Вакансии

Задачи: — собирать требования, работать напрямую с функциональными заказчиками, пользователями и рабочими группами — разбирать процессы, восстанавливать текущее состояние (as-is) и проектировать будущее (to-be) — управлять требованиями, вести реестр, валидировать и отвечать за их качество — документировать процессы, создавать ТЗ, ЧТЗ, пояснительные записки — выполнять реверс-инжиниринг, разбираться в работе существующих подсистем — проектировать аналитическую отчётность, ставить задачи на отчёты и дашборды в BI — сопровождать жизненный цикл: проводить демонстрации, отвечать на замечания, участвовать в приёмке этапов Требования: — 3+ года опыта работы аналитиком в IT с прямым взаимодействием с заказчиком — реальный опыт исследований процессов, демонстраций, протоколов решений, разрешения конфликтов требований — терпимость к формальной среде: умение работать с длинными согласованиями, протоколами и шаблонными документами — понимание и применение BPMN, UML (Use Case, Activity, Sequence), PlantUML/Mermaid — навыки работы с SQL на уровне чтения и простых запросов — понимание принципов аналитической отчётности: показатели, разрезы, источники данных Условия: — рыночную зарплату и премии — драйвовые задачи и ресурсы для их реализации — гибридный режим работы: можно работать удаленно или в современном офисе в центре (ст.м. Курская) — преимущества аккредитованной it-компании — материальную помощь в случае важных событий в жизни — корпоративное обучение у топовых провайдеров и доступ к онлайн-библиотеке — корпоративные тренировки и спортивные активности - бег, футбол, волейбол, баскетбол, теннис и другие — комьюнити по интересам — скидки от партнеров на дмс, связь, развлечения, подарки, спорт и т.д.

Задачи: — Формировать статистическую отчетность — Выполнять задачи по сбору данных от руководителя или смежных отделов — Заниматься созданием новой и доработкой действующей отчетности — Презентовать результаты — Автоматизировать действующие процессы в формировании отчетности Требования: — Опыт на аналогичной должности от 1 года — Готовность и умение работать с большими объёмами данных — Опыт с работы Microsoft Office: Word, Power Point, Excel (Сложные формулы, Сводные таблицы, Power Query, Power Pivot) — Навыки написания аналитических записок и подготовки презентаций — Опыт обучения персонала - будет плюсом — Опыт оптимизации и автоматизации процессов - приветствуется Условия: — Работа в динамично развивающейся организации Правительства Москвы — Комфортабельный офис в шаговой доступности от станции метро Фили — Офисный формат работы (с 09:00 до 18:00) — Значимая роль в команде экспертов, в которой коллеги всегда поддерживают друг друга — Корпоративное обучение

Задачи: — Разрабатывать и поддерживать программные решения на платформе 1С; — Разрабатывать механизмы интеграции между системами и сервисами (1С и не только); — Покрывать решения автоматизированными тестами (Vanessa-Automation, Gherkin, xUnitFor1C, Vanessa-ADD); — Участвовать в разработке и внедрении CI/CD-процессов; — Сборка релизов и автоматизация процессов развертывания продуктов и сервисов на стендах DEV, UAT, PROD; — Участвовать в настройке мониторинга систем/сервисов; — Выявление причин сбоев и устранение ошибок в работе бизнес-приложений. Требования: — 1С:8.3+ (платформа, кластер, язык), Python, Sonarqube; — MS SQL и/или PostgreSQL; — Apache Airflow, Apache Kafka; — Jenkins; — Docker и/или Kubernetes и/или OpenShift; — Grafana, Prometheus; — Redis, Nginx, ElasticSearch, Logstash, Kibana; — Git, GitLab, другая система контроля версий. Условия: — Гибридный формат работы; — Конкурентная заработная плата; — Профессиональное обучение и развитие; — Добровольное медицинское страхование сотрудника и несовершеннолетних членов семьи, страхование жизни и здоровья.

