Вакансии

Задачи: — Поддерживать и обновлять существующие дашборды для маркетинговых команд; — Выполнять ad-hoc выгрузки и запросы от маркетологов (пуши, баннеры, рекламные кампании); — Ежедневно мониторить алерты по рекламным сущностям, первичная диагностика проблем; — Поддерживать витрины данных в Airflow: обновление, доработка по готовым ТЗ; — Документировать витрины, дашборды и аналитические процессы; — Первично коммуницировать с заказчиками по типовым вопросам; — Автоматизировать мелкие рутинные отчёты; — Участвовать в передаче офлайн-конверсий через S2S (server-to-server) и measurement protocol. Требования: — Опыт работы в маркетинговой аналитике от 2 лет; — Уверенное владение SQL (джойны, подзапросы, массивы, оконные функции); — Опыт работы с СУБД Clickhouse будет плюсом; — Понимание маркетинговых метрик: ДРР, ROMI, CPA, LTV, конверсии, воронки; — Понимание принципов атрибуции; — Знание рекламных систем: Яндекс.Директ, Google Ads, VK Реклама и т.п.; — Опыт работы с системами: Яндекс.Метрика, Google Analytics; — Опыт работы с BI-инструментами (Redash, Tableau, PowerBI или аналоги); — Понимание принципов работы с AI-инструментами (ChatGPT, Claude, Copilot и др.) и умение применять их для ускорения рутинных задач: генерация SQL-запросов, написание регулярных выражений, помощь в анализе данных, подготовка документации; — Понимание или опыт передачи офлайн-конверсий через S2S (server-to-server) - осознание, зачем это нужно и как влияет на оценку эффективности рекламы; — Аналитическое мышление, умение задавать вопросы и самостоятельно разбираться в задаче. Будет плюсом: — Опыт работы с Airflow (или готовность быстро освоить); — Python на уровне работы с данными (pandas); — Практический опыт использования AI-инструментов в ежедневной работе: автоматизация отчетности, генерация кода, анализ больших текстов, работа с LLM для построения гипотез; — Практический опыт настройки или участия в передаче офлайн-конверсий через S2S (measurement protocol), работа с API рекламных систем для передачи конверсий.

Обязанности: — постановка задач в рамках камеральных налоговых проверок; — анализ входящих требований со стороны заказчика; — проектирование алгоритмов, декомпозиция задач; — работа с инцидентами; — оформление проектной документации; — участие в сдачах работ заказчику. Требования: — знание языков моделирования BPMN, UML; — уверенные навыки выявления потребности заказчика, формирование постановку задач на разработку ПО; — опыт описания бизнес-процессов as-is / to-be; — навыки разработки проектной документации (ТЗ, ПМИ, ОПЗ); — навыки работы с системами анализа логов и багтрекинга; — навыки работы с XML, JSON; — опыт работы с сиквенс-структурами, формирование сложных запросов, работа с объектами БД (таблицы, хранимые процедуры и функции, view). Условия: — гибкие форматы работы: возможность работы в офисе, по гибридному графику или полностью дистанционно на территории РФ; — рабочий график: пятидневная рабочая неделя (Пн. – Чт. с 09:00 до 18:00, Пт. с 09:00 до 16:45); — достойное вознаграждение: конкурентная заработная плата по результатам собеседования, а также премии за эффективную работу и достигнутые результаты; — официальное трудоустройство: полное соблюдение требований ТК РФ, включая оплачиваемые отпуска (с дополнительной выплатой 50% от оклада после 11 месяцев работы в Компании) и выплату заработной платы дважды в месяц; — заботу о здоровье: компенсация больничного листа продолжительностью до 7 дней с сохранением полной оплаты, эквивалентной рабочему дню, добровольное медицинское страхование (ДМС) по окончании испытательного срока, с широким перечнем ведущих медицинских учреждений, включая качественную стоматологию, возмещение до 50% затрат на занятия спортом; — развитие и обучение: профессиональное обучение и сертификация за счет компании, организация внутренних и внешних митапов, хакатонов, конференций, семинаров и тренингов, партнерские программы по изучению иностранных языков и развитию профессиональных навыков от Skyeng и Skillbox, доступ к корпоративной библиотеке на платформе Alpina Digital; — дополнительные выходные: возможность взять 5 дополнительных оплачиваемых выходных (ресурсных) дней в течение календарного года (с 1 января до 31 декабря) для сотрудников, проработавших в компании более 11 месяцев.

