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Location: Москва Наш продукт - внедрение новых решений и адаптация текущих сервисов, основанных на внутренней разработке, для создания передовой торговой платформы цифровыми финансовыми активами (как валютами, так и правами). Основной фокус – интеграция новых технологий, таких как блокчейн и смарт-контракты, в существующие банковские системы. Требуется опытный бизнес-аналитик, способный разобраться в сложных процессах и обеспечить соответствие требованиям законодательства и внутренних стандартов банка Обязанности ### Чем предстоит заниматься: * составление и анализ требований к функциональности АС (учет криптоактивов) * формализация бизнес-требований для новых учетных функций * подготовка ВНД и согласование бизнес-процессов с заинтересованными подразделениями Банка * проектирование, разработка логической бизнес-архитектуры и доработка решений в области разрабатываемых решени * проектирование процессов отражения операций в учетных системах и автоматизация сверок * ведение документации по проекту аналитическое сопровождение разработки и тестирования * участие в приемке реализованного функционала. Требования ### Для нас важно: * опыт в роли бизнес аналитика от 3 лет в банках или финансовых компаниях * опыт работы с продуктами финансовых или глобальных рынков, понимание принципов финансового учета * опыт работы с платежными системами, финтехом или криптопродуктами * знание жизненного цикла базовых объектов системы (сделки, требования/обязательства, регистры и т.д.) * опыт создания прототипов решений, пользовательских интерфейсов * опыт анализа, моделирования бизнес-процессов (BPMN, Aris, UML) * опыт внедрения финансовых инструментов (ценные бумаги и товарные активы) Условия ### **Мы предлагаем:** * комфортный современный офис рядом с м. Ленинский проспект * ежегодный пересмотр зарплаты и годовая премия * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Москва Команда маркетинга СберПрайм отвечает за привлечение, удержание и монетизацию подписчиков экосистемы. Стек: * Яндекс Метрика * Power Bi * SQL * Java Script (опционально) * HTML (опционально) * Phyton Обязанности * анализ источников трафика/рекламных кампаний: предложения, гипотезы, тестирование * формирование аналитических справок, отчетов и дашбордов по взаимодействию пользователей с web-ресурсами и мобильными приложениями * визуализация и автоматизация аналитических отчетов (Power BI) * исследовательская деятельность в области поиска особенностей, закономерностей и подтверждения или опровержения гипотез по поведению пользователей на web-ресурсах и в мобильных приложениях * поддержание в актуальном состоянии методологии разметки маркетинговых данных и контроль корректности сбора данных (сравнение данных, полученных из разных систем) * поиск, анализ и устранение проблем в настройках систем веб-аналитики и других рекламных систем; * работа во внутренних системах аналитики банка, выгрузка кастомных отчетов, отслеживание метрик качеств. Требования * наличие опыта работы в сфере аналитики от 1+ года * хорошее знание SQL (оконные функции, умение оптимизировать запросы) * знание Python (применение основных аналитических библиотек) * знание базовых принципов математической статистики и основ теории вероятностей * владение инструментами Excel (сводные таблицы, создание диаграмм и отчетов) * знание систем веб-аналитики, пикселей рекламных кампаний и мобильных трекеров (Я.