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Location: New York, New York About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! As a Business Analyst on the Data Science & Insights team you will translate complex data into clear, actionable insights that drive operational change and measurable client outcomes. You will work with leaders across DS&I and Client Strategy to identify KPIs and develop robust, scalable, and trustworthy reporting to both track historical metrics and inform resulting business strategy. You will support technical development across the Data Science & Insights portfolio, from writing SQL queries to developing reusable Python tools to creating Looker dashboards. You will help drive the evolution of scalable client analytics, from automated reporting and self-service QBRs to high-impact ROI storytelling, while acting as a trusted analytical advisor across Product, Client Services, Sales, and Data Science. The quality of your insights will directly influence product direction, client retention, and how the business evaluates and prioritizes opportunities. Key Responsibilities: Report Quality: Review data artifacts to ensure that data transformations are accurate and reporting correctly communicates the metrics in question. Scale Reporting Infrastructure: Build out tooling to scale and automate client reporting, while ensuring data is trustworthy. Support contribution to team's github code repositories with strong Python and SQL skills, with a willingness to learn additional tools like dbt Data Storytelling: Create high-impact visualizations and business cases that demonstrate the ROI of AI integration to our B2B clients. Stakeholder Synthesis: Translate complex model behaviors (e.g., propensity to close, intervention scoring) into actionable insights for claims adjusters and executive leadership through in depth analytics. Requirement Architecture: Collaborate with senior DS&I team members to define "Success Events" for new AI features, ensuring that technical builds align with the Behavioral North Star of the product. Required Qualifications: 5+ years as a Business Analyst or similar role, preferably within Disability Insurance, FinTech, or a SaaS company leveraging Machine Learning. Analytical Rigor: Proficiency in Python (Pandas, script development), SQL, and data visualization tools (Tableau, PowerBI, Looker) to perform independent "deep dives" into claim performance data. Strategic Communication: Proven ability to explain the "Why" behind an AI recommendation to non-technical users. Domain Expertise: Familiarity with claims management workflows, "duration compression" concepts, and the regulatory landscape of disability insurance is preferred Work-life, Culture & Perks: Compensation: The base salary range is $165-180K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Задачи: — Руководство направлением In Vitro discovery и процессного картирования, выступая связующим звеном между лабораторными учёными, экспертами и командой цифровой реализации. — Планирование и проведение воркшопов и интервью с учёными, экспертами лабораторий, IT-командами и поставщиками. — Анализ и документирование текущих (As-Is) и будущих (To-Be) рабочих процессов, включая планирование экспериментов, регистрацию, использование ELN, настройку анализов, управление запасами, регистрацию образцов и объектов, лабораторные автоматизации, визуализацию, омics, контроль качества и сбор научных данных. — Сбор, анализ и структурирование требований к данным, интеграции, управлению и нефункциональных требований. — Проведение анализа пробелов в возможностях и бизнес-эффекта. — Перевод сложных научных рабочих процессов в понятные процессы и системные требования для инженерных команд и поставщиков. — Создание чёткой, структурированной и готовой к управлению документации на протяжении всего проекта. Требования: — Опыт не менее 5 лет в бизнес-анализе или аналогичных аналитических ролях в области наук о жизни, биофармацевтики или лабораторной среды. — Соответствующее образование в области наук о жизни, химии, биологии или смежных научных дисциплин, а также практический опыт работы в лабораторных исследовательских командах или рядом с ними. — Практический опыт в процессном картировании As-Is / To-Be для сложных научных или лабораторных рабочих процессов. — Опыт сбора, анализа, документирования и отслеживания требований, способный создавать спецификации, которые могут использоваться командами разработки и поставщиками. — Понимание лабораторных рабочих процессов, включая ELN, анализы, автоматизацию, визуализацию и омics, достаточное для точного картирования без потери научного смысла. — Опыт проведения воркшопов с учёными, экспертами лабораторий, IT-командами и поставщиками. — Опыт анализа требований к данным, интеграции, управлению и нефункциональных требований. — Опыт проведения анализа пробелов в возможностях и бизнес-эффекта. — Способность создавать чёткую, структурированную документацию, подходящую для управления и принятия решений. — Готовность к командировкам в Великобританию при необходимости. Условия: — Конкурентоспособная компенсация. — Удалённая или офисная работа. — Гибкий график работы. — Команда с высоким уровнем технической экспертизы.