Задачи: — Работа с Big Data на основе баз данных Нильсен; — Подготовка отчетов, обзорных презентаций и аналитики по бизнес вопросам клиентов (FMCG-рынок); — Анализ ценовой политики, дистрибуции, ассортимента, промо и других характеристик по фокусному бренду клиента и конкурентам; — Поиск возможностей развития и выдвижение рекомендаций для клиентов-производителей и ритейлеров на основе данных ритейл-аудита; — Подготовка аналитических материалов для конференций, СМИ, телеграмм канала, сайта Нильсен; — Проведение тренингов для клиентов по аналитике; — Презентация результатов аналитики внешним и внутренним клиентам оффлайн и онлайн. Требования: — Высшее образование бакалавриат/магистратура или также студент магистратуры (экономический, статистический, математический, маркетинговый профиль); — Английский: intermediate и выше; — Продвинутый Excel и PowerPoint, умение обрабатывать большие массивы данных; — Аналитический склад ума; — Уверенные презентационные навыки; — Навыки деловой коммуникации и клиентоориентированность. Условия: — Оформление по ТК РФ; — Формат работы - гибрид; — Мобильная связь и ноутбук; — Бенефит-кафе: ДМС, фитнес, обучение, отдых и оздоровление; — Программа компенсации больничных листов; — Программа привилегий PrimeZone; — Возможность участия в сообществах компании; — Тренинги и обучающие курсы.

Задачи: — Обеспечение выполнения работ по декомпозиции стратегии Банка на ежегодный детальный План реализации стратегии; — Подготовка и вынесение на согласование и утверждение коллегиальными органами Банка Плана реализации стратегии; — Ежеквартальный сбор статусов исполнения Плана реализации стратегии; — Верификация наплавленной информации; — Подготовка и вынесение на согласование и утверждение коллегиальными органами Банка Отчета об исполнении стратегии Требования: — Опыт работы в банковском секторе, верхнеуровневое понимание процессов бизнес и поддерживающих подразделений банка; — Опыт координации работ с большим количеством сотрудников организации из разных направлений с целью сбора информации и верификации предоставленных данных (проектная деятельность); — Опыт работы с коллегиальными органами (подготовка документов, согласование и вынесение вопроса на утверждение) Условия: — Гибридный формат работы

Задачи: — Собирать и анализировать данные из кабинетов маркетплейсов — Готовить отчёты по продажам, прибыли и рекламным расходам — Рассчитывать юнит-экономику по площадкам и SKU — Анализировать ассортимент, остатки и оборачиваемость — Оценивать эффективность скидок, акций и продвижения — Находить причины роста или снижения продаж — Сравнивать товары и цены с конкурентами — Формировать прогнозы продаж и поставок — Создавать понятные дашборды для руководителей — Предлагать решения на основе полученных данных Требования: — Опыт аналитики в e-commerce или на маркетплейсах — Продвинутое владение Excel или Google Таблицами — Навыки работы с BI-системами будут преимуществом — Понимание юнит-экономики и основных показателей продаж — Умение находить закономерности и объяснять выводы простым языком — Внимательность к данным и системное мышление Условия: — Зарплата: от 90 000 руб — Формат работы: удалённо — График: 5/2 — Официальное оформление — Доступ к необходимым сервисам аналитики — Возможность развивать систему отчётности компании

