Вакансии

Задачи: — Анализировать эффективность маркетинговых активностей и искать точки роста; — Разрабатывать и поддерживать систему аналитической отчетности; — Работать с маркетинговой командой над аналитическими инструментами; — Собирать, обрабатывать и анализировать большие объемы данных (Python, SQL). Требования: — От 3 лет опыта в маркетинговой аналитике; — Отличное знание Python и SQL; — Понимание статистики, A/B-тестирования и маркетинговых метрик (CPM, CPC, CPI, CPA, ROAS); — Знание принципов атрибуции мобильных и веб-приложений; — Сильное аналитическое мышление; — Опыт в fintech и знание Google Ads/Facebook Ads - плюс; — В первую очередь рассмотрим кандидатов, которые уже находятся на Кипре. Условия: — Работа в современном офисе в Лимасоле (15 минут от моря); — High-load продукт и сильную команду профессионалов; — Гибкое начало рабочего дня; — 22 рабочих дня отпуска; — Обеды, снеки, компенсацию спорта; — Курсы английского и греческого; — Корпоративные мероприятия, спорт и активное комьюнити.

Задачи: — Владение программой управления инцидентами конфиденциальности от начала до конца, включая рабочие процессы уведомлений, пути эскалации, документацию процессов, обучение ответственных и возможности автоматизации. — Руководство реагированием на инциденты конфиденциальности в роли DRI и Incident Commander, координация между отделами Privacy, Privacy Legal, CSIRT, Product, Engineering и Communications для анализа, устранения и последующих действий. — Поддержание готовности к вызову для поддержки триажа инцидентов конфиденциальности, классификации серьезности и срочных эскалаций, обеспечение правильной оценки и маршрутизации инцидентов. — Проведение ретроспектив по инцидентам конфиденциальности, отслеживание элементов устранения и пробелов в контроле, предоставление метрик и отчетности по тенденциям, статусу устранения и состоянию процессов. — Построение и поддержание прочных межфункциональных и межгеографических отношений с заинтересованными сторонами для улучшения готовности, качества реагирования и ответственности бизнеса. — Поддержка более широких инициатив Privacy в периоды низкой загрузки, включая межфункциональные усилия, разработку инструментов и проекты автоматизации. Требования: — Опыт работы 3+ года в области конфиденциальности, безопасности, реагирования на инциденты, технологических рисков или смежных операционных рисков, включая опыт руководства или поддержки рабочих процессов инцидентов, вопросов или рисков с необходимостью структурированного анализа, документации и межфункциональной координации. — Сильные навыки управления инцидентами с опытом коммуникации рисков конфиденциальности и результатов инцидентов как технической, так и нетехнической аудитории, включая подготовку письменных анализов инцидентов, документации ретроспектив и резюме для руководства. — Подтвержденный опыт проведения технических расследований в облачных архитектурах с практическими навыками в SQL, Python и инструментах анализа данных (Postgres, MongoDB, Airflow, Looker, Snowflake). — Опыт создания автоматизации для сокращения ручных операций и повышения эффективности реагирования на инциденты. — Знание нормативных актов и рамок конфиденциальности (GDPR, CCPA, PIPEDA, ePrivacy, DPIAs/PIAs, ROPA, права субъектов данных), контролей конфиденциальности и управления вопросами конфиденциальности. — Ответственное использование и создание генеративного ИИ с сохранением человеческого контроля для обеспечения готовых к бизнесу результатов и повышения эффективности рабочих процессов, снижения затрат и улучшения качества. Условия: — Полная занятость. — Удалённая работа с обязательными квартальными очными сессиями (surges). — Годовой базовый оклад от $135,320 до $159,200 USD, возможны акции, бонусы и социальные льготы (медицинская страховка, стоматология, зрение, 401(k)). — Кандидаты могут подать максимум 3 заявки за 6 месяцев. — Компания является работодателем с равными возможностями.

Задачи: — Решать вопросы по биллингу от начала до конца, включая технические проблемы. — Поддерживать точность записей в Stripe. — Обрабатывать очередь биллинга в Intercom: возвраты, вопросы по счетам, изменения планов и мест, отмены. — Диагностировать технические проблемы биллинга и взаимодействовать с поддержкой и инженерной командой. — Подготавливать, корректировать и отправлять счета, обрабатывать возвраты, кредиты и отмены. — Выявлять закономерности в биллинговых запросах и предлагать улучшения. — Использовать AI и автоматизацию для ускорения работы, при этом контролируя точность и конфиденциальность. — Проводить анализ и проекты для поддержания корректности биллинговых записей. Требования: — Опыт 3+ года в технической поддержке клиентов и биллинге (выставление счетов, платежи, возвраты, сборы). — Опыт работы в технологической или SaaS-компании. — Практический опыт работы с Stripe и/или бухгалтерским и биллинговым ПО (QuickBooks, Xero, Chargebee, Zuora, NetSuite). — Отличные навыки работы с числами, умение проверять расчёты. — Внимательность к деталям. — Знание AI-инструментов (ChatGPT, Claude, Gemini и др.) и умение контролировать их использование. — Свободное владение английским языком (письменно и устно). — Проживание на Филиппинах с надёжным домашним рабочим местом и графиком, пересекающимся с рабочими часами Северной Америки. — Готовность работать удалённо в быстро меняющейся среде. Желательно: — Опыт работы с Intercom, Zendesk или аналогичными платформами поддержки, а также Salesforce. — Знания в области бухгалтерии, финансов или ведения учёта. — Опыт работы с подписочными или моделью биллинга по использованию. — Навыки работы с продвинутыми функциями таблиц (поиск, сводные таблицы) или базовые знания SQL. Условия: — Удалённая работа из Филиппин. — Полная занятость. — Конкурентная компенсация и гибкий график отпусков. — Работа в международной команде с асинхронными процессами. — Культура, ценящая автономию, качество, инновации и устойчивый рост.

Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Bengaluru, India We are seeking an experienced SAP Procurement Solutions Analyst – S/4HANA & Ariba to support and enhance procurement technology solutions across SAP S/4HANA, SAP Ariba, and SAP Business Technology Platform (BTP) . The role will focus on enabling efficient and integrated Source-to-Pay / Procure-to-Pay (P2P) processes, supporting procurement operations, supplier lifecycle management, sourcing, purchasing, and related digital procurement capabilities. The successful candidate will work closely with business stakeholders, procurement teams, IT teams, suppliers, and technology partners to analyze business requirements, support solution design, troubleshoot system issues, and drive continuous improvements across SAP procurement platforms. The work location would be at Al Khobar, Saudi Arabia. Responsibilities Support and maintain procurement solutions across SAP S/4HANA, SAP Ariba, and SAP BTP . Analyze business requirements and translate procurement processes into effective SAP solutions. Support SAP MM / Materials Management processes, including purchasing, purchase orders, goods/services procurement, and related master data. Support end-to-end Procure-to-Pay (P2P) processes and ensure effective integration between procurement systems. Provide functional support for SAP Ariba modules and capabilities, including: Ariba Sourcing Ariba Supplier Lifecycle and Performance (SLP) Guided Buying Supplier onboarding Supplier relationship management Procurement and sourcing processes Support supplier lifecycle management , including supplier onboarding, qualification, maintenance, and integration with enterprise systems. Support service procurement processes, including Service Entry Sheets and related purchasing activities. Support procurement processes within SAP S/4HANA and ECC , ensuring alignment with business and operational requirements. Analyze and resolve system issues, incidents, and process-related challenges across SAP procurement platforms. Support integrations between SAP Ariba, SAP S/4HANA, SAP BTP , and other enterprise applications. Work with technical teams to investigate integration issues, data flows, interfaces, and system defects. Participate in solution design, configuration, testing, deployment, and post-implementation support. Prepare and maintain functional specifications, process documentation, test scenarios, and user documentation. Support User Acceptance Testing (UAT) and coordinate with business users to validate solutions. Identify opportunities to improve procurement processes through automation, system enhancements, and digital procurement capabilities. Collaborate with procurement, finance, supply chain, IT, and other business stakeholders to ensure solutions meet operational requirements. Support system upgrades, enhancements, releases, and continuous improvement initiatives. Monitor procurement system performance and ensure timely resolution of business-critical issues. Requirements Bachelor's degree in Information Technology, Computer Science, Software Engineering, Management Information Systems , or a related discipline. 5–7 years of relevant experience in SAP procurement solutions, SAP functional consulting, business systems analysis, or a related field. Strong experience with SAP S/4HANA Procurement and SAP MM . Hands-on experience with SAP Ariba and its procurement and sourcing capabilities. Good understanding of Source-to-Pay (S2P) / Procure-to-Pay (P2P) business processes. Experience with Ariba Sourcing, Ariba Supplier Lifecycle and Performance (SLP), Guided Buying, and supplier onboarding . Strong understanding of purchasing processes, including purchase orders, supplier management, material management, and service procurement . Experience with Service Entry Sheets and service procurement processes. Knowledge of SAP ECC Procurement and integration with S/4HANA environments. Understanding of SAP Ariba integrations with S/4HANA/ECC and other enterprise systems. Exposure to SAP Business Technology Platform (BTP) and its role in enterprise application integration and digital solutions. Strong analytical and problem-solving skills with the ability to translate business requirements into technology solutions. Good understanding of procurement and supplier management business processes. Strong stakeholder management and communication skills. Experience working with cross-functional business and IT teams. Ability to work in a fast-paced environment and manage multiple priorities. Preferred SAP certification in SAP S/4HANA Procurement, SAP MM, or SAP Ariba . Experience with SAP Ariba implementation, rollout, enhancement, or integration projects. Experience working in large-scale enterprise procurement environments. Knowledge of SAP integration technologies and APIs. Experience with process optimization, automation, and digital procurement transformation initiatives.