Sr DATA ANALYST
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About the Role
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, integr.
Key Skills for This Role
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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. The role combines business intelligence engineering but not limited to (Power BI, Microsoft Fabric, Dataverse, Azure), AI/automation (Power Automate, Azure AI, Copilot Studio, AI Builder), contact centre analytics (Genesys, Salesforce/CRM), and stakeholder consulting to enable data-driven decision-making across Customer Care, Operations, Quality, and Senior Management.
Key Responsibilities And 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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