М., Adserving и пр.) * готовность учиться новому и развиваться вместе с нашей командой * способность работать в условиях многозадачности * будет являться преимуществом наличие опыта в финтехе Условия * комфортный современный офис * корпоративный спортзал и зоны отдыха * уникальная система обучения Сбера для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС и льготное страхование для семьи * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Colombia We are seeking an experienced Investment Banking Associate to support complex M&A transactions, financial analysis, and deal execution. The ideal candidate has previous experience in investment banking, strategy consulting, transaction advisory, private equity, or corporate development. This role requires excellent financial and accounting knowledge, advanced presentation skills, strong attention to detail, and outstanding written and spoken English. Key Responsibilities Build complex financial models using historical financial statements, operating assumptions, and detailed projections. Review financial statements for accuracy and compliance with applicable accounting standards, including U.S. GAAP. Identify and correct accounting classifications and inconsistencies across financial reports. Create detailed, polished, and visually compelling PowerPoint presentations. Support all stages of M&A deal execution, including due diligence, financial analysis, marketing materials, and transaction documentation. Draft clear, professional, client-facing materials in English. Collaborate with internal and external stakeholders throughout transaction processes. Use AI tools to improve research, analysis, document preparation, and overall workflow efficiency. Manage multiple priorities and deliver accurate work under tight deadlines. Requirements 3–5 years of relevant professional experience; candidates must have at least 2 years and no more than 10 years of relevant experience. Direct experience with mergers and acquisitions. Strong financial modeling and valuation capabilities. Solid understanding of financial statements and U.S. GAAP. Advanced PowerPoint skills and a strong eye for presentation design. Excellent written and spoken English. Strong analytical, organizational, and problem-solving skills. High attention to detail and the ability to work independently. Comfort using AI tools and learning new technology-driven workflows. Based in Colombia, preferably Bogotá, although exceptional candidates in other locations may be considered. Preferred Background Candidates with experience in the following environments will be strongly considered: Investment banking, particularly within an M&A team. Strategy or management consulting involving M&A due diligence. Transaction advisory or M&A accounting at an accounting firm. Private equity investment or acquisition teams. Corporate development or internal M&A strategy. Ideal Candidate You combine strong technical finance and accounting knowledge with excellent communication and presentation abilities. You can transform complex financial information into accurate models and compelling materials, exercise sound judgment, and contribute effectively throughout the entire deal lifecycle. Benefits Benefits Competitive salary (USD) Work From Home Flexible hours

