Аналитика вакансии - удалённо

Location: EMEA; Hungary; Portugal; Spain; Poland Workplace: Remote ✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere. We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing: - Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time - Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek - A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance - The only B Corp-certified global employment platform ~ independently verified since 2023 Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one. And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply. THE ROLE Location: While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be currently based within the EMEA region. Ever built an automation that saved hours of manual work, only to discover the real problem was the process itself? That's exactly the kind of challenge you'll tackle at Oyster. We help companies employ people across dozens of countries. Behind every successful payroll cycle are hundreds of details that need to be right: benefits, expenses, time off, timesheets, salary changes, and country-specific requirements. The challenge? Not all that information arrives neatly packaged. Some comes through payroll platforms and service systems. Other details are buried in emails, contracts, receipts, attachments, or requests that need a human to make sense of them. Your job is to turn that complexity into reliable, automated workflows. You'll identify what's slowing teams down, question whether certain steps are needed at all, and build solutions that turn messy information into accurate, validated, payroll-ready data. This is a hands-on role where you'll take ownership of defined automation projects, from understanding the problem and building a solution to launching it, monitoring performance, and making improvements. You'll work with tools like n8n, Alteryx, SQL, APIs, and AI, but you won't be expected to use AI for everything. Sometimes the smartest solution is a simple rule, a better process, or preventing an issue before it happens. And because your work directly affects people's pay, getting things right matters just as much as making them faster. The goal? Less repetitive work, fewer avoidable issues, and smoother, more predictable payroll cycles across countries. HERE'S WHAT YOU'LL BE WORKING ON: - Understand what really happens behind the scenes. Map payroll processes from start to finish, including how information moves between systems, where validation and calculations happen, what needs reconciling or reporting, and how deadlines, country-specific rules, and exceptions affect the process. - Find the work worth automating. Identify repetitive tasks, manual checks, and recurring problems. Use data to assess their impact on customers and Team Members, how often they happen, the risks involved, implementation effort, and whether a solution can work across countries. - Fix the process, not just the task. Question unnecessary steps and look for ways to prevent missing information, avoidable requests, and errors before they reach payroll. - Turn expert knowledge into reliable rules. Work with payroll and operations specialists to translate complex policies and requirements into clear, documented, version-controlled logic, including effective dates and required data. - Put AI to practical use. Use large language models (LLMs) to understand requests, extract information from documents and emails, and direct cases to the right place. Build validation checks so AI-generated outputs are verified before they affect payroll. - Build automations that actually run. Create, connect, and maintain workflows using n8n, Alteryx, and LLM-based tools, integrating service platforms, payroll systems, databases, APIs, and internal tools. - Know when not to automate with AI. Choose between rule-based logic, workflow automation, AI, and human review depending on the task. Keep predictable legal and policy requirements in transparent, auditable rules, and document your decisions. - Build reliability into every workflow. Include audit trails, error handling, alerts, exception queues, and appropriate approval controls. Make sure records are never silently changed, dropped, or excluded. - Test before it matters. Build prototypes quickly, then test them against real payroll scenarios, unusual cases, and exceptions. Use shadow testing and parallel runs before introducing changes that affect live payroll. - Make payroll operations more proactive. Automate timely information sharing, payroll-input checks, the identification of exceptions that affect pay, and reconciliation between payroll and invoices. - Own what happens after launch. Track performance, measure whether automations deliver the expected improvements, troubleshoot issues, and improve or retire solutions that aren't working. - Work with the teams