Location: Cyprus, Ypsonas, Greece Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 40 nationalities, making it an exciting and dynamic workplace. At FxPro , we see each team member as an integral part of our success story. As a System Analyst , you will play a key role in the development of FxPro’s core product. You will work closely with product managers, development teams, QA engineers, and other stakeholders to analyze business needs, design system behavior, describe integrations, and prepare clear development-ready specifications. You will be involved in both new functionality and improvements to existing services, including the analysis of legacy flows, system integrations, and production behavior. Project and technical context The product is based on a microservice architecture. The backend is mainly built with Node.js and integrates with multiple internal and external systems using REST, gRPC, and message brokers. The role requires strong analytical skills, technical understanding, and the ability to translate business needs into clear system requirements and development tasks. Responsibilities Analyze business needs and transform them into clear system requirements Design business logic for new and existing microservices Prepare development-ready artifacts: functional and non-functional requirements, specifications, process diagrams, use cases, user stories, and tickets Model system interactions and integrations using Sequence diagrams and C4 diagrams Design and document integration contracts between systems, including REST APIs, gRPC services, and message broker flows Collaborate with development, QA, product, and other cross-functional teams Analyze logs and investigate system behavior using tools such as Graylog and Kibana Perform reverse engineering of legacy functionality and document existing system behavior Support development teams during implementation and clarify requirements when needed Maintain comprehensive and structured technical documentation Requirements 3+ years of experience as a System Analyst Experience in integration analysis and understanding of client-server interaction principles Understanding of web services, APIs, REST, OpenAPI, gRPC, and message brokers Experience with UML, BPMN, ERD, Sequence diagrams, and C4 diagrams Understanding of databases and ability to read data structures and write basic to intermediate SQL queries Experience creating detailed system specifications, diagrams, flowcharts, and integration documentation Ability to analyze complex systems and describe business and system logic clearly Experience working with development teams and preparing tasks for implementation Excellent verbal and written communication skills Strong collaboration and teamwork abilities Attention to detail and ability to work with incomplete or legacy documentation Benefits Competitive compensation package Medical insurance Provident fund In-house gym with a personal trainer Free daily lunch catering, snacks, and beverages Company discount card for various products & services 21 days of annual leave and 10 days of sick leave annually Shuttle bus service from Limassol Birthday gift Relocation bonus and visa/work permit support

Задачи: — Анализ маркетинговой эффективности по каналам, включая платное привлечение, мероприятия, продуктовый маркетинг и производительность сайта. — Создание, поддержка и улучшение дашбордов для различных маркетинговых команд (performance, продуктовый маркетинг, мероприятия, сайт). — Поддержка маркетинговых заинтересованных сторон с ад-хок анализами, расследованием метрик и отчетностью (например, объяснение падения лидов или эффективности кампаний). — Работа с воронками привлечения, маркетинговыми расходами и моделями атрибуции (включая мульти-тач атрибуцию, где применимо). — Тесное сотрудничество с аналитикой продаж и экономикой единицы для обеспечения согласованных определений, метрик и моделей данных. — Помощь в улучшении качества данных, согласовании определений метрик и снижении несоответствий в дашбордах и отчетах. — Поддержка ежедневных аналитических потребностей маркетинговых команд и вклад в долгосрочные улучшения маркетинговой аналитики. Требования: — Опыт 3–6+ лет в области аналитики данных с практическим опытом в маркетинговой аналитике. — Сильные навыки SQL обязательны. — Практические знания маркетинговых метрик, анализа эффективности кампаний, моделей атрибуции или KPI маркетинга. — Опыт создания понятных и действенных дашбордов для нетехнических заинтересованных сторон. — Сильные коммуникативные навыки и способность тесно работать с маркетинговыми заинтересованными сторонами. — Аналитический склад ума, умение исследовать проблемы, объяснять изменения метрик и превращать данные в действенные инсайты. — Приветствуется опыт работы с веб-аналитикой, моделированием атрибуции и DBT. Условия: — Удалённая работа с гибким графиком без обязательных офисных дней и трекеров посещаемости. — Дополнительные выходные: день рождения, 10 личных дней в году, 7 больничных без справок, дополнительные выходные на Рождество и Новый год. — Работа с миссией создания безопасного, доступного и инклюзивного цифрового мира. — Конкурентная и прозрачная оплата, ориентированная на рынок. — Международная команда и проекты, работающие по всему миру. — Поддержка профессионального роста, обучение и участие в профильных мероприятиях. — Командные оффсайты несколько раз в год с покрытием расходов. — Обеспечение необходимыми инструментами и оборудованием для работы. — Дружелюбная и открытая корпоративная культура. Этапы найма: скрининг рекрутера, интервью с менеджером по найму, интервью с заинтересованными сторонами, финальное интервью.