Location: Vienna, Austria About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. A junior Controls Analyst sits in the second line and does the groundwork that keeps the control environment visible — maintaining the inventory, gathering evidence, testing controls. Core responsibilities Risk and control framework Maintain the approved control inventory, including control descriptions, owners, frequency and evidence requirements; process additions through the agreed governance process. Map controls to processes, risks and applicable obligations. Identify control gaps, duplicate controls, outdated records and missing ownership for review. Support Risk and Control Self-Assessment (RCSA) cycles by collecting inputs, checking completeness and recording changes to risks, controls and action plans. Evidence and control testing Request and organise evidence from control owners across departments, maintain an accessible audit trail and follow up on overdue submissions. Perform sample-based second-line testing under an approved test plan, assessing control design and operating effectiveness as applicable. Document the test scope, sample, evidence, results and conclusion. Distinguish control failures from cases that cannot be tested because evidence is unavailable, and escalate material findings. Issues and remediation Record control deficiencies and agreed actions with clear descriptions, owners, due dates and status; follow up on overdue or recurring issues. Review evidence of completed actions and, where required, retest before recommending closure. Escalate unresolved matters through the agreed process. Cross-department control monitoring dashboards Build and maintain dashboards that monitor key controls across departments against agreed thresholds, including control performance, overdue evidence, testing exceptions, open issues and remediation timeliness. Work with risk and control owners to document approved indicators, thresholds, data sources, review frequency and escalation triggers. Check that dashboard data is consistent, complete and traceable to the underlying records. Monitor threshold breaches and adverse trends, investigate anomalies with control owners, and escalate exceptions with clear context and action status through periodic risk reports and governance meetings. GRC records and audit support Keep risk, control, process, evidence and issue records current in the GRC tool; run data quality checks and prepare standard reporting extracts. Prepare relevant records and evidence for internal audit, external audit and regulatory reviews in coordination with the wider team. Requirements Attention to the details and result oriented One to three years of relevant experience in operational risk, internal controls, internal audit, compliance or a regulated operating environment. Strong Excel skills, including the ability to consolidate and check data, use formulas and pivot tables, and build clear dashboards or management reports. Ability to understand process flows and risk and control relationships, apply a defined testing method, and write clear findings supported by evidence. Clear written and spoken English, German language nice to have Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Remote - Europe Workplace: Hybrid ABOUT CONSENSYS Consensys Incorporated is an independent blockchain infrastructure company, spun out of Consensys Software Inc. — one of the world's leading blockchain technology companies and the primary development organization behind the Ethereum ecosystem. We build and operate neutral, institutional-grade blockchain infrastructure that connects banks, asset managers, custodians, and financial market infrastructures to digital asset networks, meeting the non-negotiable standards of institutional finance: privacy, scalability, resilience, security, and regulatory readiness. Headquartered in Miami, Florida, and operating across the US, Europe, and Australia, Consensys Incorporated launched as an independent entity in September 2026 and is building the team to match its ambition. WHY THIS ROLE EXISTS Following Consensys's strategic transition into two independent entities (MetaMask for consumer platforms and Consensys focusing on protocols and institutional infrastructure), we are seeking an experienced Security Operations Center (SOC) Analyst to join our security organization. Consensys powers the core infrastructure driving the decentralized web, including Linea mainnet and the open-source Lineth ZK rollup stack recently donated to Linux Foundation Decentralized Trust. The SOC Analyst will be responsible for architecting, building, and operating a comprehensive 24/7 monitoring and alerting ecosystem across our entire digital asset footprint. This role spans enterprise IT SaaS environments, core blockchain infrastructure, and Web3 smart contract security. The SOC Analyst will bridge traditional cybersecurity operations with cutting-edge Web3 threat detection, protecting our corporate IT stack (JumpCloud, AWS, Google Workspace, GitHub, Notion, Zoom), Linea mainnet infrastructure, and ecosystem DeFi protocols against emerging cyber threats and exploits using tools such as Hypernative, Hexagate, and Blockaid. WHAT YOU’LL OWN 1. Enterprise IT Security & SaaS Monitoring - Architect and maintain centralized log collection, SIEM integration, and incident response services across AWS (utilizing Amazon GuardDuty and AWS CloudTrail) and corporate IT services including JumpCloud, Google Workspace, GitHub, Notion, and Zoom. - Develop custom detection rules and alert logic to detect unauthorized access, privilege escalation, credential compromise, and anomalous user activity. - Ensure complete security logging visibility, audit readiness, and access control management across all corporate platforms. 