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naukri

Sr DATA ANALYST

TRANS SKILLS EMPLOYMENT SERVICES - SOLE PROPRIETORSHIP L.L.C.
Dubai, UAE
Senior
2 weeks ago
Power BIMicrosoft FabricDataverseAzurePower AutomateGenesys
Free

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Power BIMicrosoft FabricDataverse
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Overview

  • As a Senior MIS / Data Analyst, you will own the end to end data lifecycle supporting but not limited to the contact centre and business operations — from data ingestion, integration, and modeling through advanced analytics, AI driven insights, automation, and executive level reporting.

Key Responsibilities / Accountabilities

  • Design, build, and maintain scalable data pipelines ingesting data from but not limited to Genesys Cloud APIs, CRMs (Salesforce/Dynamics), surveys, telephony, and operational systems.
  • Architect and maintain data models and table structures but not limited to Microsoft Fabric, Dataverse, Azure SQL, and Data Lake, including staging, curated, and semantic layers (star/snowflake modeling).
  • Build and maintain integrations and connectors between but not limited to Genesys, Power Automate, Dataverse, SharePoint, Azure, and downstream BI tools.
  • Manage large volume interaction datasets but not limited to (voice, chat, email, WhatsApp) with pagination, incremental refresh, and historical backfills.
  • Ensure data accuracy, consistency, lineage, and integrity through validation.

Business Intelligence, Reporting & Dashboards

  • Prepare daily, weekly, monthly, and ad hoc reports on contact centre KPIs (AHT, CSAT, NPS, FCR, SLA, abandonment, occupancy, quality scores, agent performance) + business services department reports.
  • Design and publish interactive Power BI dashboards with row level security, drill throughs, and mobile friendly layouts for management and operational users.
  • Build semantic models (DAX, calculation groups, time intelligence) acting as a single source of truth.
  • Automate reporting end to end using Power Automate, Power BI dataflows, scheduled refresh, and alerting.
  • Produce executive PowerPoint / Power BI storytelling.

Technical Engineering & Coding

  • Apply SQL, DAX, Power Query (M), Python, PowerShell, REST APIs, and JSON to extract, transform, and load data.
  • Develop and consume REST APIs (Genesys, Salesforce, Microsoft Graph, custom connectors) with OAuth, pagination, throttling, and error handling.
  • Build reusable Power Query / DAX libraries, templates, and team standards.
  • Optimize pipeline, query, and dashboard performance (incremental refresh, partitioning, query folding, aggregations).

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