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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