2. Infrastructure & ZK-Rollup Monitoring (Linea & Lineth) - Establish real-time security monitoring for Linea mainnet and the open-source Lineth ZK rollup stack (including Besu execution layer, Maru consensus, coordinator, and provers). - Monitor RPC endpoints, sequencer performance, L1/L2 messaging reliability, state root finalization, and infrastructure telemetry. - Collaborate with the DevOps team and core engineering teams to detect and mitigate infrastructure threats, DDoS attacks, and zero-day vulnerabilities. 3. Web3 & Smart Contract Threat Detection - Implement and tune real-time Web3 threat monitoring platforms including Hypernative, Hexagate, and Blockaid. - Build automated alerts to detect suspicious smart contract interactions, flash loan attacks, reentrancy exploits, liquidity drains, and unauthorized bridge activity on Linea mainnet. - Perform onchain forensics and transaction trace analysis to safeguard ecosystem DeFi protocols and institutional assets. 4. Incident Response & Threat Hunting - Serve as a primary responder for security alerts originating from IT SaaS, cloud infrastructure, and Web3 protocol layers, utilizing Grafana Cloud IRM to manage on-call rotations and incident management. - Lead triage, investigation, containment, and post-mortem root cause analysis for confirmed security incidents. - Proactively conduct threat hunting across system logs, cloud environments, and onchain transaction streams. 5. Security Automation & Detection Engineering - Automate incident response playbooks and triage workflows using SOAR tools and custom scripts (Python, Go, Bash). - Continuously refine detection rules to reduce false positives and improve Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR). - Integrate automated containment mechanisms across access management, cloud IAM, and Web3 security providers. 6. Compliance, Governance, and Reporting - Maintain detailed incident records, forensic evidence, and documentation in alignment with SOC2 and ISO compliance frameworks. - Prepare security operational metrics, alert volume analysis, and threat reports for leadership. - Ensure compliance with corporate security policies and access controls across all environments. 7. Threat Intelligence & Ecosystem Collaboration - Monitor Web3 threat landscapes, tracking emerging smart contract exploit techniques and threat actors targeting L2 ecosystems. - Coordinate with external security researchers, bug bounty programs, and Web3 security alliances to share intelligence. - Participate in incident response drills, security reviews, and audit remediation with external security partners. WHAT WE ARE LOOKING FOR - 3–5+ years of experience in Security Operations, Detection Engineering, or Incident Response within cloud-native or Web3 environments. - Hands-on experience configuring and maintaining monitoring, threat detection, and incident analysis services for AWS (such as Amazon GuardDuty and AWS CloudTrail) and enterprise IT platforms (JumpCloud, Google Workspace, GitHub, Notion, and Zoom). - Direct experience using Web3 security and onchain monitoring tools such as Hypernative, Hexagate, and Blockaid. - Deep technical understanding of Ethereum, L2 scaling architectures, ZK-rollups (Lineth stack, Besu execution, prover systems), and smart contract vulnerabilities. - Proficiency in log management, monitoring platforms (such as Grafana), SIEM/SOAR platforms, and scripting languages (Python, Go, Bash, or SQL). - Familiarity with SOC2, ISO 27001, NIST, or SANS security frameworks. - Strong communication, problem-solving, and analytical skills in a fast-paced, remote-first environment. BENEFITS OF THIS ROLE - The opportunity to safeguard cutting-edge Web3 and ZK-rollup infrastructure at the forefront of blockchain technology. - A dynamic and collaborative work environment with a passionate and talented team. - Competitive compensation package, including salary, benefits, and performance-based incentives. - A platform to influence the future of decentralized technologies and financial systems. REPORTING STRUCTURE - Reports to: Head of Security. - Team: Working closely with our dedicated DevOps team, Head of Security, and Site Reliability Engineer, this role will serve as the founding member of the incident response team. WORKING AT CONSENSYS We are a fully remote, globally distributed company. We hire the best people wherever they are, work asynchronously, and judge each other on impact rather than hours or location. We offer competitive compensation, meaningful equity, and the chance to work on genuinely open source software at the frontier of web3. Consensys is an equal opportunities employer. We celebrate diversity and are committed to building an inclusive environment for all employees.