Location: Tashkent, Uzbekistan В DMED мы создаём масштабные цифровые решения в сфере здравоохранения. Мы ищем Бизнес-аналитика , который поможет глубже понимать потребности пользователей, анализировать существующие процессы и находить решения, делающие наши продукты удобнее и эффективнее. Обязанности: Сбор и анализ требований: Cбор и анализ бизнес-требований от медицинских организаций для реализации нового функционала. Проведение интервью с пользователями и заказчиками (CustDev), выявление потребностей и определение приоритетов. Анализ требований на полноту и непротиворечивость, предложение оптимальных вариантов решений. Моделирование процессов и документация: Исследование и описание текущих бизнес-процессов (AS IS), проектирование целевого состояния (TO BE). Подготовка и структурирование понятной бизнес-документации. Кросс-функциональное взаимодействие: Согласование предлагаемых решений с заказчиками совместно с системным аналитиком. Взаимодействие с командами разработки, аналитики и внедрения на всех этапах реализации задач. Requirements Опыт и компетенции: Опыт работы бизнес-аналитиком от 2 лет (или участие в проектах по анализу и описанию бизнес-процессов). Уверенное понимание подходов AS IS / TO BE, умение видеть взаимосвязи между процессами. Базовое понимание жизненного цикла разработки ПО (SDLC). Инструменты и нотации: Базовые знания UML и BPMN . Умение строить диаграммы активности (Activity Diagram) и последовательности (Sequence Diagram). Базовые навыки работы в Figma . Языковые навыки: Грамотная устная и письменная речь на русском и узбекском языках. Знание английского языка будет плюсом. Будет плюсом Опыт работы в сфере здравоохранения или медицинских информационных систем. Опыт взаимодействия с медицинскими учреждениями и понимание принципов работы государственных структур. Продуктовое мышление и опыт проектирования нового функционала. Benefits Официальное трудоустройство; Работа в развивающейся IT-компании; Молодой и дружный коллектив; График работы: пн–пт с 9:00 до 18:00. Участие в масштабных цифровых и государственных проектах. Конкурентную заработную плату. Современный офис с комфортной инфраструктурой. Простор для карьерного и профессионального роста.