Задачи: — Анализировать рынок, конкурентов, тренды и новые продукты — Строить продуктовую матрицу и продуктовые линейки — Сегментировать клиентов и определять целевые группы — Готовить аналитические отчеты для руководства — Участвовать в разработке стратегии продуктового портфеля — Взаимодействовать с отделами продаж, закупок и разработки Требования: — Опыт в маркетинге, продуктовой аналитике или стратегическом маркетинге от 3 лет — Опыт анализа рынков, продуктов, конкурентов в B2B — Умение работать с данными, строить выводы и рекомендации — Навыки сегментации рынка и клиентов — Понимание B2B-маркетинга и циклов продаж — Уверенное владение Excel, PowerPoint, CRM — Аналитический склад ума, системное мышление — Самостоятельность, инициативность, проактивность Будет преимуществом: — Опыт в ветеринарии, фармации, медицине, биотехнологиях — Опыт работы с продуктовым портфелем и запуска новых продуктов — Знание Power BI или аналогичных инструментов — Понимание специфики ветеринарного рынка Условия: — Формат работы: офис — График: 5/2, полный день — Заработная плата: 120 000-140 000 — Официальное трудоустройство — Возможность влиять на продуктовую стратегию — Профессиональный рост и развитие

Задачи: — Участие в разработке новых и доработке существующих функциональных блоков Единой медицинской информационно-аналитической системы города Москвы; — Интервьюирование заинтересованных участников (как внутренних, так и внешних), сбор требований к разрабатываемому решению; — Разработка концепций, включающих в себя план мероприятий, необходимых для решения проблем предметной области; — Разработка спецификаций требований, включающих в себя описание выявленных проблем и решений, бизнес-правил и ограничений, целевых бизнес-процессов (ToBe), алгоритмов бизнес-функций и данных, которыми они оперируют; — Интерпретация требований, разъяснение требований командам разработки; — Проведение тестирования реализованной функциональности на соответствие требованиям; — Участие в опытно-промышленной эксплуатации аналитической системы. Требования: — Опыт работы в роли бизнес-аналитика от 3х лет; — Опыт моделирования процессов с использованием различных нотаций (BPMN и/или VAD/EPC и/или UML или другие нотации); — Опыт обследования бизнес-процессов, непосредственного взаимодействия с заказчиком; — Опыт управления требованиями (сбор и детализация функциональных требований, управление ими); — Опыт формирования проектных решений (в том числе описание концепции, вариантов использования, сценариев взаимодействия, прототипов интерфейсов, модели данных); — Навыки работы c Jira, Confluence. Условия: — Рыночную зарплату и премии; — График работы 5/2 с 9.00 – 18.00 (возможен гибридный формат работы); — Преимущества аккредитованной IT-компании; — Материальную помощь в случае важных событий в жизни; — Корпоративное обучение и доступ к онлайн-библиотеке; — Корпоративные тренировки и спортивные активности: бег, футбол, волейбол, баскетбол, теннис и другие; — Комьюнити по интересам; — Скидки от партнеров на ДМС, связь, развлечения, подарки, спорт и т.д.

Задачи: — сегментация клиентской базы, исследование зависимостей на большом объеме информации — формирование целевой аудитории кампании, подготовка целевых и контрольных групп для проведения А/В теста — подведение итогов и анализ эффективности проведенных пилотов — подготовка предложений и формулирование бизнес-гипотез на основании анализа клиентской базы и проведенных компаний. Требования: — высшее образование (физика, математика, экономика/финансы, ИТ) — опыт работы аналитиком данных / продуктовым аналитиком / лист менеджером в банковской сфере от 1-года лет — продвинутый уровень SQL, Python — уверенные знания математической статистики и принципов А/В-тестирования — знание банковских продуктов и процессов. Условия: — комфортный современный офис на Кутузовском, 32 — корпоративный спортзал и зоны отдыха — уникальная система обучения Сбера для профессионального и карьерного развития, семинары, тренинги, конференции — программа адаптации и помощь руководителя на старте — ДМС, страхование от несчастных случаев, социальные гарантии — 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 — корпоративные мероприятия.

