Вакансии

• Опыт работы аналитиком в мобильных играх от 4 лет. • Сильная продуктовая база: retention, воронки, когорты, внутриигровая монетизация.

Задачи: Анализ и описание бизнес-процессов и требований к доработкам 1С. Подготовка ТЗ и постановка задач разработчикам.

-Управлять отделом аналитики (7 человек);

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Senior Analyst, Recruiting Operations turns Harvey's hiring data into decisions leadership can act on. You'll build the capacity models, dashboards, and analyses that show how many recruiters we need, where hiring is slowing down, and what to do about it. You'll work closely with recruiters, Finance, and People leadership, using Ashby as your main data source, at one of the fastest-scaling companies in AI. WHAT YOU'LL DO - Build and maintain recruiter capacity models that turn hiring plans into staffing recommendations. - Design dashboards and analyses on funnel health, time-to-fill, and recruiter throughput for leadership. - Own the quality of recruiting data across sources, so every report can be trusted. - Surface trends, risks, and opportunities in the data, and recommend what to do about them. - Partner with Finance and People so hiring plans, headcount, and forecasts line up. WHAT YOU HAVE - 4+ years in recruiting operations, people analytics, or a similar analytical role. - Hands-on experience with ATS or HRIS tools, Excel, and BI tools - Experience building forecasts or capacity models from imperfect data. - Ability to turn an ambiguous business question into a structured analysis and explain it to technical and non-technical audiences. - Strong cross-functional skills: you can influence stakeholders and get them to act on your findings. COMPENSATION $131,300 - $180,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Задачи: — полный цикл создания AI-решений: от сбора требований и формирования концепции до запуска; — проектирование логики: разработка алгоритмов, последовательностей действий и промптов для ИИ-агентов; — разработка: самостоятельная сборка и настройка агентов на внутренней платформе компании; — постановка задач: описание технических требований для доработки платформы разработчиками. Требования: — аналитическое мышление: способность структурировать несистематизированную информацию, выявлять причинно-следственные связи и декомпозировать сложные бизнес-процессы до уровня простых алгоритмов; — базовые знания в области работы с данными: понимание принципов хранения данных и механизмов их передачи между информационными системами; — внимание к деталям: высокая степень ответственности при работе с требованиями, скрупулезность, стремление к детальному изучению сути проблемы (root cause analysis); — интеллектуальное любопытство: высокая мотивация к решению сложных, нестандартных задач и поиску оптимальных архитектурных решений. Будет плюсом: — навыки SQL: умение писать базовые запросы к БД (Postgres); — технический кругозор; — интерес к AI: желание изучать принципы работы LLM и проектировать интеллектуальных агентов; — быстрая обучаемость: готовность оперативно осваивать новое ПО и внутренние платформы компании. Условия: — неполный рабочий день; — можно удалённо; — на стажировку рассматриваются студенты из любых ВУЗов, любой формы обучения, включая заочную, включая магистратуру.

Location: Remote (US, Canada & UK) Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. About the role Our Finance & Analytics team owns the authoritative view of Metabase's business performance, and the opinionated read on what's driving it. Internally, this is used to drive decisions; externally, this is used to meet our obligations to investors, auditors, and tax authorities. We’re looking for a quantitative-minded generalist to lead a portfolio of analytical projects across the business and own an area of finance operations. Your analytical projects will focus on how we measure and understand the broader business: establishing authoritative definitions for key metrics and investigating what’s driving changes in the data. In your operational area, you’ll run the work and build systems that make it reliable and increasingly automated, drawing on external specialists for technical expertise. This isn’t a traditional finance role: we’re a small team of generalists who think in systems, learn unfamiliar domains quickly, and reason through problems from first principles. Responsibilities Leading analytical projects that change how we understand the business. Examples include: Adapting our ARR definition as our business model evolves Evaluating the health of our sales and marketing funnel Finding relationships between product initiatives and expansion or churn Owning a traditional finance domain (such as Accounting or Tax). This will involve a combination of operational work, managing external experts, and evaluating the overall health of the operation Automating the workflows in your domain so our operational and compliance requirements take as little manual effort as possible. Our aspiration is that areas of traditional finance are treated similarly to analytical systems: a set of inputs that are transformed via defined logic to produce a targeted outcome or insight Leading cross-functional projects to tackle operational problems as they arise About you You think in systems: you understand how pieces fit together, build reliable processes, and automate repetitive work You think in terms of numbers and are comfortable in a wide range of analytical domains, whether that’s financial modeling, doing intermediate statistical analysis, reviewing the methodology of external vendors, or transforming raw data. You can spot inconsistencies quickly, and enjoy getting to the right answer. SQL experience strongly preferred (nice-to-have: analytics engineering experience) You know how to use AI to improve efficiency, and enjoy experimenting with novel applications of the technology. Just as importantly, you know the limitations of AI and don't use it as a substitute for your own thinking You learn fast. For example, you don't need to be an accountant, but you can learn the rules of accounting (or other specialist domains) and apply them to day-to-day problems You are adept at managing vendors, building strong relationships, and holding them accountable when needed You have strong organizational skills with a high attention to detail: you enjoy checking items off your checklist, and can seamlessly balance multiple threads of work Minimum 3–5 years experience, preferably in a high-growth startup Strong quantitative undergraduate degree (nice to have: MBA) Based in the US, Canada, or UK Low-ego attitude: no job should be too small or too large Nice-to-have: some familiarity with accounting principles or coursework Compensation The US base salary range for this role is $150K–$200K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Задачи: — Расчет риск-параметров по инструментам, торгуемым на Московской Бирже — Регулярный пересмотр риск-параметров — Подготовка предложений для руководства по изменению риск-параметров

