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Business Analyst - Data Availability

ALDI Magyarország Budapest, Central Hungary, Hungary

Retail · 5,001-10,000 employees

Sep 10
business-analyst Mid (2-5 yrs) Full-time Hungary
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About the role

Act as the primary point of contact for data consumers to capture, qualify, and frame data requests while defining scope and acceptance criteria. Translate business requirements into development-ready user stories and support agile delivery teams throughout the request lifecycle.

What they look for

Business analysis Data analysis Requirements engineering User stories Acceptance criteria Data literacy Data modeling SQL Agile methodology Communication skills Stakeholder management Backlog refinement SAP BDC Data product generation

Requirements

Requires 2-4 years of experience in business analysis, data analysis, or requirements engineering within a large organization. Candidates must possess strong data literacy, SQL skills, and the ability to translate complex business problems into technical specifications.

Benefits

Individual and practical training Varied and interesting tasks Pleasant working environments Secure, long-term employment

Full description

My responsibilities:

  • Act as the first point of contact for data consumers and capture, qualify, and frame incoming data requests
  • Clarify the business problem, target outcome, decision context, and expected value together with stakeholders
  • Identify the required data, source systems, fields, granularity, constraints, and relevant source-system contacts
  • Define scope, transformations, acceptance criteria, and handover artefacts for each request
  • Translate requirements into development-ready user stories and support backlog refinement with agile delivery teams
  • Configure the SAP Data Product Generator to define custom data products in SAP BDC
  • Provide value, urgency, dependencies, and business context to support prioritisation and delivery planning
  • Keep internal customers informed about status, trade-offs, and next steps throughout the request lifecycle 

The knowledge I own:

  • 2-4 years of experience in business analysis, data analysis, or requirements engineering in a large organisation
  • Ability to structure ambiguous business problems and translate them into clear, development-ready data needs
  • Strong requirements-engineering skills, including user stories, acceptance criteria, and delivery-ready specifications
  • Good data literacy, including data models, source fields, joins, granularity, and SQL-based analysis
  • Practical experience working in agile teams and supporting a smooth handover from discovery into delivery
  • Excellent communication skills and the ability to translate effectively between business and technical audiences 

The offer that would convince me:

  • Possibility to improve yourself in a constantly growing organization  
  • An above-average salary  
  • Intensive individual and practical training varied and interesting tasks  
  • Pleasant working environments
  • A secure, long-term employment opportunity  

Location:

​Hybrid​

Start date:

​Immediately​

Online application:

Please use our online application and attach your resume.

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