Location: Hybrid - San Francisco, New York City, London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Governance, Risk and Compliance (GRC) Analyst who wants to build GRC with AI, and you do not need to be an engineer to do it. We encourage and equip you to use AI tooling to build automations for audit evidence and customer security questionnaires, alongside assessing AI tools and vendors and managing audits. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do Assess AI tools and vendors against security, privacy, and compliance requirements, and run company compliance and ethics training Maintain the internal controls behind ISO 27001, System and Organization Controls 2 (SOC 2), Health Insurance Portability and Accountability Act (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS) compliance, and drive remediation to completion with documented progress Use AI tooling to build automations that collect audit evidence, monitor controls, and draft security questionnaire responses, and report on controls maturity scores Manage annual audit deliverables, write treatment plans, and track completion across teams Answer customer compliance inquiries and maintain customer-facing security and compliance documentation What you need 3+ years supporting the audit lifecycle for SOC 2, ISO 27001, PCI DSS, or HIPAA in a cloud-based environment Applied security or privacy controls to AI systems or AI vendors, such as model access, data handling, or third-party risk review Built security policies and technical controls into the software development lifecycle (SDLC) with engineering partners Led compliance projects across multiple business units and seniority levels Bonus if you Built an automation or internal tool, with code or AI coding tools, even outside an engineering role Worked with AI governance frameworks such as ISO/IEC 42001 or the National Institute of Standards and Technology (NIST) AI Risk Management Framework Hold a Certified Information Security Manager (CISM), Certified Information Systems Security Professional (CISSP), or Certified Compliance & Ethics Professional (CCEP) certification Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $134,000-$202,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Colombia ¡Únete a Plata CF , forma parte de la revolución financiera que inicia su expansión en Colombia ! Acabamos de recibir nuestra licencia bancaria en México y estamos entrando en una etapa de crecimiento, innovación constante y oportunidades reales para quienes quieren construir algo grande! Al integrarte como Analista de Fraude Jr vas a contribuir activamente en la identificación, investigación y prevención de actividades fraudulentas, garantizando la seguridad financiera de nuestros clientes y la integridad de nuestros productos. Este rol ofrece una oportunidad única para aquellos que desean iniciar su carrera en el campo de la seguridad financiera y están motivados para aprender y crecer profesionalmente. Responsabilidades: Supervisar de manera continua las transacciones para detectar patrones y comportamientos sospechosos que puedan indicar actividades fraudulentas, actuando de manera proactiva para prevenir pérdidas. Investigar a fondo las alertas de fraude generadas por nuestro sistema, colaborando estrechamente con los equipos de operaciones y atención al cliente para identificar y abordar las actividades fraudulentas de manera rápida y eficiente Contribuir al desarrollo y la mejora de estrategias, políticas y procedimientos de prevención de fraudes, proponiendo ideas innovadoras y soluciones efectivas para combatir las nuevas formas de fraude. Analizar las tendencias de fraude identificadas a través de datos y generar reportes detallados para la gestión de riesgos, proporcionando información valiosa para la toma de decisiones y la implementación de medidas preventivas adicionales. Colaborar en proyectos especiales relacionados con la seguridad y prevención de fraudes, trabajando en equipo para desarrollar e implementar soluciones específicas que fortalezcan nuestras defensas contra el fraude. Requisitos: Fuerte interés en la prevención de fraudes y seguridad financiera. Excelentes habilidades analíticas y de resolución de problemas. Destacadas habilidades blandas, como trabajo en equipo, comunicación efectiva, adaptabilidad y proactividad. Capacidad para trabajar en un entorno dinámico y bajo presión. Disponibilidad para aprender y compromiso con el crecimiento personal y profesional. Deseable experiencia con lenguajes de programación (SQL). Deseable manejo intermedio de Excel. Prestaciones y beneficios adicionales: Salario Base competitivo Bono de productividad Prestaciones de Ley Crecimiento profesional ¿Por qué unirte a PLATA CF? Creemos en las personas antes que en los puestos. Aquí encontrarás un lugar donde tu esfuerzo se reconoce, tu crecimiento importa y cada logro se celebra en equipo. Somos una empresa que apuesta por el talento, impulsa nuevas oportunidades y acompaña tu desarrollo profesional en cada paso.

Задачи: — Проектировать архитектурные решения совместно с командой; — Собирать, анализировать и согласовывать бизнес- и системные требования; — Описывать API, интеграции, процессы (UML/BPMN); — Взаимодействовать с разработчиками, архитекторами, ИБ и владельцами продукта; — Участвовать в тестировании, приемке функционала и сопровождении разработки; — Работать с Jira и Confluence, поддерживать актуальность документации. Требования: — Опыт работы системным аналитиком от 3 лет в финтехе, банках; — Английский язык на уровне B2 - C1 (обязательно для коммуникации с иностранными коллегами и клиентами); — Практический опыт работы с BPMN/UML; — Уверенный SQL (JOIN, оконные функции и др.); — Четкое понимание REST/SOAP, JSON/XML, Swagger; — Опыт работы с инструментами Jira, Confluence; — Навыки написания качественной технической документации. Плюсом будет: — Опыт в биометрии, криптографии, ЭП; — Знание и опыт работы по методологии docs-as-code. Условия: — Гибкие форматы сотрудничества (ИП или ТК РФ с прозрачными выплатами); — Удобный формат на выбор: гибрид в Москве или полноценная удалёнка по регионам РФ; — Работа в стабильном и технологичном финтех-домене над сложными задачами; — Полное отсутствие бюрократии и реальное влияние на архитектуру систем.