Location: Distributed; Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin TX, San Francisco CA, NYC, Atlanta GA OR Denver CO About the role The GTM Intelligence team helps Cloudflare's go-to-market organization make faster, better decisions with trusted data. We work with Sales, Technical Sales, Services, Finance, and our central Data teams to make sure the people who sell, deploy, and support Cloudflare get consistent, reliable answers to the questions that matter most. We're looking for a Senior GTM Analytics Manager to set and execute the vision for how information scales across Cloudflare's technical customer-facing teams. You'll support Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services. This role is less about building more dashboards or doing one-off deep dives and more about building the foundations to support true self-serve analytics.  You will focus on single source of truth artifacts, strategic alignment of metrics to actions, and the data models, metric definitions, and context layers that let anyone in these organizations get a trustworthy answer that fits their needs. That person might be an executive, a frontline manager, an engineer in the field, or an AI agent working for any of them. You'll be a technical expert and a strategic partner in one. You'll be as comfortable reviewing a dimensional model with Data Engineering as you are agreeing a metric definition with a VP of Professional Services. And you'll be our go-to voice on how analytics should change now that more and more questions get answered through AI. This is a senior individual contributor role with wide influence and no direct reports. What you'll do Define and drive a multi-year strategy for how Pre-Sales, Post-Sales, Solutions Engineering, FDE, and Professional Services find, trust, and use data, including a maturity model and a phased roadmap. Act as a thought leader on scaling information in an AI-first world, working out how semantic layers, governed metrics, and well-built context let AI assistants and agents give accurate, consistent answers grounded in our business. Review the current mix of dashboards, reports, and tools across these teams. Create a plan to consolidate them, retire duplicates, and move toward a single source of truth. Define, document, and carry out the official metrics for the teams you support. Keep metric definitions aligned with corporate definitions from Finance and Data, and resolve conflicts between teams with clear, defensible logic. Act as the main business and technical partner to the central Data team for the stakeholders you support. Influence and review the design of data models across systems such as Salesforce, professional services tools, product usage and telemetry, support, and finance. Design how people get answers: self-serve access, natural-language and AI-assisted querying, embedded insights in daily workflows, and curated metric catalogs. Set up a formal intake and governance process for new metric and data requests, including prioritization, ownership, certification, and change management. Build trusted relationships with leaders in Sales, Solutions Engineering, FDE, Professional Services, Customer Success, Operations, Finance, and Data. Explain complex technical and analytical ideas clearly to executives so they can make decisions. Desirable Skills, Knowledge, and Experience: 8+ years in analytics, business intelligence, analytics engineering, or GTM/Services operations at a high-growth B2B SaaS or technology company. Direct experience supporting at least one of the following: Pre- or Post-Sales Operations, Solutions/Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success. You understand how these teams work, how they're measured, and how their data is created. Deep data modeling expertise, including dimensional modeling, entity design, and metric layer design. You can review and challenge a data model, not just consume one. Expert SQL skills and hands-on experience with modern data stack tools such as BigQuery, dbt, or a semantic/metrics layer (for example dbt Semantic Layer, LookML, or Cube). Strong working knowledge of GTM and services systems data, such as Salesforce, professional services automation tools, and product usage or telemetry data. A clear, informed view on how AI changes analytics, including semantic layers, retrieval and context design for LLMs, text-to-SQL, and agent-based access to governed data, plus the data foundations those need to be accurate. A track record of defining and rolling out source-of-truth metrics across multiple stakeholder groups, including handling disagreements over definitions. Proven ability to lead complex, cross-functional programs without formal authority, and to influence executives and engineers alike. Excellent written and verbal communication skills, including turning ambiguous business questions into precise technical requirements and back again. BA/BS in a quantitative, technical, or business field. A Master's in Data Science, Analytics, Computer Science, or an MBA is a plus. Compensation Compensation may be adjusted depending on work location. Compensation may be adjusted depending on work location. For San Francisco Bay Area based hires: Estimated annual salary of $167,000 - $230,000. For New York City based hires: Estimated annual salary of $160,000 - $220,000. For Colorado - Remote based hires: Estimated annual salary of $146,000 - $200,000. Application Deadline: ~January 2027 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Будете собирать требования бизнеса, описывать процессы As Is и To Be, оценивать эффект изменений, вести бэклог и ставить задачи разработке.