Задачи: — Сбор, анализ, формализация и согласование требований для построения хранилищ данных, витрин и ETL-процессов; — Исследование источников данных, формирование требований к выгрузкам и подготовка технических спецификаций; — Анализ и корректировка кода пакетов выгрузки данных; — Подготовка и согласование документации; — Разработка и доработка логической и физической моделей данных; — Проектирование интеграций между аналитическими системами; — Постановка функциональных (ФТ) и нефункциональных (НФТ) требований к интеграциям; — Проектирование ETL-процессов внутри хранилища, включая детальные слои по методологии Data Vault 2.0 и Business Data Vault. Требования: — SQL (Greenplum/PostgreSQL) на уровне реализации витрин данных: оконные функции, агрегации, аналитические функции, администрирование; — Опыт работы аналитиком данных от 3 лет; — Опыт работы с распределенными системами (MPP); — Опыт работы с Python; — Опыт работы с GIT; — Опыт работы с Apache Airflow; — Опыт работы с Data Vault; — Опыт работы с Informatica. Условия: — Форма трудоустройства на выбор: договор оказания услуг с ИП или самозанятым; — Участие в масштабных проектах федерального и международного уровня; — Работа с передовыми технологиями; — Возможности профессионального и карьерного роста; — Полностью удаленная работа; — Регулярная и достойная оплата труда.

Задачи: — обеспечение подразделений качественной аналитикой для контроля убыточности, мониторинга агентских продаж и оптимизации андеррайтинговой политики; — оперативная подготовка управленческой отчетности и автоматизация рутинных выгрузок; — формирование регулярной (еженедельной/ежемесячной) статистики по ключевым показателям портфеля; — расчет частоты страховых случаев (убытков) по ОСАГО и КАСКО с определением трендов (например, фиксация превышения пороговых значений в динамике более 8 периодов подряд); — мониторинг долей тотальных убытков и концентрации выплат на конкретных СТОА; — выявление концентрации сборов и агентского вознаграждения (риски зависимости от 1 агента/точки продаж); — контроль корректности применения КБМ (бонус-малус), расчет доли договоров с завышенной страховой суммой и коэффициентов загрузки дилеров (КТ); — разработка макросов и шаблонов для автоматизации рутинных выгрузок, сокращение времени подготовки сводных данных (например, расчет структуры офисных продаж в процентах от общего портфеля). Требования: — опыт консолидации, очистки и обработки больших массивов структурированных и неструктурированных данных (от 10 000+ строк ежедневно); — владение Excel на продвинутом уровне, включая Power Query (M-язык) и/или VBA для автоматизации процессов; — уверенное использование сводных таблиц, сложных формул (массивы, ВПР/ПРОСМОТРХ, ЕСЛИМН), Power Pivot; — опыт работы с учетными системами Lotos и Unicus (знание структуры таблиц, написание запросов на получение данных по полисам, выплатам и агентам); — знание SQL (SELECT, JOIN, оконные функции) для выгрузки данных напрямую из DWH при отсутствии готовых отчетов в системах будет преимуществом; — личные качества: системное мышление, стрессоустойчивость, многозадачность, внимание к деталям, коммуникабельность. Условия: — удобное расположение офиса; — официальное трудоустройство по ТК РФ; — график работы 5/2: пн-чт с 9-18, пт с 9-16:45; — заработная плата, оклад 130.000 (до вычета налога); — бонусы за успешное внедрение автоматизации (сокращение времени выгрузки более чем на 60%); — техническое оснащение: 2 монитора, скоростной ПК (сборка больших файлов требует ресурсов); — корпоративная столовая.