Обязанности: • сбор и выгрузка данных по запросу вышестоящего руководства из базы данные (SQL); • информирование сотрудников IТ-отдела о необходимости внесения изменений в программу по складским операциям или выгрузки данных из операционной БД; • ведение отчетности в Bi системе (Finebi) - если не было опыта, обучим. Требования: • образование: ИТ, математическое, техническое, экономическое; • базовое знание Exсel; • навыки чтения и анализа сложных SQL-запросов; • знание языка SQL (SELECT, INSERT, UPDATE, DELETE, JOIN, оконные функции), ClickHouse; • желание узнавать новое и развиваться. Условия: • график работы 5/2 с 8.30-до 17.30 (обговаривается); • офис в центре города; • оформление по ТК РФ (официальное трудоустройство, оплачиваемые отпуск и больничный, все прочие соц. гарантии и компенсации); • возможность посещения за счет компании групповых спортивных мероприятий; • корпоративные скидки и бонусы.

Location: Poland Workplace: remote Creatio is one of the fastest-growing AI software companies, with quarterly bookings reaching 255% of prior-year results, reflecting strong enterprise demand for AI CRM and workflow automation.With a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a  Leader and Strong Performer in multiple Gartner and Forrester reports. In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We're Looking For:No-Code Business Analyst to join our Industries Solutions Engineering Team.In this role, you'll leverage the Creatio platform, which allows you to cover most CRM functionalities with no-code development. You will utilize these tools to create applications and conduct research to determine what is actually needed to solve real-world problems effectively.Key Responsibilities:UI Creation with No-Code Tools: Create application UIs using No-code designer tools, including a drag-and-drop interface for composing UI for pages and sections, simplifying and accelerating the development process.Server Logic Automation: Develop server logic automation using no-code business process tools, similar to a diagram constructor, to implement complex logic for applications, tailored to BPMN notation, leveraging no-code capabilities to streamline automation.Web Services Integration: Create web services for system integration using no-code tools, including designing RESTful APIs and SOAP interfaces to enable seamless data exchange, ensuring adherence to security protocols, and providing documentation for developers and third-party systems.Webhook Services Configuration: Create and configure webhook services using no-code tools to receive requests from external services, ensuring proper authentication, data handling, and logging mechanisms for secure and reliable communication.Database Design: Design database structures using Creatio Objects designer, involving defining tables, relationships, and data fields to ensure scalability, performance, and data integrity.User Story Decomposition: Decompose User Stories into executable tasks for no-code creation.Market Research: Conduct market research to generate insights on competitors, industry trends, and analytical reports (e.g., Gartner, Forrester) to identify opportunities for product improvement.Customer Feedback Gathering: Conduct interviews with end users or solution consultants to gather customer feedback and key product requirements.Collaboration with QA: Collaborate closely with Quality Assurance Engineers to ensure both manual and automated testing of created solutions, guaranteeing high-quality, robust, and reliable outcomes.Version Control: Utilize Git/SVN for version control, ensuring seamless collaboration, code integrity, and efficient management of application changesRequired Skills & Competencies:Proven experience in conducting business analysis and research tasks, including market research, competitor analysis, and gathering business requirements to shape product features.Knowledge of database management, including key principles of T-SQL, data queuing, designing relationships, view models, indexes, and understanding the fundamentals of complex selection queries such as joins and sub-selects.Solid understanding of BPMN notation principles, with the ability to model business processes accurately and efficiently.Proven experience working within software development teams or as a business analyst for IT projects, demonstrating effective collaboration skills.Hands-on experience in configuring information systems through UI-based tools, ensuring optimal user experiences.Strong general understanding of technology concepts, data structures, and integration methods to ensure seamless implementation of no-code solutions.A fast learner, capable of quickly adapting to