building the bigger picture. Partner with Product, Engineering, and Data when a problem needs a lasting platform-level solution. Turn operational insights into clear requirements and working examples they can build on. - Handle sensitive information responsibly. Apply privacy, security, and responsible-AI standards, especially when working with health, leave, or other sensitive payroll information. Make sure uncertain or compliance-sensitive cases reach the right people for review. You'll likely enjoy this role if you like getting into the details of how things work, spotting opportunities others miss, and building solutions yourself. HERE'S THE EXPERIENCE WE'RE LOOKING FOR: - 3+ years of relevant experience in operations automation, process improvement, business or process analysis, payroll operations, internal tooling, or a similar field. - You've built automations yourself. You've taken workflows into production using tools such as n8n, Alteryx, Make, Zapier, Power Automate, or similar, and have experience keeping them running. We're looking for someone who builds, not just someone who designs or documents solutions. - You've used LLMs to solve practical problems. You know how to turn unstructured text or documents into usable data and can recognise when a simpler, rule-based solution is the better choice. - You're comfortable connecting systems. You've worked with APIs, webhooks, and integrations to get different tools and data sources working together. - You know your way around SQL and data. You can investigate, combine, validate, and analyse information from multiple sources, even when the underlying data is complex. - You can bring structure to messy processes. You're able to turn inconsistent inputs, unusual cases, and complicated requirements into clear rules and data requirements. - You take accuracy seriously. You understand the importance of checks, controls, and investigating discrepancies, particularly when errors could affect someone's pay. - You can explain technical ideas clearly. You're comfortable working with non-technical colleagues, asking the right questions, and constructively challenging requests when automation isn't the best answer. - You take ownership beyond the build. You can move from identifying a problem through implementation, testing, launch, monitoring, and ongoing maintenance. YOU DON'T NEED TO TICK EVERY BOX BELOW, BUT ANY OF THESE WOULD HELP YOU GET UP TO SPEED: - Experience with multi-country payroll, Employer of Record (EOR) services, finance operations, or HR operations. - Understanding of payroll concepts such as gross-to-net calculations, payroll cut-offs, statutory deductions, taxable benefits, expense taxability, and reconciliation. - Experience building tools that validate or reconcile payroll or financial data. - Familiarity with Zendesk or other customer service platforms and their automation capabilities. - Hands-on experience with n8n or Alteryx specifically, although comparable automation tools are equally relevant for the core requirements. - Experience with prompt design, AI agents, or retrieval-augmented generation (RAG) workflows. - JavaScript or Python skills for data transformations. - Experience measuring operational improvements through metrics such as first-time accuracy, processing time, service-level performance, or error rates. THIS MIGHT NOT BE RIGHT FOR YOU IF... - You'd rather design automation strategies or workflows than build, launch, and maintain them yourself. - You prefer using AI for every problem, even when a straightforward, auditable rule would be more reliable. - You measure success mainly by speed or the number of automated tasks, rather than accuracy, proper approvals, and resolving discrepancies. - You don't enjoy digging into complicated processes, inconsistent information, or country-specific exceptions. - You're looking for full ownership of company-wide automation strategy. Here, you'll own clearly defined projects and work closely with operational specialists and engineering teams on broader changes. HOW WE WORK TOGETHER AT OYSTER Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team. Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us. HOW YOU WORK With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster: - Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere. - Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country. - Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service. - Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options. - Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally. - WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly. ✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE  We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment. Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations. Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.

