75.00 per hour - Career Growth: Performance-based raises, mentorship, and leadership opportunities - Ongoing Training: Access to CEUs and fieldwork supervision - Supportive Leadership: We prioritize clinician well-being and ethical, value-driven care   APPLY NOW! Ready to bring your clinical skills, creativity, and compassion to a team that values your growth? We’d love to meet you!   ➡️ Submit your application and let’s discuss how you can be part of something meaningful.   To protect our clients and their families, this position requires a background check. Successful candidates will receive a conditional offer of employment, with final confirmation to start pending satisfactory screening results. #FinniHealthBCBA

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 Tavily (Acquired by 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. The role We're looking for a Business Analyst to partner closely with our Finance and Sales teams and turn data into decisions. You'll be the owner of the company's most important metrics: revenue (ARR/MRR), bookings, pipeline, conversion, net revenue retention, gross margin and more. Beyond reporting the numbers, you'll uncover the drivers behind them, build the analyses that shape planning and go-to-market strategy, and help leadership answer the critical questions: This is a high-ownership, hands-on role for someone who is as comfortable in a board-deck conversation as in a SQL editor, and who ships analysis that changes what the business does next. Your responsibilities will include: Own the company's core business metrics end-to-end: define them, build the single source of truth, and make sure Finance, Sales, and leadership are all looking at the same numbers. Partner with Finance on revenue recognition, forecasting, budgeting, and board/investor reporting; turn usage and billing data into reliable financial views. Partner with Sales on pipeline health, funnel conversion, win/loss, sales cycle, quota attainment, territory and segment performance, and compensation analytics. Proactively monitor key business metrics, investigate trends and anomalies, and surface actionable insights to stakeholders before they ask. Build and maintain revenue and pipeline models that connect product usage and billing data. Write production-quality SQL and Python to model data, automate recurring reporting, and run analyses at scale. Translate findings into clear recommendations and drive alignment across Finance, Sales, and leadership. Support strategic initiatives: pricing and packaging changes, segment strategy, capacity planning, and go-to-market experiments, with before/after impact measurement. We expect you to have: 5+ years of experience as an Analyst, of which 2+ years of experience as a Business Analyst, FP&A analyst, Revenue/Sales Operations analyst, or equivalent. 2+ years working in a SaaS company; you understand ARR, bookings, NRR, CAC, payback, pipeline coverage, and the metrics that drive a SaaS business. Hands-on experience supporting Finance and/or Sales teams, with a track record of owning metric definitions that the company relies on. Strong SQL and comfort working with large, messy datasets across different sources. Hands-on experience using Python for data analysis and data modeling in a production environment. BSc in Economics / Finance / Statistics / Math / Industrial Engineering or equivalent. Familiarity with modern data tooling (Snowflake/BigQuery, dbt, BI tools like Omni/Looker/Tableau). It will be an added bonus if you have: Experience at an API-first, developer-focused, usage-based, or PLG (product-led growth) company. Experience with usage-based billing and revenue recognition (Stripe, Metronome, NetSuite). Experience with CRM analytics (HubSpot, Salesforce) and sales compensation / quota design. Statistical foundation for experimentation and causal inference. Experience with Airflow or similar orchestration tools. MBA or MSc in a quantitative field. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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.