new UI tools and technologies, with an eagerness to continuously expand your skill set.Proficiency in English, with the ability to conduct interviews and collaborate effectively with international stakeholders.Will be a plus:Demonstrated proficiency with one or more of the following platforms and tools: CRM, BPM, or No-Code Platform/System Experience.Coding skills, with the ability to understand and communicate technical concepts effectively.Proficiency with Figma or similar software for UI prototyping, creating clear and effective user interfaces that enhance the user experience.What to expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Задачи: — Сбор сложных требований заказчиков — Проектирование интеграций в Enterprise-архитектуре — Доведение фич до продакшена без лишней бюрократии Требования: — Опыт работы от 2 лет аналитиком в области ИТ или бизнес-анализа — Опыт сбора, формализации требований заказчика и написания ТЗ на разработку ПО и веб-сервисов — Гражданство РФ и нахождение на территории РФ — Знание типов, иерархии, жизненного цикла требований и методик их выявления (User Story, CJM) — Знание нотаций моделирования процессов (BPMN, UML, EPC или других) — Опыт разработки систем с интеграциями или компонентов в Enterprise-архитектуре — SQL на уровне написания запросов с группировками, объединениями (JOIN) и вычисляемыми полями — Понимание моделей жизненного цикла ПО (Водопад, Agile/Lean — Scrum, Kanban) — Понимание процессов контроля качества и функционального тестирования (тест-кейсы, сценарии) — Опыт использования систем коллективной работы (Jira, Confluence) — Отличные Soft Skills: системное мышление, сильные коммуникации и умение достигать результата в срок Будет плюсом: — Понимание банковских бизнес-процессов — Знание специализированных инструментов моделирования (Sparx EA, Visual Paradigm, Archi и т.п.) — Опыт подготовки документации для конечных пользователей Условия: — 100% удаленный формат работы со стабильным графиком 5/2 — Конкурентный доход до 250k на руки по результатам технических интервью — Работа в стабильной и опытной компании с 20-летней историей на рынке финтеха — Крупные долгосрочные проекты, которые прокачают твою продуктовую и системную экспертизу

Location: Санкт-Петербург Команда блока «корпоративно – инвестиционный бизнес» ищет в команду кредитного специалиста. Мы работаем в сегменте крупный/средний бизнес. Обязанности * готовить заключения по сделке * анализировать финансово-хозяйственную деятельность заемщика, группы компаний * структурировать кредитные сделки * взаимодействовать с кросс-функциональными подразделениями в рамках совместных сделок * оценивать финансовые показатели при проведении кредитного анализа * готовить презентации по сделке, и защищать сделки на коллегиальном органе банка * своевременно диагностировать проблемы заемщика, работать с проблемной и просроченной задолженностью Требования * высшее образование в области: финансы, банки, экономика или бухгалтерия * опыт рассмотрения кредитных сделок (оборотное кредитование, контрактное кредитование, проектное финансирование, инвестиционное кредитование) * актуальный опыт работы в должности кредитного инспектора крупнейшего, крупного и среднего бизнеса * знание действующего законодательства РФ в части вопросов, связанных с кредитованием корпоративных клиентов * знания бухгалтерского учета и анализа финансово-хозяйственной деятельность * инструментальное владение AI для анализа, генерации и автоматизации Условия * трудоустройство согласно ТК РФ * гарантированный доход плюс премиальное вознаграждение * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * льготные условия кредитования * ДМС с первого дня и льготное страхование для близких * подписка Прайм с возможностью совместного использования на трёх близких * корпоративная пенсионная программа * обучение за счет компании: онлайн курсы в Виртуальной школе Сбера, возможность получить новую квалификацию * курсы для будущих родителей, материальная поддержка молодых мам, детский отдых и подарки за счет компании * реферальная программа для сотрудников: можно пригласить в команду знакомых профессионалов и получить вознаграждение * адрес офиса: Санкт-Петербург ул. Красного Текстильщика д.2