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Hasbro is expanding its global digital capabilities with SAP Business Suite 4 SAP HANA (S/4HANA) as the foundation of our enterprise operations. We are seeking a Senior Materials & Logistics Functional Lead to own and advance our global S/4HANA Materials Management (MM), Inventory Management (IM), and Logistics Execution (LE) processes. This is a forward-looking role focused on building modern, scalable supply chain capabilities to support our growing Direct-to-Consumer and B2B operations worldwide. You will serve as the lead strategist and solution owner for procurement, inbound and outbound logistics, warehousing, and inventory processes. This role plays a key part in defining standards, shaping the roadmap, and ensuring that our S/4HANA capabilities drive operational excellence across Hasbro’s global supply chain. This role is critical to Hasbro’s global supply chain strategy and offers the opportunity to own next-generation S/4HANA MM/LE processes; lead digital transformation across procurement, warehousing, and logistics; strengthen operational excellence across global Direct-to-Consumer (D2C) and B2B channels; and ensure S/4HANA becomes a strategic driver of business value. You will play an essential role in modernizing how Hasbro manages materials, inventory, and logistics in a rapidly evolving digital supply chain ecosystem, collaborating with partners across Procurement, Logistics, Warehousing, Finance, and Sales to bring diverse expertise together. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Act as the global process owner for S/4HANA MM/IM/LE, promoting adoption of S/4HANA-native functionality. Define and maintain global process standards, documentation, and best practices across procurement, warehousing, logistics, and inventory management. Lead continuous improvement initiatives that enhance accuracy, scalability, and efficiency in supply chain operations, streamline material flows, improve warehouse efficiency, and optimize delivery and shipment processes. Support Hasbro’s global digital roadmap across Direct-to-Consumer and Business-to-Business channels. Translate business strategies into scalable, S/4HANA-native functional designs for procurement, warehouse operations, goods movement, and outbound logistics. Facilitate future-state design sessions that emphasize S/4HANA simplification concepts and best practices. Oversee configuration, enhancements, and testing activities across the MM/LE landscape. Develop and coordinate User Acceptance Testing, ensuring business alignment and readiness. Partner with Procurement, Logistics, Warehousing, Finance, Sales, and other functions to deliver integrated end-to-end supply chain processes. Guide external consultants, developers, and functional peers to ensure cohesive solution delivery across modules. Support integrations with Third-Party Logistics (3PL) providers, Transportation Management Systems, Freight Payment systems, and other partners using Intermediate Document (IDoc), Business Application Programming Interface (BAPI), Application Link Enabling (ALE), and SAP Integration Suite. Maintain functional documentation, SOPs, and training materials. Drive standardization of business processes and development practices across the Global Applications team. Lead initiatives that streamline material flows, improve warehouse efficiency, and optimize delivery and shipment processes. What You'll Bring 5+ years of SAP MM/IM/LE configuration and functional solution design experience. Strong understanding of procurement, materials management, inventory control, warehouse processes, and outbound logistics. Expertise across key S/4HANA MM/LE functions, including Purchase Requisitions, Purchase Orders, Stock Transport Orders, Release Strategies, Goods Issue/Receipt, Delivery & Shipment Processing, and Warehouse Management concepts. Familiarity with adjacent modules (Finance, Sales and Distribution (SD)) and end-to-end supply chain flows. Demonstrated ability to lead cross-functional teams and influence stakeholders. Bachelor’s degree preferred or equivalent experience. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $107,800 — $161,700 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Учиться Data Science у тех, кто ежедневно работает с данными В программе: SQL, Python, математика, теория вероятностей, машинное обучение, нейросети, рекомендательные системы и не только. Приятный бонус — возможность попасть на стажировку в Центр BigData МТС или другую команду. Школа подойдёт студентам и выпускникам технических вузов, junior и middle аналитикам данных и ИТ-специалистам, которые хотят прокачаться в Data Science. Обучение абсолютно бесплатное и будет занимать не менее 8-10 часов в неделю: совмещать с другой учёбой и работой можно, главное — уметь планировать свою нагрузку. Заявки принимаются с 1 по 25 октября. До 1 ноября нужно будет пройти входное тестирование.