- Формализация бизнес-логики и алгоритмов: Разработка детальной математической модели и алгоритма расчета объема закупок и распределения товаров с учетом: - Плеча доставки (Lead Time) и его отклонений (Supplier Delay Risk).

- Сбор и формализация бизнес- и системных требований. - Описание и моделирование бизнес-процессов.

- Сбор, анализ и формализация требований заказчиков и пользователей в рамках проектов. - Проектирование и описание бизнес-логики, разработка спецификаций под конкретные задачи заказчика.

Обязанности: — Анализировать бизнес-процессы и нормативную документацию заказчика. — Проводить интервью с представителями государственных ведомств и собирать требования. — Моделировать бизнес-процессы в BPMN и описывать системные требования. — Разрабатывать функциональные требования, user stories, use cases и критерии приемки. — Проектировать бизнес-процессы и workflow в Camunda. — Проектировать модели данных, справочники и интеграционные взаимодействия. — Анализировать API, форматы обмена данными и интеграции со смежными системами. — Участвовать в интеграционном тестировании и сопровождении внедрения. Требования: — Опыт работы системным аналитиком от 3 лет. — Знание BPMN и UML. — Опыт описания требований и проектирования бизнес-процессов. — Опыт интеграционного анализа (REST, SOAP, JSON, XML). — Понимание принципов построения интеграционных решений. — Умение работать с технической и нормативной документацией. — Английский язык на уровне чтения технической документации. Будет плюсом: — Опыт работы с Camunda. — Опыт участия в проектах цифровизации государственных услуг. — Опыт работы с интеграционными платформами и брокерами сообщений (Kafka). — Опыт работы с торговыми, таможенными или государственными информационными системами. — Опыт использования ИИ-инструментов в аналитической работе. Условия: — Уверенность в будущем. — Стабильный и прозрачный "белый" доход согласно ТК РФ. — Оформление полиса ДМС после испытательного срока. — Спортивные активности и поддержка спортивных инициатив. — Конкурентная заработная плата.

Задачи: — Участие в проектировании механизмов защиты информации для ОС, проработка архитектуры решений. — Анализ нормативной документации в области разработки ПО и защиты информации. — Формирование и контроль реализации технических требований к разрабатываемым механизмам защиты ОС, постановка задач в разработку. — Проработка сценариев использования механизмов защиты, исследование конкурентных решений. — Создание и поддержка документации: спецификации, проектные решения, UML-диаграммы (Use Case, Sequence, Component), методики испытаний. — Участие в формировании конструкторской документации по реализации СЗИ в ОС (модели данных, верхнеуровневое описание архитектуры решений, внешних и внутренних API). — Взаимодействие с командами разработки, QA-инженерами и специалистами по ИБ. Требования: — Опыт работы в должности системного аналитика в IT и ИБ компаниях. — Навыки администрирования операционных систем семейства Linux. — Понимание внутреннего устройства операционных систем семейства Linux (архитектура ОС, пользовательское окружение, управление процессами и памятью, управление ФС и вводом-выводом). — Знание принципов работы механизмов защиты информации (дискреционное, мандатное управление доступом, идентификация и аутентификация, контроль целостности, шифрование и другие). — Знание нормативной базы (ФСТЭК России, МО). — Навыки проработки сценариев использования и требований к механизмам защиты информации. — Знание основных процессов разработки ПО, его этапов и понимание роли аналитика в процессе. Будет плюсом: — Навыки моделирования работы программных систем (UML), описания процессов (BPMN), владение нотациями описания программной архитектуры (С4) или разработки технических заданий. — Желание разбираться в деталях технической реализации продукта. — Инициативность и самостоятельность. — Аналитические навыки и системное мышление. — Способность к упорядочиванию и структурированию большого объёма информации. Условия: — Заряженная команда. — Уверенность в будущем. — Стабильный и прозрачный «белый» доход и полноценный соцпакет согласно ТК РФ. — Офис в 2 минутах ходьбы от станции метро Бутырская. — Возможность удалённой работы. — Конкурентная заработная плата. — Расширенный полис ДМС. — Спорт и поддержка спортивных инициатив (сноуборд, лыжи, дайвинг, бег, футбольная и волейбольная команды, киберспорт, турниры по настольному футболу). — Бесплатный кофе, чай, печеньки и фрукты в офисе. — Корпоративные скидки и привилегии от BestBenefits.