Задачи: — Собирать и формализовывать требования участников процесса — Описывать текущий и целевой процесс оценки ценности данных — Прорабатывать сценарий от появления гипотезы до её проверки — Формализовывать критерии оценки и приоритизации гипотез — Определять бизнес- и продуктовые показатели совместно с продуктовыми командами — Описывать требования к взаимодействию информационных систем — Прорабатывать требования к поиску и подготовке данных — Участвовать в формировании требований к A/B-платформе — Готовить постановки для аналитических и технических команд — Участвовать в приёмке реализованной функциональности Требования: — Опыт работы бизнес- или системным аналитиком в проектах, связанных с данными или цифровыми продуктами — Опыт сбора, анализа и формализации требований — Умение описывать сложные сквозные процессы — Опыт взаимодействия с бизнесом, аналитиками и техническими командами — Понимание продуктовых показателей и принципов проверки гипотез — Умение структурировать задачи при неполных исходных требованиях Будет преимуществом: — Опыт работы с A/B-тестированием — Опыт проектов в области данных или AI — Опыт работы с аналитическими платформами — Понимание процессов подготовки данных для аналитики и моделей Условия: — Внутренние семинары, митапы — ДМС со стоматологией для сотрудников и скидка на покупку ДМС для ближайших членов семьи — Техника для комфортной работы — Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника

Задачи: — Сбор, анализ и формализация бизнес-требований к продуктам и сервисам, связанным с операциями с криптовалютными активами — Анализ, моделирование и оптимизация бизнес-процессов — Согласование бизнес-процессов и бизнес-требований с заинтересованными подразделениями Банка — Проектирование пользовательских сценариев, описание основных, альтернативных и негативных сценариев — Подготовка и актуализация проектной документации — Аналитическое сопровождение разработки и тестирования — Участие в приемке реализованного функционала — Ведение мини-проектов в части координации смежных подразделений и заказчиков Требования: — Опыт работы бизнес-аналитиком от 2 лет — Опыт участия в разработке цифровых продуктов в Agile-командах — Опыт работы в финтехе, банковской сфере или с криптовалютными продуктами — Опыт сбора, анализа и формализации бизнес-требований — Опыт моделирования бизнес-процессов (BPMN/UML) — Навыки проектирования пользовательских интерфейсов и создания wireframe-прототипов — Понимание принципов работы блокчейн-сетей, криптовалютных кошельков, CEX/DEX, мостов, свопов и цифровых активов — Навыки применения AI-инструментов в работе Условия: — Современный стек технологий, работа в гибкой методологии — Экспертная команда и возможности развития — Работа в гибридном формате м. Ленинский проспект — Техника для комфортной работы — Корпоративная культура со своими ценностями и традициями — Сообщества по интересам: Лига Спорта, Лига Кибер Спорта, Лига Творчества, Лига Интеллекта, возможность организовать свое сообщество и получить поддержку от компании

Location: New York, New York, United States About the Role iCapital is seeking a motivated and detail-oriented Associate Business Process Analyst, UiPath Developer to join our Intelligent Automation team. The ideal candidate will combine solid business analysis skills with hands-on UiPath development experience to identify, design, build, and deploy Robotic Process Automation (RPA) solutions that drive operational efficiency across the organization. Responsibilities Engage with business stakeholders to identify, document, and prioritize automation opportunities. Conduct process discovery workshops and prepare detailed Process Definition Documents (PDDs). Perform AS-IS and TO-BE process mapping; calculate ROI and feasibility for automation candidates. Translate complex business requirements into clear functional specifications for development. Design, develop, test, and deploy automated workflows using UiPath Studio (REFramework preferred). Build attended and unattended automation bots using UiPath Orchestrator for scheduling and monitoring. Integrate RPA solutions with enterprise systems including ERP, CRM, and legacy applications. Conduct unit testing, UAT support, and defect resolution throughout the development lifecycle. Maintain and enhance existing automations to address process changes or system upgrades. Maintain comprehensive technical documentation including Solution Design Documents (SDDs) and runbooks. Adhere to CoE standards, coding conventions, and change management procedures. Participate in code reviews and contribute to continuous improvement of development best practices. Qualifications Bachelor's degree in computer science, information systems, business administration, or related field 3+ years of hands-on experience in business process analysis or RPA development Proficiency in UiPath Studio, UiPath Orchestrator, and UiPath Assistant Experience developing automation using REFramework and exception-handling best practices Solid understanding of process analysis methodologies (BPMN, swimlane diagrams, value stream mapping) Familiar with at least one enterprise platform (SAP, Salesforce or ServiceNow) Working knowledge of SQL, Excel automation, and API and web service integrations. Strong analytical, problem-solving, and verbal and written communication skills UiPath Certified RPA Associate (UiAR) or UiPath Certified Advanced RPA Developer (UiARD) Experience with AI/ML capabilities in UiPath (Document Understanding, AI Fabric, Action Center) Exposure to process mining tools such as UiPath Process Mining or Celonis Agile and Scrum project experience, CBAP or PMI-PBA certification is a plus Problem solving and analytical thinking Communication and stakeholder management Attention to detail Team collaboration Adaptability and learning agility UiPath automation tools AWS cloud services Python, VB.NET/C#, API integrations SQL databases Git, Docker, JIRA, Confluence REST/SOAP services and Postman Microsoft Power