Location: Europe Workplace: Remote ABOUT ENEBA At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT THE ROLE We’re looking for an Analytics Engineering Lead to set the direction for analytics engineering at Eneba and help the team deliver trusted, business-ready data. You’ll lead a team of around 10 analytics engineers. You’ll define what analytics engineering owns and where it is going, connect the team’s work to real business needs, and ensure curated data can be used directly by business teams, BI tools, and AI agents without an analyst in between. WHAT YOU’LL DO - Create and own the analytics engineering strategy, direction, and goals. - Lead, coach, and develop a team of around 10 analytics engineers through regular feedback, one-to-ones, performance management, review cycles, and hiring, helping them become increasingly autonomous. - Establish the analytics data-modeling architecture, engineering principles, quality standards, and ways of working that guide how the team builds and maintains models. - Ensure analytics engineering work begins with a clear understanding of the business problem and delivers data that people can use with confidence. - Enable reliable self-service analytics by making curated data usable by business teams, BI tools, and AI agents, with appropriate semantic layers, metrics, discoverability, and governance. - Evaluate the current analytics landscape and make pragmatic, evidence-based decisions about what should be improved, stopped, rebuilt, or delegated. - Partner directly with stakeholders across the company, including teams such as Accounting, Payments, and Marketing, as well as senior leaders. - Build a strong understanding of Eneba’s business and translate varied stakeholder needs into a clear direction for the team. - Identify and empower technical experts within the existing team to help define and implement engineering standards. - Evaluate analytics tooling and delegate technical discovery where appropriate, while retaining final ownership of analytics engineering architecture and tooling decisions. REQUIREMENTS - Proven experience leading and developing data, analytics, or analytics engineering and people-management in product-focused tech companies. - Experience defining strategy and setting direction for analytics engineering, data modeling, or a closely related function. - A track record of establishing data-modeling architecture, principles, or standards that guide how other engineers build and maintain models. - Strong business judgment: you focus on why data is needed and what problem it solves, not only how models are built. - Strong stakeholder management and communication skills, with proven experience partnering closely with product leadership and representing data in executive-level and cross-functional discussions. - Ability to form clear, evidence-based opinions, challenge existing approaches, and lead change under sustained pressure including recommending that work be stopped or rebuilt when needed. - Experience operating in a high-growth, fast-moving organization with low approval layers, where data supports many business functions. Scale-up experience is helpful. - Working knowledge of SQL and data modeling, hands-on experience with DBT, and familiarity with at least one BI or dashboarding tool. - Fluent English (business proficiency required) What it’s like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. - We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred. Please submit your resume in English - To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice   #LI-LK1

Задачи: — Проводить занятия по Data Analytics для групп — Индивидуальный менторинг учащихся — Практические занятия на основе проектов — Проверка домашних заданий и проектов, предоставление обратной связи — Подготовка учебных материалов и заданий — Создание портфолио и подготовка к интервью — Отслеживание прогресса учащихся Требования — глубокие знания и опыт: — SQL: SELECT, JOIN, агрегация данных, создание и изменение таблиц; — Опыт работы с PostgreSQL, MySQL или SQLite; — Язык программирования Python: - Очистка и анализ данных с помощью Pandas; - Визуализация с Matplotlib и Seaborn; - Статистический анализ с SciPy; — Работа в Excel: - Анализ данных с помощью сводных таблиц (Pivot Tables); - Использование простых формул и функции VLOOKUP; — Статистический анализ: - Проведение A/B тестов и проверка гипотез; - Определение взаимосвязей в данных; — Визуализация: - Создание дашбордов в Tableau или Power BI; — Git / GitHub: - Управление версиями (commit, branch, merge); - Размещение и совместное использование проектов на GitHub; — Языки: - Свободное владение узбекским и русским языками (обязательно); - Английский язык — преимущество; — Дополнительно: - Умение просто объяснять сложные темы; - Ответственность и интерес к работе с учащимися. Преимущества: — Основы машинного обучения — Сертификаты Google / IBM / Microsoft — Портфолио с реальными проектами Условия: — Зарплата от 7 000 000 до 20 000 000 сум (в зависимости от опыта и результатов) — Бонусы по результатам — Гибкий график работы — Современный учебный центр в Ташкенте — Возможности профессионального роста

Задачи: — Выполнять ежедневную работу по KYC/AML (онбординг, проверка источников средств, текущая проверка) — Мониторить транзакции и проверять оповещения на предмет подозрительных признаков — Проводить скрининг санкций, PEP и негативных новостей — Расследовать и эскалировать подозрительную активность, включая принятие решений по SAR/STR — Разрабатывать и улучшать процессы контроля качества и внутреннего контроля — Взаимодействовать с отделами Compliance, Operations и руководством Требования: — Опыт работы 2+ года в KYC/AML или мониторинге транзакций, желательно в криптоиндустрии, iGaming или FX — Глубокие знания CDD, скрининга санкций/PEP и процессов SAR/STR — Аналитический, внимательный и исследовательский склад ума — Высокая ответственность, проактивность и умение работать в условиях высокого объема задач — Сильные коммуникативные навыки и стремление к обучению — Свободное владение английским языком — Высшее образование в области финансов, бухгалтерии, бизнеса или смежных областях (релевантный опыт также учитывается)

Location: Almaty, Kazakhstan; Warszawa, Poland; Tbilisi, Georgia; Belgrade, Serbia; Yerevan, Armenia; Vilnius, Lithuania; Madrid, Spain; Lisboa, Portugal; Sofia, Bulgaria; Larnaca, Cyprus; Bucharest, Romania Workplace: fully We are looking for a Senior Analytics Engineer: 🗣 Language Proficiency: Intermediate 🧾 Employment type: Full time 🌍 Candidate Location: EU, Serbia, Georgia, Armenia, Kazakhstan 🕐 Working Time Zone: CET 🚀 Start: ASAP 🧭 Planned Work Duration: 6 months 👥 Customer Description: The customer is a global mobility and urban services platform offering transportation, delivery, and on-demand services. 🧩 Project Description: Data delivery and attribution pipeline migration to a core data warehouse platform. ⚙️ Project Phase: Ongoing 💡 Hard Skills / Must Have: • 3+ years of Analytics Engineering, DWH Engineering, or Data Analysis experience • Expert SQL and good Python knowledge for ETL and data processing • DWH architecture, ODS, data marts, incremental loads, history handling, and deduplication • BigQuery or similar columnar databases; data mart design and optimisation • dbt for large incremental projects and Airflow or similar orchestration tools • Pipeline migration, data parity validation, Git, Data Quality, and Data Governance • Ability to translate stakeholder needs into data requirements ✨ Hard Skills / Nice to Have: • Mobile or marketing attribution data, ad network cost data, SKAN/ATT, and ad fraud data • Google Cloud Platform, Cloud Storage, and Dataform • Lightdash, Looker, or Tableau 📌 Responsibilities and Tasks: • Clarify requirements and implement changes to attribution logic, sources, and data marts • Lead migration of dbt models, Airflow DAGs, and sources to the core DWH platform • Build and optimise incremental BigQuery data marts, including recalculations and backfills • Implement data quality checks and investigate discrepancies • Analyse external inputs and ensure reliable data delivery • Participate in testing, validation, releases, and technical documentation Technology Stack: SQL, Python, BigQuery, dbt, Airflow, Git, Data Warehousing, Data Modeling, ETL/ELT, Data Quality, Data Governance Interview stages : English check (15 minutes) internal technical interview (1-1,5 hour) client interview (1 hour) client interview – cultural fit (45 minutes) What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com 📩 Ready to Join? We look forward to receiving your application and welcoming you to our team!

