Аналитика вакансии

-Анализ данных по транзакциям, платежам, клиентам и продуктам (карты, переводы, кредиты, цифровые каналы) из АБС и DWH. -BI-дашборды и регулярная отчётность: воронки, retention/churn, доходность.

Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. We’re looking for someone to make data a core lever for better product and business decisions.   This is a highly autonomous role. You’ll have the freedom to identify what we need, decide whether to build or buy, and turn data into measurable impact. 🙌 WHAT WILL YOU BE DOING? You’ll work at the intersection of data, product, and business, partnering closely with teams across GitBook. - Work with product and engineering to identify opportunities, define metrics, run experiments, and influence the roadmap - Turn messy questions into analysis, insights, and actions that improve product and company metrics - Collaborate with the Head of Data on our data architecture, foundations, and long-term vision - Evolve our data models, pipelines, instrumentation, and tooling as our needs change - Decide when to build, buy, or use lightweight solutions to solve data problems efficiently - Take our existing internal data agent to the next level, making it more useful and accessible across the company - Help teams across GitBook become more autonomous and effective in how they use data You’ll have the freedom to shape both what we build and how we work with data. 🧰 WHAT ENVIRONMENT WILL YOU BE WORKING IN? Our stack today includes: - GCP — BigQuery, Composer - dbt — Cloud / via Cursor - Replit — data apps & internal tooling - Tableau / Count — analysis & exploration - Amplitude / Segment — product & event data We don’t expect you to know everything. What matters is that you’re comfortable learning, evaluating tools, and evolving a modern data environment. 🧠 WHAT WE VALUE Product mindset: You’re curious about users and how the product works. You want to understand behavior, find opportunities, and see your work translate into better product decisions and measurable outcomes. Ownership & judgment: You’re comfortable taking an ambiguous problem and figuring out what to do next. You know when to go deep, move fast, build, buy, or keep things simple. Technical depth: You’re strong with SQL, data modeling, analytics, and modern data tooling. You can move comfortably between analysis, data foundations, and building practical solutions. Collaboration: You work well across product, engineering, growth, marketing, and leadership. You can challenge assumptions, communicate clearly, and bring people along. Bias for impact: You care about what changes because of your work — not just what gets shipped. 🎯 WHY THIS ROLE? You’ll have a broad scope and a lot of autonomy. Your work will directly influence: - Product and company metrics - Product priorities and roadmap decisions - Experiments and growth initiatives - Our data foundations and architecture - How people across GitBook use data and AI If you like owning problems, shaping the solution, and seeing your work directly impact the product, you’ll have a lot of room to make a difference here. 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

В роли продуктового аналитика предстоит работать с приложением для сотрудников, используя данные и аналитику пользовательского поведения для его развития. Основная задача — анализировать информацию, чтобы улучшать продукт и принимать обоснованные решения на основе полученных данных.

Требуемые навыки: #middle, #MicrosoftDynamicsNAV, #SOAP, #REST, #APIИнтерфейсы, #ApacheKafka, #Confluence, #Jira.

• Исследовать core banking систему, legacy- и внешние источники, восстанавливать их семантику; • Идти от целевой витрины к источнику: определять таблицы и логику сбора атрибутов;

Location: Remote (United States | Canada) 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. At 1Password, we believe everyone deserves to be safe online. As a Senior GTM Engineering Analyst, you’ll build artificial intelligence (AI) agents, data products, and analysis workflows that help global go-to-market teams work faster and make better decisions. You’ll connect information across business systems, automate repetitive processes, and create reliable insights for leaders across Sales, Solutions, Customer Experience, and Channel. Your work will help make security simpler and more human-centric for the millions of people and thousands of businesses that rely on 1Password. This role reports to the Director, GTM Engineering (Revenue Operations) 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 Canada and the US. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - Bring 4+ years of experience in analytics, revenue operations, sales operations, data analysis, or a related field. - Have experience building AI agents or workflows powered by large language models (LLMs) that have been used in real business work. - Experience building and maintaining decision-ready dashboards, reports, and data products in Power BI or comparable business intelligence tools, including data modeling, visualization, metric definition, and ongoing maintenance for GTM stakeholders - Work confidently with AI coding tools such as Claude Code, Codex, or Cursor. - Use Structured Query Language (SQL) effectively and apply working knowledge of statistics to distinguish meaningful results from noise. - Document and improve business processes with a focus on reducing manual work and improving decision-making. Bonus points for: - Have experience with Python for building automations, working with application programming interfaces (APIs), and connecting systems, along with go-to-market tools such as Salesforce, Snowflake, Databricks, dbt, or business intelligence platforms. - Have supported channel or partner sales motions, worked across multiple regions, or studied a quantitative discipline such as science, engineering, statistics, or mathematics. What you can expect: - Rebuild sales and revenue operations processes to reduce manual work. - Build and maintain AI agents that prepare call and deal briefs, draft customer follow-ups, rank target accounts, and flag deals that need attention. - Build and maintain data tables and scheduled analysis jobs that combine information from Salesforce, Gong, and other go-to-market systems. - Create reports, alerts, and weekly manager briefs used by sales leadership. - Partner with Sales, Solutions, Customer Experience, Channel, and Revenue Operations teams to understand business needs and define clear technical requirements. - Map existing go-to-market processes, identify opportunities to improve data quality and efficiency, and help teams make better decisions. - Evaluate AI-generated outputs for quality, accuracy, privacy, data access, and appropriate safeguards; measure adoption and effectiveness, then improve workflows based on feedback and results. USA-based roles only: The annual base salary for this role is between $113,000 USD and $146,000 USD. This role is also eligible for immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $105,000 CAD and $136,000 CAD. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP 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.