Platform Process Mining (UiPath/Celonis) Benefits The base salary range for this role is $100,000 to $120,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: New York, New York, United States, Boston, Massachusetts, United States Company Overview ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. At ClearView, you will encounter an entrepreneurial environment, interact with a dynamic group of colleagues, present to clients in critical business situations, and develop a deep understanding of the life sciences and biopharmaceutical industry. You will be mentored directly by ClearView managers, who have a wealth of experience in life sciences consulting. In addition, you will be exposed to a wide variety of business issues including new product planning, pricing & market access, investor services, launch and product commercialization. The Investor pillar is dedicated to creating best practices and frameworks for buy-side and sell-side due diligence teams while advancing the firm's expertise in valuation strategies and deal-making within the healthcare sector.  The team has extensive experience conducting diligences with our clients to maximize research value and provide strategic insights. Role Overview You will interact with both clients and teams within ClearView to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will engage in a number of activities, including: Conduct complex problem-solving through a hypothesis-based approach Able to conduct a straightforward project or workstream with moderate oversight Create and utilize analytic tools (e.g., forecast models) to support key decision-making Communicate recommendations to clients to inform strategy and maximize value Qualifications The successful Life Sciences Senior Analyst - Investor Services candidate must have the following skills and experience: Undergraduate or Master’s degree in the life sciences, business, finance or equivalent field Demonstrated experience (18+ months) in consulting, investment banking or financial services industry through a combination of internships and full time positions Extensive experience with modeling with the use of Excel and slide deck creation Strong written and oral communication skills in English Enthusiasm for working collaboratively in a dynamic, team-based environment Demonstrated leadership abilities Highly analytical approach to solving complex problems Ability to work in a hybrid work model out of our New York or Boston office; new hires will be in office 100% during onboarding & training will then go to 80% in office through month nine (9) and then the schedule adjusts to a 50% in office expectation after that The salary range for this position is $110,000 - $115,000 annually.  Actual compensation will be determined based on experience, skills, qualifications, and location. In addition to the base salary, you will be eligible for an annual discretionary performance bonus, and a comprehensive benefits package. What We Value We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration. Equal Opportunity Employer ClearView Healthcare Partners ("CV") is an Equal Opportunity employer.  All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Location: United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview You lead the team that owns the analytical backbone of how the Operations Department understands its own performance. Sitting within the Strategic Operations & Analytics team, you manage a small team of analysts whose work is used every day by leaders across CX, Fraud, Payments, WFM, and VIP. You also remain directly involved in the work. This is a hands-on manager role, roughly an even split between leading the team and doing the work. You will write and optimize SQL, review your team's models and analyses, and own complex cross-functional initiatives end-to-end. You will set the bar for that work, develop the people doing it, and be accountable for what the team ships. You’ll work closely with the Sr. Manager of Strategic Operations, who provides strategic direction, executive alignment, and support navigating priorities and cross-functional dependencies. We are actively building toward an AI-first way of operating, and this team is central to it. The right person is technically sharp, relentlessly detail-oriented, and genuinely curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself and your team to a high bar. What You'll Do Leading the team Manage, coach, and develop a team of 2–3 analysts, including goal setting, regular feedback, performance management, and career development. Set and hold the technical and analytical bar for the team's output, through direct review of SQL, dbt models, dashboards, and analyses. Manage day-to-day prioritization across the team’s queue of Ops stakeholder requests, escalating broader tradeoffs and resourcing decisions to the Sr. Manager when needed. Analytical work and insights Personally lead complex, cross-functional analytical initiatives end-to-end from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation. Diagnose root causes in the data rather than symptoms, and translate the diagnosis into a concrete recommendation. Lead scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions - shaping how the question itself gets framed. Set standards and guide the team’s approach to Ops dashboards and reporting, ensuring leaders have clear visibility into performance through well-defined KPIs and documented assumptions. Present findings to operational stakeholders and senior leadership, and defend your methodology under scrutiny. Analytics foundations and automation Own the quality and reliability of the dbt models and analytical datasets maintained by the Ops Analytics team. Partner with central data teams as needed on upstream pipelines, data-platform needs, etc., representing Ops requirements and escalating reliability issues when needed. Help the team replace recurring manual data pulls with maintainable reporting, automation, and alerting. AI enablement Partner with the Sr. Manager and Strategic Operations leaders on the Ops analytics AI roadmap, bringing an analytics perspective to use-case prioritization, data readiness, and validation. Ensure the team provides the trusted data, metrics, and evaluation frameworks needed to support agent development. Track and report on the performance of deployed agents against agreed-upon Ops goals. Help establish where AI can be trusted in analytical workflows and where human review and judgment should remain in the loop. Required Qualifications 6+ years in analytics, business intelligence, data analytics, or strategic operations. 