Data Analyst / Business Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst / Business Analyst (Data/Migration): Managing and preparing complex customer datasets for migration projects with an accent on data validation, quality assurance, and process optimization. Focus on bridging business requirements with technical execution and transitioning manual Excel workflows to automated Python-based solutions.
Location: Must be based in the European Union
Company
is a global digital transformation and engineering partner specializing in AI, data, and cloud solutions for enterprise clients.
What you will do
- Derive customer groups for migrations based on predefined criteria and data flags.
- Prepare, validate, and deliver datasets to business and technical stakeholders.
- Perform detailed data checks to support migration decision-making.
- Transition data handling from Excel to optimized Python-based workflows.
- Act as a bridge between business needs and technical feasibility.
- Maintain clear documentation in Confluence to ensure traceability.
Requirements
- Must be based in the European Union with a valid work permit.
- Strong experience in data handling and preparation with large, complex datasets.
- Advanced Excel skills and practical experience with Python for data processing.
- Solid business analysis skills and ability to translate stakeholder needs into data requirements.
- Experience in system or data migration projects.
- Very good English communication skills.
- Practical experience using AI-powered assistants for productivity.
Nice to have
- Basic knowledge of SQL or database concepts.
- Experience in large corporate or enterprise environments.
- Exposure to Salesforce or CRM-related data.
- Experience applying GenAI within the SDLC.
Culture & Benefits
- Work in an international, English-speaking environment.
- Focus on engineering excellence and a people-first culture.
- Opportunities for growth and knowledge sharing.
- Exposure to leading technologies like AWS, Azure, GCP, and Databricks.
Hiring process
- CV review, HR call, Interview, and Client Interview.
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