Учиться Data Science у тех, кто ежедневно работает с данными В программе: SQL, Python, математика, теория вероятностей, машинное обучение, нейросети, рекомендательные системы и не только. Приятный бонус — возможность попасть на стажировку в Центр BigData МТС или другую команду. Школа подойдёт студентам и выпускникам технических вузов, junior и middle аналитикам данных и ИТ-специалистам, которые хотят прокачаться в Data Science. Обучение абсолютно бесплатное и будет занимать не менее 8-10 часов в неделю: совмещать с другой учёбой и работой можно, главное — уметь планировать свою нагрузку. Заявки принимаются с 1 по 25 октября. До 1 ноября нужно будет пройти входное тестирование.

About Sezzle: Sezzle is a fintech company focused on revolutionizing the shopping experience by blending technology with interest-free installment plans to empower consumers and increase merchant sales. About the role: We are seeking a detail-oriented and proactive AML Compliance Analyst to support Sezzle’s Compliance Team. This role provides second-line oversight and day-to-day advisory support across a wide range of business activities by translating regulatory requirements into practical guidance, executing operational compliance reviews, and producing governance-ready documentation and reporting. The role ensures adherence to regulatory requirements and supports the development of internal policies, standards, and procedures, fostering a culture of integrity and accountability. What You'll Do: — Provide compliance advisory support to business partners on consumer finance and payments requirements; document guidance, decisions, and follow-ups. — Support the intake, tracking, and completion of Compliance Operations, Advisory, and Financial Crimes Compliance work using defined workflows and evidence standards. — Perform second-line oversight reviews of complaint handling for higher-risk channels and contribute to complaint trend and root-cause analysis. — Support issues management governance by maintaining issue/action logs, validating remediation plans and evidence, and monitoring aging to closure. — Participate in change management oversight by reviewing initiatives for compliance impacts, control readiness, and required approvals/escalations. — Conduct pre-use compliance reviews of marketing and customer communications; identify required disclosures and risks and document results. — Assist with product development compliance assessments for new products and material initiatives; coordinate inputs, maintain risk/control documentation, and track conditions for launch. — Support third-party compliance activities for customer-facing vendors. — Support Financial Crimes Compliance operations including transaction monitoring, alert and case review, and disposition. — Assist with sanctions/OFAC screening and watchlist management. — Support Customer Identification Program (CIP) and Customer Due Diligence/Enhanced Due Diligence (CDD/EDD) activities. — Assist in preparation, documentation, and quality review of Suspicious Activity Report (SAR) narratives and supporting evidence. — Advise business, product, and operations partners on financial crimes requirements and control expectations. — Support responses to subpoenas and regulatory information requests. — Prepare clear written memos and governance-ready summaries for leadership and partner reporting. — Assist in gathering and delivering relevant information for regulatory reviews, examinations, audits, or other supervisory events. — Support additional compliance-related initiatives and projects as assigned. Required Qualifications: — Self-motivated, adaptable, capable of working independently or collaboratively. — Solid understanding of regulatory frameworks, laws, and compliance requirements applicable to consumer financial products and services, including financial crimes requirements (BSA/AML, USA PATRIOT Act, OFAC/sanctions). — Experience in compliance operations/advisory, risk management, quality assurance, or other control/oversight activities. — Strong written communication skills. — Strong project management and organizational skills. — Analytical thinker with sound judgment and proactive mindset. — Excellent interpersonal and communication skills. — High integrity and ethical judgment. — Working knowledge or ability to quickly learn Financial Crimes Compliance operations. — Comfort working with high-volume data and structured review workflows. Education & Experience: — BS/BA degree or higher in accounting, finance, business administration, legal studies, information systems, or related field. — Minimum 3 years professional experience in consumer finance, fintech, banking, or regulated environment preferred. — Financial industry compliance certifications (e.g., CAMS) a plus. — Experience supporting complaint management, issues management, change management, marketing review, product compliance assessments, financial crimes compliance, or third-party oversight highly desirable. About You: — High standards and commitment to quality. — Innovative and not bound by convention. — Action-oriented with a focus on speed and calculated risk-taking. — Earns trust through attentive listening and respectful communication. — Willing to challenge decisions respectfully and commit once decisions are made. — Delivers results with focus and resilience. What Makes Working at Sezzle Awesome: — Culture focused on excellence and innovation.