2+ years directly managing analysts as direct reports , including performance management, hiring, and career development. This is not a first-time manager role. Advanced, hands-on SQL. You write, QA, and optimize complex queries yourself today, and you review others' work at that level. This role includes a live, on-screen technical exercise. Working fluency in dbt: You can build and review models, make sound design decisions, and identify issues in your team’s work. Demonstrated experience owning complex, cross-functional projects end-to-end, from ambiguous ask to stakeholder-ready recommendation. Experience building and maintaining dashboards in Sigma, Tableau, or a comparable tool. Strong stakeholder management: you communicate complex problems clearly to senior leaders and propose alternative approaches when the data warrants it. High attention to detail - you and your team catch data quality issues before they surface in leadership reporting. Preferred Qualifications Experience supporting AI/ML workflows, agent builds, or automation initiatives. Python or a similar scripting language for data manipulation and automation. Familiarity with operational KPIs across customer support, fraud, payments, or workforce management. Experience in gaming, fintech, or sports. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ #LI-JM3 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $138,000 — $170,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Huntsville, AL 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. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: Join LGEAI and play a key role in shaping our procurement strategy as a Korean Bilingual Procurement Data Analyst II. In this role, you’ll manage critical tasks within the General Procurement Process, ensuring efficiency, accuracy, and value across all purchasing activities. You’ll be responsible for analyzing procurement data, ensuring stability of SVC parts pipeline and proposing innovative approaches that can transform current ways of working. The role requires close collaboration with global vendors and prospective suppliers across multiple countries, monitoring market trends and global issue that impact operations, and supporting forecasting and cost analysis to enable data-driven decision-making. Strong cross-functional collaboration will be essential to align product delivery, pricing, and quality expectations, helping to achieve company goals. The ideal candidate is a proactive, detail-oriented professional with strong analytical, organizational, and communication skills, and a passion for innovation and continuous improvement in procurement operations Full fluency in Korean is required for this position. Sponsorship is not available for this position. Responsibilities: Vendor and market research Conduct market research to support sourcing and procurement strategies Track cost savings initiatives and process-innovation goals Understand internal stakeholders’ needs and provide procurement solutions Coordinate with various internal groups to align expectations. Risk Management Analyze global economic, geopolitical, and supply chain environments to assess present and future risks and minimize them Performing metrics analysis and reporting Weekly, monthly and yearly reporting on a variety of metrics and/or projects. Areas include process innovation and cost saving on savings, status of procurement requests and issues. Interdepartmental support Working with various groups within the company (Accounting, Quality and Engineering, Customer Service, Field Support, Tech Support, etc.) and provide informative and correct analysis of commodity markets, technology, and trends upon request. Working with the Legal Team to create contracts with vendors that minimize risks. Education / Experience: Bachelor’s degree required; data-related or analytical fields strongly preferred 3 years of experience in purchasing, procurement, project management preferred Proficiency in MS Office, especially Excel (advanced level) and Power Point Proven hands-on experience with data analysis tools, including Python, SQL, and/or equivalent data analytics platforms, with a demonstrated ability to automate reporting, analyze large datasets, and drive data-based proposal Excellent written, verbal and interpersonal communication skills Able to work successfully in a fast-paced, and rapidly changing, environment Ability to travel up to 10% if required Experience with or strong interest in applying generative AI tools (ChatGPT, Claude, Gemini) to accelerate workflow automation Foundational understanding of statistical and machine learning concepts applied to business problems such as demand forecasting or cost analysis - broad exposure valued over deep specialization Working familiarity with data visualization tools (Tableau) to build dashboards and communicate insights Korean-English bilingual proficiency required (verbal and written) #LI-TF1 Recruiting Range $73,000 — $78,000 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: — Глубокая аналитика продаж - работа с большими массивами данных. — Выгрузка, обработка и анализ информации о продажах. — Ведение текущей отчетности. Требования: — Опыт работы аналитиком. — Высшее образование. — Готовность работать с большим объемом информации (от 500 тыс. строк). — Уверенный пользователь MS Excel.

