
Data Analyst
1 week ago
Must-Have
• 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 hands-on 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 detail-oriented.
• Working knowledge of Agile frameworks (Scrum/Kanban) and delivery tools (Jira/Confluence).
Nice-to-Have
• 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 large-scale consumer services domain experience.
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