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: San Francisco; New York City Workplace: Hybrid Perplexity is AI for people who expect more. On the data team, that means building the systems that make our data reliable, understandable, and usable by both humans and AI. We're looking for an analytics engineer or data engineer who wants to build the foundation for an AI-native data organization. You'll design core data models, pipelines, semantic layers, data quality systems, governance practices, and warehouse workflows that power the entire company: helping teams make strategic decisions, operate the business, and move faster with trusted data. You'll also make sure those systems are secure, privacy-aware, and legible to AI agents, data scientists, and the rest of the company. This role is for someone who can operate at the boundary of analytics engineering, data engineering, data governance, and internal product. You care about dimensional modeling, dbt standards, cost-aware warehouse design, access controls, privacy, and the details that make data trustworthy. You also believe AI should make the data stack faster, easier to maintain, and more accessible across the company without weakening security or governance. WHAT YOU'LL DO - Build the core data foundation - design and maintain high-quality data models, marts, and pipelines that make analysis fast, reliable, and reusable. - Manage the data warehouse - help own warehouse architecture, environments, permissions, performance, cost, data lifecycle, and operational hygiene so the platform scales cleanly. - Make the warehouse AI-readable - own the documentation, semantic context, metadata, lineage, and retrieval patterns that AI systems depend on to understand and query Perplexity's data correctly. - Own data modeling standards - define and champion dbt patterns, dimensional modeling practices, naming conventions, tests, and review processes. - Lead data governance practices - define standards for access, ownership, lineage, documentation, retention, quality, and sensitive data handling across the analytical warehouse. - Build with security and privacy in mind - partner with engineering, security, legal, and finance where needed to ensure data access, sharing, and AI-enabled workflows are appropriate and controlled. - Automate data quality and maintenance - build AI-assisted workflows that detect issues, explain root causes, suggest fixes, generate tests, and reduce manual firefighting. - Improve data team productivity - automate repetitive workflows, improve tooling, streamline development, and make it easier for data scientists and stakeholders to answer questions. - Partner across the company - work closely with data scientists, engineering, product, finance, and GTM teams to translate analytical needs into durable data systems. - Shape tooling decisions - evaluate build-versus-buy tradeoffs, manage vendor relationships when needed, and choose tools that scale with the team. WHAT WE'RE LOOKING FOR - 6+ years of experience as an analytics engineer, data engineer, data scientist, or closely related role. - Deep SQL expertise - you can reason about correctness, performance, joins, grain, and edge cases in complex warehouse queries. - Strong data modeling experience - you've worked hands-on with dbt (or a similar transformation framework) in production, and you understand dimensional modeling, data contracts, testing, and how analytical schemas should evolve. - Pipeline ownership - you've built, maintained, debugged, and improved production data pipelines. - Warehouse management experience - you've worked with warehouse administration, access patterns, permissions, performance tuning, cost management, or operational ownership. - Governance mindset - you think clearly about data ownership, access controls, privacy, retention, lineage, auditability, and the risks of making data too easy to access. - AI-native working style - you already use AI to speed up development, documentation, QA, exploration, and repetitive workflow automation. - Stakeholder fluency - you know how to turn messy analytical requirements into trusted models, metrics, and reusable data assets. - Autonomy and execution - you can take projects from ambiguous problem to production-quality system with minimal oversight. - Operational judgment - you care about reliability, governance, security, cost, and long-term maintainability. BONUS - Snowflake administration, optimization, cost management, or warehouse performance tuning. - Experience with RBAC, PII handling, data classification, retention policies, audit workflows, or privacy/security reviews. - Experience with Databricks or other modern data infrastructure. - Experience building semantic layers, metrics layers, metadata systems, or data catalogs. - Python experience for data tooling, automation, orchestration, or quality checks. - Previous experience as an early analytics engineer or data engineer at a high-growth startup. WHY THIS ROLE - Own the foundation - your work will determine how fast and confidently the company can use data. - Build for humans and AI - the next generation of data infrastructure needs to be understandable by agents as well as analysts. - High leverage - better models, pipelines, and tools multiply every data scientist and every stakeholder who depends on data. - Small team, broad scope - you'll have room to define standards, choose tools, and ship systems that become company-wide defaults.