Location: Khet Din Daeng, Thailand Workplace: none Knauf stands for opportunity. We know that opportunity looks different to each person, and we are proud that we see opportunity in everyone. This exciting role within the Finance department could be the perfect next opportunity for you to build a unique career, in a values-led culture with a clear purpose of making tomorrow a home for all of us. We are a family-owned global manufacturer of construction materials and within our Group, our 43,500 team members in 90 countries across 320 sites provide a huge opportunity for anyone with ambition and energy. We value everyone's contribution equally and we ask that you bring your whole self to work, to enrich the business further, as together we achieve more in a safe and inclusive environment. In Asia Pacific, since the 1990s Knauf has been established as a leading and trusted brand for drywall products and system solutions. Today, with over 5,500 experienced, talented, and diversified people operating nearly 35 production facilities and offices across the region, coupled with an extensive expertise-backed sales and support network, our teams deliver the best of Knauf to our customers, while supporting positive changes to the industry and communities where we operate – in Australia, China, Korea, Japan, India, Thailand, Indonesia, Vietnam, Philippines, Malaysia, Singapore, Central Asia, and the Caucasus. Reporting into Financial Planning and Analysis Director , we are searching for a team member to join us as Financial Planning & Analysis (Senior) Analyst . Can you say yes? We are looking for an experienced Financial Planning & Analysis (Senior) Analyst to strengthen our regional finance organization and lead core FP&A topics across APAC, with close alignment to our Global headquarters and APAC senior management. The position will be responsible for owning and developing regional KPI systems and reporting tools, including but not limited to budgeting and forecasting coordination, periodic management reporting, cost control and businesses analysis. The role will support business outcomes by steering and analyzing performance across APAC entities and by focusing on improving Controlling and financial reporting processes across the Group. What you will be doing Financial stewardship of the region Asia and Pacific (APAC) covering multiple business units across Asia and Pacific (40+ production sites) Ensure effective coordination of budgeting, forecasting cycles, financial and statistical reporting Business analyses, comments, periodic and ad-hoc reporting towards APAC senior management and Global headquarter Support closing activities and ensure alignment with Group reporting standards Review of the business development of single APAC business units Drive continuous improvement of FP&A processes and reporting tools Work on improving the data foundation and automation behind the regional FP&A department, ideally including supporting a transition to Tableau- and BI-based reporting Continuously develop, optimize, and enhance internal controlling tools, reporting structures, and financial processes Contribute to special projects, Global FP&A initiatives and transformation projects Mentoring and guidance of the regional Finance community in Controlling and Accounting issues What we would love for you to have Education & Experience - Degree in business administration, finance, economics, or comparable field, ideally with focus on Finance or Controlling (FP&A) -4–7 years in Finance, FP&A, Controlling or related field -Proven background working within multinational organization, ideally with production footprint -Strong in reporting, planning, KPI systems, and business analysis -Deep expertise in performance management, data analytics, process and reporting design, with strong cross‑cultural acumen -Commercially minded and detail-oriented Technical Knowledge: -Advanced end‑to‑end P&L management expertise -Regulatory & Standards knowledge of IFRS, balance sheet structure and their application to business operations -Strong affinity for IT and technology -Experience in working, analyzing and interpreting large datasets -Advanced proficiency in Excel, PowerPoint, and financial modelling is required -Expertise in data warehouse applications, BI / reporting tools and SAP is an advantage -Experience with digital tools and openness to implementing AI-driven solutions in financial processes Behavioral & Leadership Competencies: - Strong analytical skills, ability to communicate topics to senior management and to present complex financial topics clearly -High personal standards for accuracy, strong self-management, structured way of working, and ability to operate on your own -Proven ability to build trust and drive change across different departments -Openness to cross-functional transparency and a commitment to sharing information across the organization to achieve collective goals What happens next? Your application will be reviewed by our Hiring Team to determine if your experiences and skills are what we are looking for in the role. If you are, our Talent Acquisition representative will contact you promptly to arrange for next steps.