Требования: — 3+ года в аналитике и опыт управления командой или функцией — Обязателен опыт в Gaming, CPA и Affiliate — Понимание экономики iGaming-трафика и ключевых метрик — Уверенное владение SQL, Excel или Google Sheets, BI О компании: CPA Network / iGaming

Требования: — 3+ года опыта в роли бизнес-аналитика / процессного аналитика / аналитика по эффективности — Опыт работы в предметной области логистики — Опыт анализа бизнес-процессов и расчёта их эффективности — Желателен опыт работы в ритейле

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're looking for a Senior Financial Systems Analyst who will drive the transition from manual, repetitive legacy work to more accurate, streamlined, and automated models, dashboards, and data feeds. Your work will change from week-to-week and month-to-month as you partner with FP&A to redesign how the team plans and forecasts, build new dashboards, and train AI agents to do the tedious stuff automatically. We need someone who combines financial acumen with technical know-how — translating model assumptions and drivers into the right long-term solution, whether that's a Pigment model, a Python script, or an AI agent. You'll also own the trustworthiness of the numbers Finance leaders rely on, building systematic data-quality checks and partnering with the Data/Analytics Engineering team to resolve upstream data issues. And because a fix that only you can maintain isn't really a fix, you'll document your models clearly enough that analysts without a Pigment or Python background can self-serve basic changes — empowering the team with tools that completely solve problems without manual workarounds. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Pigment, BigQuery, NetSuite, Omni, Sigma, Claude Code What You’ll Do Partner directly with FP&A business partners across Sales & Marketing, R&D, and G&A to understand how each team plans, forecasts, and reports today, then work together to identify manual, repetitive Finance work that Pigment integrations, Python scripts, and AI agents can streamline and automate. Own the end-to-end build of new and migrated Pigment models — data blocks, formulas, workflows, dashboards, and views — turning fuzzy business asks from FP&A into technical solutions people actually want to use. Collaborate on the design and maintenance of our Pigment architecture, ensuring we avoid a tangled mess of metrics, dimensions, and boards and keep our tools easy-to-navigate. Team up with your peers on the Finance Systems team to build durable integrations between Pigment, BigQuery, and other finance systems, so the data everyone needs shows up accurately and automatically instead of through manual workarounds. Put systematic data-quality checks in place — reconciliations, change monitoring, variance alerts — so business partners can trust the numbers without manual effort. Document what you build clearly enough that a Finance analyst with no Pigment or Python background can self-serve basic changes. Loop in the Data/Analytics Engineering team when a request needs a new data connection or you find an upstream data problem. Skills We’re Looking For 5+ years of experience in financial systems, FP&A, or analytics engineering, with hands-on work in an EPM platform (Pigment, Anaplan, Adaptive, or similar) — or an equivalent analytics-engineering background (SQL, dbt, Python) with a strong interest in moving into EPM/finance systems work. Proven experience using AI agents/LLM tooling to automate finance workflows. Ability to sit with a Finance stakeholder, listen to a messy description of “how we currently do this,” and come back with a well-scoped technical plan. Working proficiency in Python — or willingness and ability to learn via Claude Code or Codex. Strong SQL skills and comfort working in a cloud data warehouse (BigQuery or similar). High attention to detail — this role will work on models that inform real business decisions, so the ability to audit models and build intuition on outputs matter as much as speed. Strong communication skills — able to explain a data discrepancy or a modeling trade-off to someone without a systems or data background. Bonus Skills​ Prior experience inside an FP&A or corporate finance function (not just building tools for one from the outside), ideally supporting a Sales, R&D, or G&A finance function specifically. Prior experience building a Sales Capacity/Planning model or a Supply Chain model in Pigment, Anaplan, or another similar planning platform. Familiarity with BI tools such as Tableau, Looker, Sigma, or Omni. Experience with dbt or another data-transformation framework. # LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Требования: — Опыт в роли аналитика от 3 лет (middle+), Senior — от 5 лет — Опыт в банках от 1 года обязательно — Сбор и анализ требований, проектирование и документирование решений — Моделирование: BPMN, UML (Activity, Sequence), PlantUML

Требования: — 3.5+ года опыта System Analyst + Product Owner — Уверенное владение UML / BPMN, Jira, Confluence и Draw.io — Уверенный SQL и опыт с реляционными базами данных — Практический опыт с REST, SOAP, SFTP, OpenAPI и Postman О компании: Проект по enterprise-интеграциям и автоматизации процессов страхования и клиентского сервиса.

В крупной компании, занимающейся добычей золота, требуется старший финансовый аналитик для выполнения задач, связанных с финансовым анализом, моделированием и подготовкой ключевых финансовых показателей. В обязанности входит создание финансовых моделей, анализ данных, работа с финансовой и бухгалтерской отчетностью, а также подготовка и оценка финансовых результатов. Кандидат должен иметь опыт работы на аналогичной должности от одного до двух лет, высшее образование в области финансов или экономики, уверенные навыки работы с Excel. Дополнительным преимуществом будет опыт работы в одной из компаний Big 4 и наличие сертификата CFA.

Требования: — 2–5 лет опыта — Опыт работы с финансовыми, транзакционными или большими структурированными данными — Понимание баз данных, обработки, сопоставления, группировки и агрегации данных — Уверенное использование AI-инструментов для прикладных задач Важно: — только РФ О компании: Команда финансового отдела. Условия: — Удалёнка — Гибрид или офис в Москве — 5/2 — Оформление по ТК РФ