Location: Austin, in-person About inKind inKind is transforming restaurant financing and customer engagement through an innovative fintech platform that provides restaurants with growth capital while helping consumers discover and enjoy dining experiences nationwide. As inKind continues to scale, our Finance organization is increasingly powered by technology, automation, and interconnected data. We’re looking for a Finance Systems & Automation Analyst who can help operate, troubleshoot, and improve the systems and workflows behind our accounting and financial processes. Position Summary This is not a traditional accounting role, and we are not looking for a software engineer. We are looking for a systems-oriented problem solver who is naturally good at understanding how things work, breaking complicated processes into logical steps, working with financial data, and figuring out what is happening when something doesn’t work as expected. You will sit at the intersection of Finance, Accounting, Data, and Technology , helping operate and improve the automated workflows that support our financial infrastructure. A significant portion of the role will involve working in NetSuite , alongside tools such as Google Sheets, SQL, internal data sources, integrations, and third-party platforms. You do not need to be an expert programmer. You do need to be comfortable looking at an unfamiliar process, dataset, formula, query, or piece of logic and methodically figuring out how it works. The ideal person has strong numerical intuition, exceptional attention to detail, and the curiosity to ask not only “Is this number correct?” but also “Where did this number come from, how did it get here, and how could we make this process better?” What You Will Do Finance & Accounting Operations Operate and maintain recurring accounting and finance workflows, including cash transaction categorization, journal entry preparation and uploads, reconciliations, and weekly/monthly reporting processes. Work extensively within NetSuite to support accounting operations, investigate issues, manage imports, and maintain accurate financial information. Manage the inputs and outputs of automated finance processes, including data validation, CSV preparation and uploads, exception handling, and transaction-level corrections. Adapt established processes to accommodate one-off transactions, new business scenarios, and evolving Finance requirements. Support weekly and monthly accounting close activities and maintain the automated workflows supporting those processes. Systems, Data & Automation Monitor automated financial data flows from source systems through accounting, forecasting, and reporting outputs. Ensure the continued availability, completeness, and accuracy of transaction history, balances, forecasts, and other financial information used across the organization. Build, maintain, and troubleshoot automated financial workflows across accounting systems, internal data sources, and third-party platforms. Investigate issues across Google Sheets logic, SQL queries, CSV imports, integrations, NetSuite, and other financial systems. Trace data through multiple systems to identify where errors or inconsistencies originate. Independently resolve routine systems and data issues while identifying the source, scope, and appropriate escalation path for more complex problems. Process Improvement & Problem Solving Break complex financial processes into clear, logical steps and identify opportunities to simplify or automate them. Understand existing formulas, queries, scripts, integrations, and workflows well enough to troubleshoot and improve them. Identify repetitive manual processes that could be standardized, automated, or eliminated. Support the implementation of new products, systems, and business processes as they interact with Accounting and Finance. Create ad-hoc reporting, tools, and analyses to answer new business questions. Partner across Finance, Accounting, Product, Engineering, Data, and other teams to translate business requirements into practical solutions. Document processes and workflows so that systems remain understandable, scalable, and maintainable as the company grows. What We Are Looking For Strong systems thinking — you naturally break problems into inputs, rules, dependencies, outputs, and exceptions. Strong numerical intuition and an ability to recognize when financial data does not make sense. Comfort working with large datasets and identifying patterns, anomalies, and inconsistencies. Ability to approach ambiguous problems with limited context and determine what questions need to be answered first. Strong attention to detail without losing sight of the broader process or business objective. Comfort learning unfamiliar systems, tools, formulas, and technical concepts independently. Ability to read and reason through existing formulas, queries, or code even if you would not consider yourself a developer. Ability to troubleshoot systematically rather than relying on trial and error. Strong communication skills and the ability to explain technical or financial processes in straightforward terms. Tools & Technical Experience Experience with some combination of the following is valuable: NetSuite or another ERP/accounting platform Advanced Google Sheets or Excel SQL and relational data Large structured datasets Financial reporting and reconciliation APIs, integrations, or third-party data connectors Automated workflows or low-code automation tools Financial or accounting data structures Deep expertise in every tool is not required . We care more about your ability to understand unfamiliar systems, reason through problems, and learn quickly than expertise in a particular programming language. Salary: $80,000 - $90,000 DOE + Benefits Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.