Что предстоит искать: — информацию о компаниях, конкурентах, лидах, поставщиках и кандидатах;

Выступать связующим звеном между внутренними заказчиками (HR, АХО, бухгалтерия) и командой разработки: трансформировать их бизнес-запросы в технические постановки, исключающие необходимость дополнительных уточнений. Опыт работы системным или бизнес-аналитиком от 3 лет в продуктовой или внутренней разработке.

Задачи: — координация работы системных аналитиков проекта; — системный анализ в рамках проекта по разработке системы принятия решений КАСКО; — анализ структур данных (JSON, XML) и атрибутов системных сущностей для постановки задач на разработку реляционных баз данных (Postgre) и контрактов для межсистемного взаимодействия (REST); — исследование и описание алгоритмов агрегирования данных для постановки задач на разработку; — формирование документации (описание контрактов и алгоритмов, формирование карт данных, подготовка ER-диаграмм, подготовка ТЗ на разработку, участие в подготовке датасетов для тестирования); — декомпозиция ТЗ на задачи для разработчиков; — взаимодействие со смежными командами для синхронизации текущих изменений в зависимых системах; — участие в функциональной приемке задач. Требования: — опыт работы от 3 лет в роли старшего системного аналитика; — опыт участия в подготовке архитектурного решения на создание новой Системы; — опыт работы в роли системного аналитика в проектах с REST API; — основы программной инженерии, жизненного цикла разработки программного обеспечения, управления требованиями; — опыт анализа, выявления и формализации требований заказчиков; — знание стандартов описания и моделирования бизнес-процессов на этапе анализа (BPMN, UML, DFD, SADT, IDEF и др.); — опыт написания технического задания (user story, диаграмм потоков, последовательности и ER) на уровне постановки задачи для разработчиков реляционных БД и backend-сервисов; — опыт проектирования асинхронного взаимодействия систем через брокеры сообщений; — понимание взаимодействия ИТ-систем: приложение, серверная часть, внешние системы и т.д.; — знание SQL, T-SQL, PL SQL на уровне составления запроса к нескольким таблицам и чтения хранимых процедур; — опыт работы с реляционными БД, HTTP, WebAPI, REST/SOAP, jwt/oauth 2.0, swagger, Postman; — опыт проектирования API (REST, SOAP); — знание принципов клиент-серверной архитектуры; — понимание основ построения noSQL БД; — знание современных технологий, применяемых в микросервисной архитектуре, понимание отличий монолитной и микросервисной архитектур; — понимание принципов UI/UX.

Анализ трафика всех источников. Анализ и оптимизация воронок.

Поддерживать и обновлять существующие дашборды для маркетинговых команд; Выполнять ad-hoc выгрузки и запросы от маркетологов (пуши, баннеры, рекламные кампании);

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.

Работа с Big Data на основе баз данных Нильсен; Подготовка отчетов, обзорных презентаций и аналитики по бизнес вопросам клиентов (FMCG-рынок);

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;

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

Сбор, анализ, формализация и согласование требований. для построения хранилищ данных, витрин и ETL-процессов;

Ваша задача - обеспечение подразделений качественной аналитикой для контроля убыточности, мониторинга агентских продаж и оптимизации андеррайтинговой политики. Формирование регулярной (еженедельной/ежемесячной) статистики по ключевым показателям портфеля;

Сбор, обработка и анализ данных из разных источников; План-факторный анализ;