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4 дня назад

Technical Business Analyst (Data Management)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Romania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Business Analyst (Data Management) (Data Lake/SQL): Designing and governing data lake solutions that ensure data availability, shared business definitions, traceability, and data quality with an accent on data modeling, metadata management, and regulatory controls. Focus on translating business requirements into technical specifications, creating testing scenarios, aligning implementations with target architecture, and using AI to support data and testing activities.

Location: Bucharest - Dacia One, Romania; hybrid work from home or the office

Company

hirify.global Romania provides software development, data management, risk and compliance, audit, and retail operations services to ING units worldwide from Bucharest and Cluj-Napoca.

What you will do

  • Collaborate with business stakeholders from Financial Insights, Direct Products, Service and Operations, and KYC to gather and clarify requirements.
  • Develop conceptual and logical data models and support engineers in translating them into physical models.
  • Create detailed specifications for sourcing and structuring data in the data lake.
  • Design testing scenarios and participate in functional testing.
  • Define and maintain requirements for data quality, lineage, privacy, security, metadata, and data dictionary management.
  • Align data lake implementations with architects and the target architecture, while contributing to process automation and responsible AI adoption.

Requirements

  • 3–5 years of experience in a similar technical business analyst role.
  • Hands-on experience with SQL and databases and/or data warehouses.
  • Strong conceptual, analytical, communication, and stakeholder-management skills.
  • Experience gathering requirements and writing technical and functional specifications.
  • Experience with Agile methodologies.
  • Advanced English proficiency is required.

Nice to have

  • Bachelor’s degree or higher in an IT-related field.
  • Experience in banking, financial institutions, Credit Risk, or Credit Risk modelling.
  • Knowledge of dimensional data modelling, data warehouse technology, and data governance practices.
  • Experience with data quality, lineage, security, privacy, lifecycle management, and issue remediation.
  • AI experimentation experience.

Culture & Benefits

  • Flexible hybrid working environment with the option to work from home or the office.
  • Collaborative culture with fair and constructive feedback.
  • Opportunity to work on data solutions serving ING units worldwide.
  • Access to an environment focused on innovative technology and impactful solutions.

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