Location: Englewood Cliffs, NJ Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Responsibilities: Manage all aspects of Direct Shipment operations, including securing direct orders through the Reverse PO process, executing container diversions, issuing return authorizations, and responding to inbound inquiries Conduct Reverse PO simulations to develop containerized orders aligned with customer forecasts and business requirements Collaborate with customers and internal stakeholders to confirm and secure orders based on Reverse PO simulation results Monitor and track orders throughout the end-to-end process to ensure on-time and accurate delivery Enhance order visibility and operational performance by preparing and sharing reports on direct shipment rates and on-time delivery metrics Execute container diversions and manage return authorizations to support timely delivery and cost optimization Drive continuous improvement by partnering cross-functionally to identify and implement process and system enhancements Qualifications: Bachelor’s degree in supply chain management or relevant field 3+ years relevant experience Bilingual in English and Korean preferred Strong relationship builder Excellent data analysis skills Outstanding communications skills Solid business acumen #LI-DR1 Recruiting Range $75,000 — $85,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Задачи: — Участвовать в пресейлах по финансовому контуру — Участвовать в крупных проектах внедрения в составе проектной команды (от стадии анализа до запуска) — Разрабатывать архитектуру целостной учетной системы, декомпозировать до конечных требований, прорабатывать алгоритмы взаимодействия подсистем — Проводить аудит на стыке оперативного и финансового контура для выявления «сквозных дыр» — Защищать функциональные решения, а также трудозатраты перед Ключевыми бизнес-пользователями — Участвовать в разработке основных проектных концепций по проекту (стратегия миграции, концепция по НСИ, ролевая модель и так далее) — Контролировать соответствие архитектуры системы утвержденному техническому решению, организовывать сквозное тестирование и отработку инцидентов — Разрабатывать и контролировать полный комплект проектной и эксплуатационной документации (от концепции до передачи в эксплуатацию), писать сложные ТЗ Требования: — Успешный опыт участия в проектах внедрения 1С «под ключ» — Глубокое знание финансового, регламентированного учета и бюджетирования — Свободное владение методологией и архитектурой прикладных решений 1С:ERP, 1С:УХ, 1С:ERP УХ — Понимание принципов построения ландшафтов автоматизации, механизмов интеграции и потоков данных — Опыт написания сложных ТЗ, создания качественной проектной документации — Свободное владение методологиями сбора и анализа требований, а также моделирования бизнес-процессов (BPMN, IDEF0, Use Case и др.) Условия: — Возможны удаленный или гибридный формат работы — Полная или частичная занятость — Обсуждается по итогам собеседования и в зависимости от формата сотрудничества

Задачи: — Анализировать и повышать эффективность закупки рекламного трафика из in-app, social и web-источников: оценивать источники, каналы, кампании, аудитории и связки по ключевым закупочным метрикам, определяя зоны для масштабирования и оптимизации. — Проводить когортный и сегментный анализ, ad hoc-анализ закупки трафика. — Системно находить точки роста, формулировать, приоритизировать и тестировать growth-гипотезы на основе данных: от оптимизации закупки трафика, креативов и рекламных платформ до улучшения монетизации, удержания и окупаемости пользователей. — Анализировать и улучшать эффективность алгоритмов автоматизации закупки трафика: оценивать качество решений, искать причины просадок, формулировать требования к доработкам и адаптировать логику под новые источники, рекламные платформы и бизнес-цели. — Проводить предиктивную и инициативную аналитику, помогая заранее выявлять риски, просадки эффективности и новые возможности для роста. — Строить и поддерживать аналитические и функциональные dashboards. — Проверять точность ключевых отчетов, данных, трекинга и аналитических систем; работать с данными из рекламных платформ, BI, CRM, MMP, attribution tools и внутренних баз. — Координировать аналитические задачи в рамках своего направления: взаимодействовать с analytics team, следить за качеством аналитики и помогать переводить результаты анализа в бизнес-рекомендации. — Анализировать и улучшать продуктовые метрики собственных приложений, находя точки роста в удержании, монетизации, пользовательском поведении и общей эффективности продукта. Требования: — Опыт работы в data analytics от 7 лет. — Опыт в mobile app analytics и рекламной медиации для приложений с рекламной монетизацией: понимание работы mediation-платформ, ad networks, waterfall / bidding-логики, eCPM, fill rate, ARPDAU, impressions, ad revenue и влияния рекламной монетизации на продуктовые метрики. — 4+ года опыта с digital marketing, performance marketing, paid acquisition или growth marketing. — Глубокая экспертиза в ключевых закупочных и продуктовых метриках и их практическом применении: LTV, ROAS, ROI, CPA, CPC, CPM, CPI, CTR, CR, retention, ARPU и др. — Опыт проведения когортного анализа, ad hoc-анализа, оценки экспериментов и проверки гипотез. — Умение находить неочевидные инсайты в данных и превращать их в конкретные бизнес-рекомендации. — Опыт работы с MMP, attribution и tracking tools: Adjust, Voluum, Amplituda, MixPanel, Firebase или аналогичными платформами. — Опыт работы с SQL для проведения ad hoc-анализа, извлечения данных и моделирования. — Знание Python или R для аналитики, автоматизации и моделирования. — Понимание принципов маркетинговой атрибуции, tracking, conversion measurement и качества данных. — Навыки работы и построения отчетностей, dashboards в BI-инструментах (Looker). — Опыт работы с BigQuery и другими инструментами современного data stack: GitLab, Docker, Google Cloud (Container Registry, Workflows, Cloud Run). — Опыт работы с большими объемами данных и способность самостоятельно выстраивать аналитическую логику. — Сильные аналитические способности и системное мышление. — Внимание к деталям, высокий уровень самоорганизации и ответственность за результат. — Умение понятно доносить технические выводы до нетехнических команд. — Высшее образование в области математики, прикладной математики, статистики, data science, информационных технологий или смежных дисциплин. Условия: — Удаленный формат взаимодействия. — График: с 10:00 до 19:00 по времени Кипра. — 20 дней отпуска и оплачиваемые больничные. — Зарплата - по договоренности, в зависимости от Вашего уровня и опыта. — Работаем по праздничному календарю Кипра. — Испытательный срок - 3 месяца.