Обязанности: — Сбор, обработка и анализ данных из разных источников; — План-факторный анализ; — Подготовка отчётности по выполнению плановых показателей; — Подготовка аналитических отчётов (регулярных и ad-hoc); — Подготовка презентаций; — Участие в кросс-функциональных проектах. Требования: — Опыт работы аналитиком, опыт работы в фармацевтических компаниях будет преимуществом; — Навыки по обработке и анализу больших массивов данных; — Знание MS Excel на продвинутом уровне (комплексные формулы, сводные таблицы, Power Pivot, Power Query); — Аналитический склад ума, внимательность, аккуратность. Условия: — Оформление в соответствии с ТК РФ; — Конкурентоспособную заработную плату; — Прозрачную систему премирования; — Программу корпоративного добровольного медицинского страхования (ДМС), включая стоматологию и страхование от несчастных случаев, после прохождения испытательного срока; — Подключение к платформе скидок BestBenefits; — Комфортный офис; — Корпоративный транспорт от м. Славянский бульвар, м. Давыдково; — Местоположение: Москва, БЦ West Plaza, ул. Рябиновая, 26/10; — Сокращенный рабочий день в пятницу; — Реферальную программу «Приведи друга»; — Молодой позитивный коллектив; — Возможность профессионального обучения, развития и карьерного роста.

Задачи: — Отвечать за продуктовую, клиентскую и финансовую аналитику, находить точки роста и превращать их в понятные бизнес-решения — Влиять на решения команд продукта, маркетинга и финмодели через данные: от постановки вопросов до оценки эффекта на P&L — Погружаться в спортивный мир глазами беттора, анализировать поведение пользователей, метрики и сегменты на каждом этапе пути — Переводить инсайты о мотивации и поведении игроков в продуктовые и коммуникационные решения для повышения удержания и монетизации — Развивать клиентскую, продуктовую и финансовую аналитику в логике запросов бизнеса — Строить когортную аналитику и юнит-экономику продукта, искать связи игровых поведенческих факторов с ключевыми финансовыми метриками — Проектировать и проверять гипотезы, в том числе через A/B-тесты, помогать командам принимать продуктовые и финансовые решения на основе данных — Находить зоны роста бизнеса через анализ данных, инициировать и поддерживать оптимизацию процессов для ускорения принятия решений с прогнозируемым эффектом на P&L Требования: — Глубокое понимание методологий анализа данных и статистики, самостоятельное применение в продуктовых задачах от постановки гипотез до принятия решений — Будет плюсом опыт предиктивного моделирования и ML-подходов — Уверенное и самостоятельное написание сложных SQL-запросов и использование Python для аналитики, автоматизации отчетов и экспериментов — Опыт работы с большими объемами и разнородными источниками данных, умение наводить порядок в схемах, витринах и логах — Владение инструментами визуализации данных (Tableau, Power BI, DataLens или аналоги) и умение собирать дашборды для принятия решений; знание Tableau будет плюсом — Высокий уровень критического мышления и сильные коммуникативные навыки: умение проверять выводы, задавать неудобные вопросы к данным и объяснять сложные аналитические концепции простым языком — Умение работать в связке с продуктом и бизнес-командами, принимать решения командно Условия: — Процесс отбора: звонок с рекрутером, интервью с руководителем, финальная встреча в офисе, собеседование и оффер.