• Сбор и подготовка бизнес-требований и описание процессов. • Описание моделей данных ИТ-систем (до атрибутов сущностей).

– Проектирование витрин данных с нуля — под запрос, который заказчику трудно сформулировать. – Опыт на банковских проектах.

работать с командой и внешними заказчиками для сбора и выявления требований, способов их реализации, вариантов скоупа и сроков поставки; ставить задачи разработчикам, отвечать на вопросы, описывать бизнес-процессы, модели данных, архитектуру и всё что посчитаешь необходимым;

Собирать и консолидировать потребность в закупке от бренд-менеджеров, проверять полноту и качество входных данных; Валидировать объёмы закупки с учётом плана продаж, остатков, товаров в пути, оборачиваемости, сезонности и целевой доступности;

– Опыт аналитики мобильных игр от 4 лет, сильная экспертиза в продуктовых и F2P-метриках (Retention, LTV, ARPU/ARPDAU, ROAS). – Уверенный SQL, Python, опыт A/B-тестирования и работы с BI.

Требования: — Опыт в аналитике не менее 4 лет в роли системного аналитика. — Участие в проектах с распределёнными системами под высокой нагрузкой (Highload). — Владение современными open-source инструментами. — Подтверждённая практика проектирования интеграций с Apache Kafka (понимание топиков, партиций, гарантий доставки). — Опыт работы с инструментами сбора и CDC: Vector, Debezium (понимание механики отслеживания изменений в данных). — Широта архитектурного мышления: ориентация в паттернах микросервисной архитектуры, понимание работы REST (OpenAPI/Swagger) и gRPC. — Общее знакомство с Kubernetes и Service Mesh. — Погружение в Observability с пониманием трёх опор наблюдаемости: метрик, логов и трассировки (OpenTelemetry). — Различение принципов работы систем онлайн-мониторинга (алертинг, режим реального времени) и аналитических хранилищ (DWH, анализ исторических данных). — Наличие опыта или готовность освоить сопоставление (корреляцию) разнородных данных и проектирование бизнес-метрик. — Навыки работы с данными и миграциями: уверенное владение SQL/PQL. — Опыт или стремление освоить проектирование и настройку автоматизированного переноса данных между хранилищами. — Системный склад ума и способность доходить до корня технической проблемы. — Умение доносить сложные технические показатели простым языком как до бизнеса, так и до разработчиков. — Командная работа, доброжелательность, открытость к переменам. Задачи: — Работа с требованиями: общение с ИТ-командами и бизнес-заказчиками для выявления потребностей в мониторинге, логировании и алертинге. — Проектирование движения данных: создание схем потоков данных (Data Flow Diagram) — от бизнес-систем через Vector/Kafka до целевых хранилищ платформы. — Автоматизация переноса данных: участие в разработке инструментов, позволяющих автоматически переносить конфигурации и исторические данные мониторинга. — Подготовка документации: написание ТЗ, маппингов данных, описание формирования метрик, SLO/SLI и правил корреляции событий. — Сопровождение и разбор инцидентов: постановка задач разработке, авторский надзор, анализ аномалий в потоках данных мониторинга и поиск узких мест. Условия: — Полный рабочий день. — Возможна удалённая работа. — Проект бессрочный, локация — любая. — Работа в аутстафф-компании, подбор специалистов для длительных проектов в сфере высоконагруженных распределённых систем.

О проекте: масштабное внедрение и развитие системы 1С:ERP Управление холдингом (ERP УХ) в крупной авиационной структуре. Проект находится в активной фазе, темп работы высокий. Задачи: — настройка правил отражения документов оперативного учета (закупки, склад, продажи, казначейство) в бухгалтерском и налоговом учете; — автоматизация формирования книги покупок/продаж, деклараций, регламентированных отчетов и закрытия налоговых периодов; — консультирование бухгалтерии заказчика по сложным вопросам отражения хозяйственных операций в новой системе. Требования: — опыт работы Аналитиком 1С от 5 лет; — опыт в 1С:ERP УХ в качестве Аналитика 1С и успешный опыт запуска контура регламентированного учета; — высшее экономическое или бухгалтерское образование будет весомым преимуществом; — отличное знание методологии бухгалтерского и налогового учета, ПБУ, специфики учета НДС и налога на прибыль (РСБУ и НК РФ). Условия: — загрузка 100%; — удаленный формат работы; — редкие командировки в Самару, Екатеринбург; — проживание в Екатеринбурге или готовность работать по графику МСК+2; — гражданство РФ.

Нужен сильный аналитик на крупный проект на коробочной версии Б24. Роль сочетает бизнес-анализ и системное проектирование, плюс курирование команды аналитиков (3-4 человека) в рамках проекта.;

Анализ бизнес-требований и бизнес-процессов заказчика, формирование ФТ и НФТ на автоматизацию, согласование требований с заказчиками и стейкхолдерами. Проектирование процессно-технологического решения, управление процессом проектирования для получения ожидаемых результатов с помощью оптимального количества доработок систем и изменений в бизнес-процессах.