• Опыт работы с MD NAV/Navision от 2 лет: техническая архитектура, кастомизации, C/AL, debugger.

Задачи: — Выполнение проектных задач по модели аутстафф (подключение специалиста в команду заказчика). Требования: Техническая подготовка: — Понимание методов анализа и проектирования систем. — Знание основных паттернов проектирования интеграций и best practices, включая синхронные и асинхронные взаимодействия. — Знание и понимание основных требований микросервисной архитектуры, рисков и проблем. — Четкое представление об особенностях RESTful взаимодействий. — Навык анализа предметной области проекта. — Навыки декомпозиции предметной области. — Навыки выделения максимально независимых функционалов/зон ответственности в микросервисной архитектуре. — Понимание принципов проектирования реляционных баз данных. — Понимание принципов проработки отказоустойчивости ПО на уровне команды разработки. Опыт работы с документацией: — Владение нотациями BPMN (логические, исполняемые), UML (sequence, activity и др.), C4 (уровень II, III). — Понимание отличий функциональных и нефункциональных требований, сбор и описание. — Проработка и документирование реляционных БД на логическом уровне (ERD). — Проработка и документирование программных интерфейсов (API): RESTful, Kafka, RPC. — Навыки ревью аналитической документации. — Навык описания существующих legacy-систем по доступным артефактам. Использование специализированных инструментов: — Инструменты управления проектами и совместной работой (Jira, Confluence). — Инструментарий чтения топиков Kafka. — Postman для проработки интеграций и проверки API. — Средства описания BPMN, UML. — Навыки работы с инструментами observability и мониторинга. Основы проектного менеджмента: — Понимание жизненного цикла разработки ПО (водопадная модель, Agile, Scrum). — Оценка рисков и управление ими. Навыки межличностного взаимодействия и коммуникации: — Эффективная коммуникация, умение взаимодействовать со стейкхолдерами. — Четкое изложение мыслей и передача сложных концепций. — Сотрудничество с различными специалистами команды (разработчики, дизайнеры, тестировщики, менеджеры проектов). — Навыки переговоров и фасилитации: проведение интервью, фасилитация встреч и совещаний, проведение грумингов. Soft Skills и личностные характеристики: — Критическое мышление и аналитический склад ума. — Структурированный подход к решению задач. — Навыки проработки сложных, многофакторных, неочевидных задач и задач с research частью. — Выявление скрытых зависимостей и противоречий в требованиях. — Умение выявлять и корректно обрабатывать манипуляции. — Внимание к деталям при составлении документов и работе над проектом. — Контроль полноты и точности спецификаций. — Способность адаптироваться к изменениям, гибкость в изменении планов и подходов. — Быстрая адаптация к новым требованиям заказчика. — Умение и желание учиться. — Самостоятельность и инициативность, проактивность в поиске путей улучшения рабочих процессов. — Навык принятия конструктивной критики, спокойное восприятие обратной связи и готовность совершенствоваться. Условия: — Оформление по ИП/Самозанятости. — Удаленный формат работы. — Полная занятость.

MD NAV/Navision: опыт от 2 лет, понимание технической архитектуры, кастомизаций, C/AL и работы с debugger. Сбор и анализ требований, взаимодействие с заказчиками, описание бизнес-процессов, сценариев использования и требований.

• Опыт консультантом/аналитиком 1С ДО от 2 лет.