Задачи: — Анализ текущих бизнес-процессов; — Сбор и анализ информации от ключевым пользователей по изменению бизнес-процессов; — Подготовка предложений по оптимизации и изменению бизнес-процессов; — Описание бизнес-процессов в Нотациях BPMN, написание регламентов работы, инструкций; — Написание (при необходимости) ТЗ для программистов, организация пользовательского тестирования, внедрение. Требования: — Высшее образование (техническое, экономическое); — Опыт работы аналитиком бизнес-процессов, менеджером по качеству, методологом от 2-ух лет; — Умение проводить интервью с целью обследования процессов, выявления "узких мест" и потерь, а также потребностей заказчиков; — Навыки разработки нормативной документации; — Знание основных используемых "Нотаций" для описания бизнес-процессов; — Компетентность в области стандартов ISO 9000 будет преимуществом; — Владение инструментами Lean Six Sigma, а также опытом работы в 1С: ERP, будет преимуществом; — Умение проводить моделирование, анализ и оптимизацию бизнес-процессов с использованием инструментальных средств моделирования. Условия: — Строгое соблюдение ТК РФ. — Стабильная, официальная и своевременная выплата заработной платы (2 раза в месяц); — Предоставление возможности для профессионального обучения и повышения квалификации; — Современный офис в пешей доступности от станции метро Щукинская, оснащённый всем необходимым для продуктивной работы; — Компенсация питания; — Подключение к программе ДМС со стоматологией после испытательного срока; — Социальные гарантии и поддержка компании; — Активная корпоративная жизнь: участие в спортивных мероприятиях (турниры, забеги), проведение выездных корпоративных мероприятиях; — График работы: 5/2, с 09:00 до 18:00.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: Boston, MA, United States, New York, NY, United States Title of role: Manager Business Analytics Location: New York or Boston; Hybrid (2 days in the office required) Approved Salary Range: $130K-$140K About the Role : Rue Gilt Groupe is seeking an innovative and business-minded Manager, Business Analytics to lead the analytical strategy across key customer engagement channels. In this role, you will be the dedicated analytics owner for our Paid Retargeting and Winback marketing programs, transforming complex datasets into executive-ready strategic insights that drive measurable revenue growth. You will sit at the intersection of marketing strategy, technology, and data science—collaborating closely across the broader Marketing team, technology partners, and external vendors. If you thrive on upleveling complex analyses, understanding core commercial drivers, and leveraging modern tools with AI, this opportunity is ideal for you. Key Responsibilities: Program Analytics Ownership: Serve as the lead analytics owner for both the Paid Retargeting and Winback marketing programs, defining measurement strategy, incrementality testing, and performance optimization. Uplevel Complex Analyses: Synthesize multi-channel datasets into clear, actionable stories, executive dashboards, and strategic recommendations that directly influence marketing investments. Understand Business Context & Drive Innovation: Connect data directly to underlying business models, identifying growth opportunities and pioneering new approaches to customer lifecycle optimization. Cross-Functional Collaboration: Partner effectively across internal teams, including Marketing, Data Engineering, and Tech, as well as external platform vendors to improve attribution, data architecture, and campaign effectiveness. Embrace AI & Modern Workflows: Bring a strong AI curiosity to test and integrate novel AI tools, automated analytical workflows, and generative techniques into daily reporting and exploratory research. Experience and Background Needed : Strategic Thinking: Proven ability to translate complex statistical outputs into high-level business narratives for non-technical leadership. Forward-Looking Mindset: Active curiosity around emerging AI tools and automation capabilities to enhance analytical speed and insight discovery. Collaborative Attitude: Strong communication skills with a track record of building cross-departmental alignment and managing external partner relations. BA/BS in a quantitative field (Marketing, Economics, Mathematics, etc.). 4+ years of experience in business analytics, marketing analytics, or data-driven strategy (preferably within e-commerce, digital retail, or direct-to-consumer environments). AdTech/Digital Paid Media background a plus. Strong statistical foundation, including hands-on experience with A/B testing , attribution methods, and MMM/MTA modeling . Advanced SQL skills for querying, data manipulation, and building robust analytical models. Deep experience with Tableau (or equivalent BI tools such as Looker or Power BI) for designing interactive visualizations and executive reports. Expert-level proficiency in Excel or Google Sheets What our team offers Working at RGG is more than just a job; it’s an opportunity to join a mission-driven team that values Innovation and Impact. We are committed to supporting our employees' success and well-being: Comprehensive Coverage: Robust health, dental, and vision insurance effective on the date of hire. Time & Flexibility: Generous Flex Time Off (FTO) and flexible remote/hybrid work options that support a healthy work-life balance. Culture: A supportive, inclusive culture that encourages innovation, safety, and creative risk-taking. Community: Paid volunteer opportunities and regular DEI celebrations to foster a strong sense of community and collaboration. Impact: The chance to make a real, measurable impact at a mission-driven, fast-growing company poised for major expansion. We encourage you to apply Even if you don’t meet every single qualification, we’d still love to hear from you. We value passion, curiosity, and a commitment to learning as much as experience.  