Data Analyst

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.