Задачи: — Разработка uplift-моделей для оценки инкрементального эффекта коммуникаций и офферов на поведение клиентов. — Построение моделей склонности и ценности оффера для клиента. — Ранжирование офферов на уровне «клиент × оффер». — Решение задач линейного и целочисленного программирования для распределения офферов с учётом бюджета, контактной политики и бизнес-ограничений. — Построение пайплайнов подготовки данных и признаков, регулярный пересчёт скоров и автоматизация запуска кампаний. — Мониторинг качества моделей и сопровождение end-to-end контура. — Дизайн и оценка экспериментов с контрольными группами. — Подготовка отчётности по инкрементальному эффекту кампаний. — Разработка продуктовой и ad-hoc аналитики. — Участие в развёртывании и сопровождении ML-сервисов, а также в построении CI/CD-инфраструктуры. Требования: — От 3 лет опыта работы аналитиком данных. — SQL, Greenplum/PostgreSQL. — Python. — A/B-тесты и дизайн экспериментов с контрольными группами. — Оценка инкрементального эффекта кампаний. — Построение аналитических моделей, включая модели склонности, ценности оффера и uplift-модели. — BI-инструменты. — Умение работать в кросс-функциональной продуктовой команде. Будет плюсом: — Опыт в ритейле, CRM или CVM. — Опыт решения оптимизационных задач линейного и целочисленного программирования. — Опыт построения end-to-end пайплайнов, автоматизации кампаний и мониторинга качества моделей. — Опыт работы с CI/CD и сопровождения ML-сервисов.

Обязательные требования: — Опыт участия во внедрении систем планирования спроса или автоматизации процессов прогнозирования. — Понимание процесса demand planning: исторические продажи, очистка данных, статистический прогноз, экспертные корректировки, сценарии и оценка точности. — Опыт разработки или настройки решений на low-code платформе: от модели данных и логики расчётов до пользовательских экранов и тестирования. — Уверенное понимание реляционной модели данных и SQL: соединения таблиц, фильтрация, агрегация, проверка и преобразование данных. — Понимание того, как Python-компоненты получают данные из платформы, обрабатывают их и возвращают результат; способность разбирать конфигурацию и диагностировать ошибки на стыке компонентов. — Навыки взаимодействия с заказчиком и разработки понятной документации. Дополнительные требования: — Опыт работы с In.Plan Demand Planning или другой платформой IBP/S&OP. — Практический опыт работы с Python, датафреймами и параметрической настройкой алгоритмов. — Знакомство с моделью данных «звезда» по Кимбаллу, Airflow и BI-инструментами, например Superset. Задачи на проекте: — Собирать и уточнять требования планировщиков спроса, продаж и смежных команд; описывать целевой процесс, сценарии работы и функциональные требования. — Проектировать и настраивать модель данных: таблицы, наборы данных, справочники, иерархии, связи, показатели и уровни планирования; готовить настройки чтения, записи и преобразования данных. — Разрабатывать решение средствами low-code платформы: ракурсы планирования, экраны, предупреждения, права доступа и пользовательские сценарии. — Настраивать параметры очистки истории, сегментации и алгоритмов прогнозирования спроса с использованием библиотеки модулей In.Plan Demand; проверять качество исходных данных и результатов расчёта. — Прорабатывать сценарии ручной корректировки, обогащения и согласования прогноза, включая формирование итогового плана спроса. — Разбирать и проверять SQL-запросы и преобразования данных, понимать передачу данных между платформой и Python-алгоритмами; формулировать задачи на доработку там, где платформенных средств недостаточно. — Готовить инструкции и обучающие материалы, проводить обучение пользователей и сопровождать запуск решения в эксплуатацию. Этапы отбора: 1. Внутренний квалификационный. 2. Интервью с клиентом с техническими вопросами. Описание проекта и команды: Специалист разрабатывает решение для планирования спроса на low-code платформе In.Plan по бизнес-требованиям заказчика. Проектирует и настраивает модель данных, логику обработки и интерфейсы, связывает платформенные настройки с алгоритмами на Python и проверяет результат вместе с пользователями.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them . You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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

Join a project building enterprise integrations and automating insurance and customer service workflows.

Задачи: — null Требования: — 4–5+ лет в роли аналитика данных — Опыт именно в Pharma обязателен — Уверенная работа с большими данными — Продвинутый SQL и Excel, опыт с ClickHouse или другими колоночными СУБД — Умение писать SQL самостоятельно, без генерации нейросетями — Гражданство РФ и фактическое нахождение в России Условия: — удалённая работа (remote)