Задачи: — Описание текущих процессов AS-IS и целевых процессов TO-BE — Анализ существующих модулей кредитного процесса: взаимодействия, участников, частоты и форматов обмена данными — Проработка целевых сценариев: маршрутизация, маппинг и обработка данных, обработка ошибок, унификация модулей и процессов — Формирование road map изменений и задач по процессам — Совместная с ИТ оценка задач и согласование изменений со всеми заинтересованными участниками — Участие в архитектурной миграции на Единый мидл — Анализ интеграций и взаимодействий между системами, в том числе API — Разработка и согласование нормативной и регламентной документации — Подготовка пользовательских инструкций и материалов по изменениям — Проведение тестирования нового функционала совместно с пользователями и клиентами — Анализ внешних источников, конкурентов и технологий Требования: — Опыт в сфере кредитования или создания кредитных продуктов и процессов — Практический опыт описания и оптимизации бизнес-процессов — Опыт внедрения изменений процессов в банках — Опыт работы с архитектурными решениями, миграциями систем/данных и интеграциями по API — Опыт работы в Agile-командах — Навыки моделирования процессов с использованием BPMN, SIPOC, IDEF0 — Опыт анализа рынка, конкурентов и технологий, подготовки аналитических материалов — Опыт разработки и согласования внутренних регламентов и нормативной документации — Умение готовить презентации, схемы, аналитические и сводные таблицы — Уверенное владение Word, Excel, PowerPoint, Visio Условия: — Гибридный формат работы: 2–3 дня в офисе — Оформление по ТК РФ или ИП — Техника предоставляется — ДМС со стоматологией — Компенсация фитнеса — Скидки на обучение, кино, Skyeng — Индексация зарплаты

Задачи: — Разработка и развитие фирменного визуального стиля аналитических материалов по AI, технологиям и рынкам — Создание единой дизайн-системы и библиотеки шаблонов для аналитических отчетов, презентаций, дайджестов и других материалов команды — Дизайн аналитических отчетов и презентаций для топ-менеджмента и внешней аудитории — Визуализация сложной аналитической информации: графики, диаграммы, матрицы, инфографика, схемы и карты трендов — Разработка визуальных концепций для ключевых исследований и специальных аналитических проектов — Совместная работа с аналитиками над структурой материалов: перевод сложных данных и выводов в понятную визуальную историю — Контроль визуальной целостности и качества выпускаемых командой аналитических материалов — Подготовка материалов к публикации и печати, взаимодействие с подрядчиками при необходимости — Развитие подходов и инструментов дизайн-производства, в том числе с использованием AI-инструментов для дизайна и визуализации — Поддержка и развитие созданной дизайн-системы по мере появления новых форматов аналитики Требования: — Опыт работы дизайнером от 3 лет, желательно в консалтинге, технологических компаниях, исследовательских центрах, медиа или аналитических командах — Сильное портфолио в области информационного дизайна, презентаций, аналитических отчетов и визуализации данных — Умение превращать сложную информацию и большие объемы данных в простую, понятную и визуально убедительную коммуникацию — Опыт разработки визуальных концепций, дизайн-систем, шаблонов и гайдлайнов — Уверенное владение Figma и PowerPoint, желательно Adobe Illustrator / Photoshop / InDesign — Сильные навыки работы с графиками, диаграммами, схемами и инфографикой — Понимание принципов типографики, композиции, сеток и editorial-дизайна — Способность самостоятельно работать с задачей от визуальной концепции до финального макета — Внимание к деталям и высокий уровень визуальной культуры — Умение работать в тесной связке с аналитиками и быстро погружаться в сложную технологическую тематику — Опыт использования генеративного AI и современных AI-инструментов для дизайна будет преимуществом — Английский язык на уровне, достаточном для работы с международными визуальными референсами и материалами Условия: — Бюджет: по договоренности

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Most subscription businesses lose a password. We lose GPU-seconds. When someone runs two hundred accounts off one card to harvest a per-account promotional grant, the cost lands on our compute bill the same hour, and it does not stop until somebody finds them. We have found operators doing exactly that — hundreds of accounts, synchronised signups, machine- generated emails, round-the-clock automation — and we have also found that most of our worst- margin accounts are not abusers at all, just heavy users on an unlimited plan. Telling those two apart, account by account, with evidence that survives being challenged, is this job. You are the person who finds them, proves it, and puts a number on it. You make sure: - Every enforcement action we take is backed by evidence a stranger could follow - We know what abuse cost us last month, on the same basis as last month - The detection system is measured against real cases, not against its own past decisions - When a ring changes shape, somebody notices this week — and that somebody is you WHAT YOU WILL DO Investigation & casework - Run ring investigations end to end: from a flagged account or a cost anomaly to a named cluster, its members, its signature, its lifetime economics and a recommended action. - Build the linkage yourself — shared payment instruments, IP