Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$39к$49кмедиана$60к
36 в выборке
На СНГ рынке: $2.7к/мес ($2.1к - $3.8к)
70
Средняя вакансия
развернуть
Роль хорошо определена с солидным стеком технологий, но отсутствие информации о зарплате и корпоративная среда могут вызывать некоторые опасения по поводу роста и баланса работы и личной жизни.
Кликните для подробной информации
Нет информации о зарплатеСолидный стек технологийКорпоративная средаГибридная модель работы
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
GBS Data Analytics Analyst (Microsoft Fabric): Designing enterprise-scale data pipelines, analytics dashboards, and governed data products across finance and business processes with an accent on Snowflake, Microsoft Fabric, Power BI, and AI-enabled analytics tools. Focus on building cloud data platforms, optimizing data modeling and orchestration, and ensuring data governance, security, and performance.
Location: Budapest, Hungary; hybrid role with up to 3 days per week working from home.
Company
Global provider of flavors, fragrances, food ingredients, and health and biosciences solutions, with Global Business Services supporting scalable, compliant, and efficient operations.
What you will do
Design and implement enterprise-scale data pipelines, advanced analytics dashboards, and AI-enabled analytics solutions using tools such as Microsoft Copilot Agents and Claude.
Develop and optimize data ingestion, transformation, modeling, and orchestration workflows across structured data environments and cloud platforms.
Build scalable, secure, and high-performing data products with Microsoft Fabric, Snowflake, and Power BI.
Translate business and finance requirements across Order to Cash, Source to Pay, and Record to Report into actionable data strategies.
Develop governed Power BI datasets and dashboards for self-service analytics and data-driven decision-making.
Implement data governance, quality, security, and compliance standards while identifying opportunities for automation, innovation, and data transformation.
Requirements
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Statistics, Information Technology, or a related field.
Minimum 2–3 years of experience in data analytics, business intelligence, data engineering, or related disciplines.
Expert-level proficiency in SQL and relational database technologies.
Strong hands-on experience with Snowflake, Microsoft Fabric, and Power BI.
Proven experience designing, building, and scaling cloud-based data pipelines and analytics platforms.
Solid understanding of finance process domains, including Order to Cash, Source to Pay, and Record to Report.
Deep understanding of data modeling, orchestration, governance, and performance optimization.
Excellent communication and stakeholder management skills, including the ability to influence technical and non-technical audiences.
Fluent English and the ability to work effectively in a fast-paced, global environment.
Nice to have
Experience with enterprise-grade data orchestration tools, including Snowflake orchestration capabilities.
Proficiency in Python, Microsoft Fabric, and Power BI for advanced transformation, automation, and visualization.
Familiarity with Agile methodologies, CI/CD pipelines, and Git.
Strategic mindset, curiosity about emerging technologies, and interest in driving business value through data and analytics.
Culture & Benefits
Agile, technically driven, and customer-focused working environment.
Hybrid working model with up to 3 days per week of home office.
Cafeteria benefits, annual bonus, and private health insurance.
Professional onboarding, learning and development programs, and training opportunities.
Global career growth opportunities in a multinational and supportive environment.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →