ETL Hungary - Budapest

My responsibilities:

• Perform advanced data analysis including required data discovery to improve business performance and enable data-driven decisions, including operational and financial data
• Support assigned analyses and projects with complex ad-hoc business analysis for management
• Bridge business requirements to technical availability: translate stakeholder needs into clear data requirements and feasible analytics/use cases
• Extract, validate, and export data from source systems using SQL and/or Python, ensuring results are complete and accurate
• Maintain high data integrity by investigating and resolving potential data discrepancies
• Prepare advanced tables and reports and compile insights clearly for stakeholders—“putting together results” in a decision-ready way
• Contribute to ETL activities by modifying/transforming datasets for analysis (where needed)
• Collaborate with ALDI Organisation (IPOs and country teams) on data-related topics and participate in the data community

The knowledge I own:

• Strong skills in general data concepts and data usage for business purposes
• Several years of practical experience in business and/or data analysis, and ideally related experience in data stewardship / data architecture / data management
• Strong analytical and structured problem-solving skills to translate business questions into data requirements
• Proficiency in Python and SQL for data extraction, transformation, validation, and analysis
• Conceptual knowledge of data and analytics (e.g., dimensional modeling, ETL, reporting tools, and basics of data governance; familiarity with warehousing and structured/unstructured data)

The offer that would convince me:

• A constantly growing organization and increasing opportunities
• Secure, long-term job opportunity
• Varied and engaging job responsibilities
• Outstanding salary
• Flexible work arrangements
• Home office possibility

Online application:

Please use our online application and attach your resume.

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