and ASN concentration, email-stem families, registration bursts, behavioural and automation fingerprints — and know which links are evidence and which are coincidence. - Separate abuse from unprofitable-but-legitimate every single time. On an unlimited plan, negative gross margin is normal. Cost is a gate, never a trigger. - Triage the review queue the detection system produces, and feed what you learn back into it. Your adjudications are the only unbiased labels the scientist has. Evidence & defensibility - Produce evidence packages that hold up outside the company — to an external auditor, to a payment network, to a customer disputing a ban, to Legal enforcing our Terms. Our abuse work has already been used in all four contexts. - Write per-account, not per-ring, when the action is per-account. A ban list without a reason column is not evidence. - Know what our Terms of Use actually entitle us to do, and flag when the evidence supports the finding but not the action. Quantification & reporting - Own the abuse loss number: what it cost, on what basis, net of the revenue we reversed and the legitimate customers we caught by mistake. Same definition every month, written down. - Distinguish COGS burned, revenue at risk, revenue reversed and cash refunded — they are four different numbers and people will conflate them. - Build the recurring reporting that tells us whether the problem is growing, and the ad-hoc answer to "why did compute spike last Tuesday" that is due the same day. Monitoring & adaptation - Watch the detectors themselves. A rule that stops firing is a detection event, not a quiet week. - Check the instrument before explaining the movement: a missing upstream table, a silently dropped join, a vendor signal that went away. This has bitten us and it will again. - Spot new abuse patterns before they are in anybody's model — usually in a cost anomaly, a strange cohort, or a support ticket that does not fit. How we work - SQL and Python on raw payment, usage and identity data in BigQuery, without anyone preparing it for you. We use AI heavily — resourcefulness beats syntax. - Close partnership with the Antifraud data scientist (you validate what they build), Payments (chargebacks and processor signals), Support (the humans who meet your false positives) and Finance (the loss number goes in the accounts). WHO WE'RE LOOKING FOR - 2+ years doing investigative or risk analytics — fraud, abuse, trust and safety, AML, chargebacks, gaming or marketplace integrity. What matters is that you have chased real bad actors, not modelled them in the abstract. - Strong SQL, without help. Self-joins, window functions, cohort replay, and joining payments to usage to identity across messy keys. This is the single most-used skill in the role. - Python at working level for analysis — pandas, notebooks, a bit of graph work. - Investigative instinct: you follow the thread, you notice the thing that does not fit, and you can say when a pattern is a coincidence. - Evidentiary discipline: you can write up a finding so that somebody who distrusts you can check it, and you know the difference between "this looks like abuse" and "this is provable." - Unit-economics literacy: gross margin per account, what compute costs, and why a negative-margin customer may be entirely legitimate. - The judgment to escalate rather than act when the evidence is thin, and to say so in writing. - Clear written and spoken English, B2+. Backgrounds that often do well: - Fraud / risk analysts from fintech, payments, marketplaces, gaming, crypto or betting - Trust & safety investigators and platform-integrity analysts - Chargeback, dispute or AML analysts who write their own queries - Strong product or BI analysts who got handed the abuse problem and kept it WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to build models full time — that is the Antifraud data scientist, and it is open - Want to do content moderation or NSFW classification - Would put an account on a ban list without being able to say why in one sentence - Treat every negative-margin account as an abuser - Need a labelled dataset or a clean table before you can start - Are uncomfortable that your work gets real people's accounts restricted, sometimes wrongly - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1,5 hour) - Tech interview (1,5 hour) - Final interview (30 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD We sell subscriptions and credit packs to consumers in over a hundred countries, and today almost all of it moves as cross-border card payments in USD. That has three consequences, and this role owns all three. We are declined more than we should be. In some of our largest growth markets roughly one attempt in three fails, and a meaningful share of those are not "no money" — they are cross-border blocks, card limits, stale credentials on renewal, and issuers who do not recognise us. We pay more than we should. Our blended cost of acceptance is the single largest line below compute, and the majority of the network component sits on transactions our processor classes as cross-border. We are not on the rails our customers use. In two of our fastest-growing markets, the dominant local payment method is one we do not offer at all. You own the measurement and the argument behind fixing all of it. You make sure: - We know our true authorization rate — at the unit the business actually cares about, not the one that is easy to compute - Every basis point of payment cost has a name, a geography and an owner - A decline is a diagnosis, not a statistic - When we propose a new rail, a new entity or a new processor arrangement, the number underneath it holds up to Stripe's own analysis and to our board's WHAT YOU WILL DO Authorization & decline analysis - Own authorization rate end to end: by country, issuer, BIN, card brand and funding type, plan price point, first payment vs renewal, and payment method. - Build and maintain the decline taxonomy — what each decline code actually means, which are recoverable, which are terminal, and which are us rather than them. - Measure at the right unit. An invoice that succeeds on the third retry is a success, not two failures and a success, and reporting it the other way has made teams optimise the wrong thing. - Separate soft declines we can recover from hard declines we cannot, and put a number on the recoverable pool. Cost of acceptance - Own the blended take rate and its decomposition: interchange, scheme fees, processor markup, cross-border and currency-conversion components, disputes, and the fixed per-transaction pieces. - Find where the cost actually sits. Averages hide it — the cost is concentrated by corridor, by card type and by whether the transaction is domestic. - Build the evidence for commercial conversations with our processor, and keep it current enough to reuse. Local payment methods, entities and routing - Size the case for new rails market by market: what share of local commerce runs on them, what our current card performance costs us, and what we would realistically recover. - Model merchant-of-record and local-acquiring arrangements against the alternative of our own entities, honestly — including the fee we would pay for the privilege. - Design and read the experiments that prove it, with the product analytics team. A new payment method is an A/B test, not a launch. Renewals, dunning and involuntary churn - Own the retry and dunning strategy as a measurable system: when to retry, how often, through which rail, and when to stop. - Quantify involuntary churn separately from voluntary. They look identical in a cancellation count and they need completely different fixes. - Track the health of stored credentials — network tokens, card-account-updater coverage, expiring cards — because in a subscription business that is silent revenue leakage. Disputes, refunds and reconciliation - Own dispute and chargeback rates against network thresholds, with the lag handled properly — disputes arrive weeks after the charge and a same-period denominator understates you. - Reconcile processor data to the revenue ledger and explain the differences rather than plugging them. - Work with the antifraud team where disputes are abuse rather than genuine dissatisfaction. HOW WE WORK - SQL and Python on raw processor and billing data in BigQuery. We use AI heavily — resourcefulness beats syntax. - Partner with Finance (the numbers get booked), Product (checkout and paywall), Engineering (the billing integration) and our processor's team directly. WHO WE'RE LOOKING FOR - 2+ years in payments analytics, payment operations, billing, or risk at a merchant, PSP, acquirer, or fintech. This is a domain role — general analytics experience without payments does not transfer quickly enough. - Fluency in the actual mechanics: authorization vs capture vs settlement, decline codes, 3DS and SCA, network tokens and account updater, interchange and scheme fees, chargeback lifecycle, MCC, BIN, cross-border and DCC. - Strong SQL, without help. Most of this job is joining sessions to intents to charges to invoices to refunds across imperfect keys and getting the denominator right. - Python at working level for analysis. - The instinct to check the unit of measurement before quoting a rate — per attempt, per invoice, per user, per session are four different numbers and only one of them answers the question. - Comfort with subscription billing specifically: renewals, proration, plan changes, failed payments, dunning, involuntary churn. - Commercial judgment: you can build the case for a rail or a rate and defend it against a vendor who does this for a living. - Clear written and spoken English, B2+. Backgrounds that often do well: - Payment operations or payments analytics at a consumer subscription, marketplace or gaming company - Analysts from PSPs, acquirers, orchestration platforms or card networks - Billing / revenue operations analysts who owned dunning and involuntary churn - Risk or chargeback analysts who moved toward the acceptance side WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to own checkout UX or pricing — that is Product Analyst, and it is open - Want to build fraud models — that is the Antifraud data scientist, and it is open - Would report an authorization rate without saying what the denominator was - Would take a processor's own analysis of their own performance at face value - Need someone else to prepare the data - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) THE DEAL - Competitive salary in USD - Equity: participation in the company's stock option program - On-site role in Almaty, Kazakhstan - Relocation support (flight + temporary housing) - Flat structure, high autonomy, fast career growth