Размечать карточки компаний по заданным признакам (например, pricing power по шкале 0/1/2, уровень долговой нагрузки, зависимость от одного клиента) с обязательной ссылкой на источник. Проверять выводы AI-агента по первичке: читать отчёт или транскрипт, сравнивать с оценкой модели, фиксировать расхождения и их причину.

You'll own the data behind ordering and catalog operations: figure out why orders run late and where supplier integrations break, then turn what you find into clear tasks for engineering. - Build and own dashboards for orders, catalog health and customer activation.

Location: Toronto; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Summary We seek a highly organized, automation-minded Delivery Operations Analyst to connect GTM and Delivery Engineering teams under a unified operational system. Core duties include owning operational processes, data quality, and automation that move customer opportunities from GTM brief through commercial approval to delivery assignment. Maintain accurate data across Salesforce and Mission Control to support delivery execution. A core expectation is to identify, design, implement, and continuously improve automation across the GTM-to-Delivery workflow(affectionately called Deal Desk, using workflow automation, North, and other appropriate tools. You will own automation outcomes end-to-end, from identifying manual inefficiencies through implementation, testing, monitoring, and iteration. The ideal candidate combines operational rigor with a systems mindset, proactively looking for ways to eliminate repetitive work, improve data quality, reduce coordination overhead, and build scalable processes. Key Responsibilities - Oversee the operational process for new customer briefs submitted by GTM to Deal Desk; ensure required information and proper routing for approval. - Coordinate the transition from commercial approval to the Engineering Program Manager for delivery team assignment. - Track opportunities through pre-delivery stages, identifying actions, blockers, and missing information. - Ensure clear, timely handoffs between GTM, Deal Desk, and EPM. - Maintain accurate, timely data from the Deal Desk process; keep Salesforce and Mission Control updated with customer, opportunity, commercial, and delivery details. - Establish standards for data entry, documentation, and operational hygiene. - Develop and maintain reporting on Deal Desk volume, pipeline progression, approvals, delivery assignments, and operational metrics. - Identify process trends, bottlenecks, and gaps; recommend efficiency improvements. - Develop and maintain process documentation, workflows, and operational playbooks. - Help establish clear ownership, SLAs, and operating standards across the workflow. - Identify opportunities to streamline, standardize, and automate manual processes across the GTM-to-Delivery workflow. Qualifications - 2–4 years of experience in business analysis, operations, revenue operations, sales operations, project coordination, or similar roles. - Experience working with CRM and business operations systems. - Strong analytical and organizational skills with exceptional attention to detail. - Comfortable working across multiple teams and managing processes with numerous stakeholders. - Strong skills in building automations and working with multiple AI tools - Ability to identify inconsistencies, investigate root causes, and drive issues to resolution. - Strong written and verbal communication skills. - Process oriented but being able to convert nebulous ideas into discreet actionable steps and systematizing work - Experience with data reporting, dashboards, or business intelligence tools is an asset. WORKING LOCATION: This role can be based remotely from the Greater Toronto area, Montreal or Ottawa - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Ожидания от кандидата Коммерческий опыт в роли Data Analyst от 3-х лет ; Уверенное владение инструментами аналитики данных: SQL (включая оконные функции, агрегаты, подзапросы), Python для обработки и анализа больших данных ;

Описание проекта: Нужен сильный аналитик на крупный проект на коробочной версии Б24. Роль сочетает бизнес-анализ и системное проектирование, плюс курирование команды аналитиков (3-4 человека) в рамках проекта.;

• Моделирование бизнес-процессов в 1С:СППР (EPC, BPMN, IDEF0). • Сбор и анализ требований, подготовка ТЗ для разработчиков на уровне метаданных.

– Сбор, анализ и формализация требований заказчика, включая проведение интервью, изучение документации и нормативно-правовых актов; – Моделирование бизнес-процессов AS-IS/TO-BE;

- Сбор и детализация требований бизнеса, перевод на технический язык 1С. - Функциональное моделирование процессов (To-Be) для блоков «Склад», «Закупки», «Продажи», «Производство», «Ремонты».