We celebrate diverse perspectives and strive to create an inclusive environment for all our Associates. Work Authorization Rue Gilt Groupe requires all applicants to be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship now or in the future . Rue Gilt Groupe is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. The above statements are intended to describe the general nature and level of work being performed by the employee(s) assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of the employee(s) assigned to this job. Rue Gilt Groupe reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional job responsibilities within your general skill set or capabilities. Rue Gilt Groupe is proud to be an Equal Opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. ABOUT US: Ready for the most memorable – and stylish – experience of your professional career? Then join us at Rue Gilt Groupe. Combining three complementary brands, Rue La La, Gilt, and Shop Simon, we are the premier off-price e-commerce portfolio company. Our model defined the online treasure hunt through its daily sale events allowing our customers to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. We believe in fashion for all, sparking delight through daily discovery and shopping as an occasion to celebrate!  World-class merchandising, technology and marketing bring our shopping experience to life, and we hire world-class people to do it.  Living our values and being empowered, tenacious, passionate, collaborative, innovative, and kind is something we strive for every single day. We meet over coffee and brainstorm new ways to spark delight for our members. Volunteer on- and off-hours together. Plan some serious surprises for our coworkers, because nothing ignites innovation like a breakfast cereal buffet or an afternoon slice of cake. And we don't hesitate to use our associate discount – after all, we're as enthusiastic about style as our customers. The way we work?  It's so much more than what happens between the weekends. It empowers us to think, create, and innovate, so we can deliver the first-rate experience today's customer’s demand. Rue Gilt Groupe GDPR/CCPA Pre-Collection Notice for Job Applications: We collect personal information (PI) from you in connection with your application for employment with Rue Gilt Groupe, including identifiers, contact information, employment and education history, and related information. We use this PI for purposes related to evaluating your application and potential employment. Depending on your location, you may have rights under GDPR or U.S. state privacy laws. For additional details or if you have questions, please see our GDPR Applicant Privacy Notice and CCPA Applicant Privacy Notice or contact us at recruitingcoordinator@ruegiltgroupe.com.

Location: United Kingdom Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Commercial Deal Desk Analyst to help build and scale 1Password’s Commercial Deal Desk capability within Revenue Operations. You’ll partner with Sales, Finance, Legal, and cross-functional teams on complex commercial decisions, while turning what you learn into clear processes, guidance, and tools that help teams move faster with confidence. This role will help strengthen 1Password’s enterprise commercial capabilities as deal complexity and volume grow. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. This is a remote opportunity within the UK. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 4+ years of experience in Deal Desk, Revenue Operations, Commercial Finance, or a related function within a Business-to-Business (B2B) Software as a Service (SaaS) environment. - Hands-on experience with Salesforce Customer Relationship Management (CRM) and Salesforce Configure, Price, Quote (CPQ)/Revenue Cloud, including resolving complex quoting and cross-object issues. - Strong understanding of commercial deal structures, including annual recurring revenue (ARR), multi-year agreements, amendments, renewals, co-terms, ramps, stub billing, bundled products, and discounting. - Demonstrated ability to build or improve processes, documentation, approval workflows, and commercial policies in an evolving environment. - Sound commercial judgment and the ability to balance customer and seller needs with pricing discipline, revenue integrity, and business risk. - Strong cross-functional communication skills, with the ability to influence effectively without formal authority and explain complex commercial concepts clearly. - Experience using artificial intelligence (AI), automation, or workflow tools to reduce manual work and improve the quote-to-cash