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MustHave
- 5–7 years of experience as a Data Analyst (or similar) in complex enterprise environments.
- Strong SQL skills (data extraction, joins, window functions, performance basics) and handson experience with Power BI (data modeling, DAX/Power Query, visuals).
- Demonstrated experience analyzing application data structures, mapping data flows, and working with technical SMEs.
- Proven ability to translate ambiguous business problems into clear analytical outputs and backlog items (Epics/Stories/AC).
- Excellent documentation, communication, and stakeholder management skills; highly organized, proactive, analytical, and detailoriented.
- Working knowledge of Agile frameworks (Scrum/Kanban) and delivery tools (Jira/Confluence).
NicetoHave
- Exposure to cloud data platforms (e.g., Azure ADLS/ADF/Synapse/Databricks, or AWS/GCP equivalents).
- Awareness of data retention/privacy (e.g., GDPR principles), data governance, and metadata/lineage tools (e.g., Collibra).
- Experience with Python for analysis/automation (pandas), and Excel advanced features (Power Query, advanced formulas).
- Telecom or largescale consumer services domain experience.
Education & Certifications
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or equivalent practical experience.
- Certifications (nicetohave): Microsoft Power BI, Azure Fundamentals, PSM/CSM.
Key Skills
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