Location: Algiers, Algeria Workplace: hybrid As a marketing data analyst at Yassir, working in the Data and AI team, you will have the opportunity to make significant contributions to Yassir's marketing strategies, targeting efforts, and customer engagement initiatives. You will leverage advanced analytics to optimize marketing campaigns, understand audience behavior, and enhance the overall marketing performance, ultimately driving growth and success across Yassir's services in 45 cities across 7 countries (Algeria, Tunisia, Morocco, Senegal, South Africa, and France).   Responsibilities: Collaborate with marketing teams to analyze marketing performance metrics, including attribution, audience targeting effectiveness, campaign ROI, and user engagement metrics. Utilize data analysis skills, along with a deep understanding of marketing principles, to identify opportunities for improving marketing strategies and tactics. Work cross-functionally with Product, Engineering, Research, and other teams to integrate marketing data into overall business strategy and product development processes. Serve as a data ambassador, promoting a data-driven marketing culture within the organization. Influence marketing strategy and execution by providing data-driven insights and recommendations to key stakeholders. Partner with Engineering to ensure the collection of relevant data for informed decision-making and optimization of marketing efforts. Develop and implement hypotheses for optimizing marketing performance, employing rigorous analytical approaches and methodologies. Communicate insights and recommendations effectively through data-driven storytelling, influencing stakeholders to make data-informed decisions. Minimum qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.  A minimum experience of 5 years in analytics in an app marketing environment, including a track record of leveraging attribution tools and analytics to define marketing strategies and of defining tracking plans for marketing campaigns.  Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Language skills: French and English (fluent), Arabic is an advantage.  Benefits:

Location: Algiers, Algeria Workplace: hybrid About Yassir Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast. By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa. yassir.com About the Role Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team The Data Analytics team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Key Responsibilities Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products. Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making. Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics. Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance. Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data. Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements. Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives. Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements. Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy. Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards. Key Requirements Essential 2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases.

Задачи: — Сотрудничество с бизнес-стейкхолдерами для понимания их потребностей и требований — Анализ и документирование бизнес-процессов, рабочих процессов и функциональностей систем — Проектирование и предложение технических решений, соответствующих бизнес-целям и технологической стратегии FxPro — Разработка детальных системных спецификаций, диаграмм и блок-схем для руководства разработчиками — Тесное взаимодействие с командами разработки для контроля реализации системных решений — Обеспечение бесшовной интеграции новых систем с существующей инфраструктурой и платформами Требования: — Опыт работы системным аналитиком не менее 5 лет — Экспертиза в анализе и документировании требований для backend-сервисов — Опыт создания детальных системных спецификаций, wireframes, диаграмм и блок-схем — Владение созданием комплексной технической документации — Знание системной архитектуры — Опыт работы с RESTful APIs, GraphQL и интеграцией сторонних API — Знание отраслевых стандартов и требований регуляторов — Сильные навыки решения проблем и устранения неполадок — Отличные устные и письменные коммуникативные навыки — Способность к сотрудничеству и работе в команде — Аналитическое мышление — Адаптивность к изменяющимся бизнес-требованиям — Свободное владение английским и русским языками Желательно: — Глубокие знания торговых систем — Понимание принципов UX/UI дизайна Условия: — Отличный компенсационный пакет — Медицинская страховка — Пенсионный фонд — Собственный спортзал с персональным тренером — Бесплатное ежедневное питание, закуски и напитки — Корпоративная дисконтная карта на различные товары и услуги — 21 день ежегодного отпуска и 10 дней больничных в год — Трансфер из Лимассола — Подарок на день рождения — Бонус на релокацию и поддержка в оформлении визы/разрешения на работу

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the Role Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the team The Data Analytics team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Responsibilities Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products. Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making. Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics. Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance. Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data. Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements. Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives. Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements. Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy. Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards. Requirments Essential 2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases. Join the ride! At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Lagos, Nigeria Data Analysis & Reporting Analyze card portfolio data to identify trends, patterns, and performance insights Prepare regular reports on key metrics such as transaction volumes, spend, and card usage Support ad-hoc data requests from business teams Dashboard Development & Maintenance Develop and maintain dashboards using tools such as Power BI or similar platforms Ensure data accuracy, consistency, and integrity across reporting outputs Automate recurring reports where possible Performance Monitoring Track key performance indicators including card issuance, activation, utilization, and revenue Highlight variances, anomalies, and areas requiring attention Support ongoing monitoring of business performance Customer & Transaction Analysis Analyze customer behavior and transaction patterns Provide insights to support business decisions and operational improvements Data Management Support Work with internal teams to ensure proper data capture and quality Assist in structuring and organizing datasets for analysis Requirements Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field 2–4 years’ experience in a Data Analyst role (preferably within banking, fintech, or payments) Strong proficiency in Excel and SQL Experience with data visualization tools (e.g., Power BI, Tableau) Ability to work with large datasets and perform data cleaning and validation