process is preferred. What you can expect: - Partner with Enterprise Account Executives (AEs), Sales Managers, Finance, Legal, and Revenue Operations on complex, non-standard, and high-impact deals. - Advise on deal structure, pricing, terms, discounting, approvals, amendments, renewals, co-terms, ramps, bundled products, and other commercial considerations. - Review and execute deal submissions in Salesforce CPQ/Revenue Cloud, ensuring quotes and contracts are accurate, complete, and ready for approval and invoicing. - Build the foundations of the Commercial Deal Desk, including intake processes, approval routing, discount governance, exception handling, service-level agreements (SLAs), and documentation. - Create playbooks, training materials, office hours, and practical guidance that help sales teams navigate commercial processes and quoting tools. - Identify opportunities to improve workflows through automation, AI tooling, and CPQ configuration, while partnering with technical teams to implement scalable solutions. - Use deal data and Key Performance Indicators (KPIs) to identify bottlenecks, improve deal quality, and recommend changes that support efficient, sustainable growth. UK-based roles only: The annual base salary for this role is between £60,000 GBP and £84,000 GBP, plus immediate participation in 1Password's benefits program (health, dental, pension, and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password.   This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Fraud team at Affirm Bank works cross-functionally with Machine Learning, Product, Engineering, Operations to combat fraudulent activities to foster a safe platform. This role requires abundant cross-functional partnership. This individual will be the representative of the Credit Risk org, leading the charge on refining our Identity Verification and Fraud processes as well as our Application flow. Additionally, this role will work closely with the Product and Engineering teams to improve our Fraud solution. Come join us in our mission to change consumer finance through better technology, lower costs, and increased transparency while providing the best customer experience. What You'll Do This role will take charge of owning fraud performance for depository products, including monitoring fraud losses, approval rates, false positives, customer friction, and other key risk metrics Data Pipeline, Analytics & Monitoring Build and maintain scalable data models and transformation pipelines, using tools (such as DBT) to standardize depository product, transaction, customer, fraud, and operational data. Define trusted fraud performance metrics and analytical datasets, including fraud loss rates, approval and decline rates, false-positive rates, customer friction, and operational efficiency. Develop recurring dashboards, scorecards, and monitoring frameworks to provide clear visibility into fraud performance, portfolio health, and emerging risks. Conduct deep-dive analyses to diagnose fraud losses, control gaps, false positives, portfolio shifts, and unexpected performance changes, translating findings into actionable recommendations. Fraud Strategy Building & Optimization Develop and optimize fraud rules, policies, thresholds, models, and decision strategies that balance loss prevention, customer experience, operational capacity, and product growth. Evaluate new data sources and signals to improve detection of identity risk, account takeover, device risk, transaction risk, and other fraud typologies relevant to depository products. Lead testing and performance measurement of fraud strategy changes, including rule launches, model updates, policy changes, and new product controls, with clear pre- and post-implementation evaluation. Partner cross-functionally with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk to improve fraud strategies, strengthen operational feedback loops, and support new product launches. What We Look For EXPERIENCE - 7+ years’ of Analytics experience PRODUCT KNOWLEDGE - Passion to understand how Affirm product works and a curious mindset to help change and make it more effective TECHNICAL SKILLS - Fluent in SQL and Python PEOPLE SKILLS - A team player with ability to collaborate and influence across many different teams in the organization COMMUNICATION - Ability to communicate findings and recommendations clearly to both technical and non-technical audiences EXECUTION - Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity MULTI-TASKING - Strong time management skills and the ability to manage multiple projects and priorities RISK KNOWLEDGE  - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with fraud strategy development We also encourage you to read our Chief Risk Officer’s views on what makes Credit Risk Managers influential and on a Modern Risk Management System . Base Pay Grade - M Equity Grade -  USA 8 Employees new to Affirm typically come in at the start of the pay range . Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT): $185,000 - $245,000 USA base pay range (all other U.S. states): $164,000 - $224,000 Please note that visa sponsorship is not available for this position. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

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