Sr DATA ANALYST

Job Description Roles & Responsibilities 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 / 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). Desired Candidate Profile Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field. Proven experience in data analysis, BI, and reporting,preferably in a call centre environment. Proficiency in Excel, PowerPoint, Power BI, Microsoft Fabric, Dataverse, and coding (SQL, DAX, Power Query/M,Python). Employment Type Contract Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area IT Software Keywords Data AnalystPiping EngineeringMicrosoft Power BIReporting AnalystData ManagementBusiness IntelligenceMISMIS SpecialistAnalytics EngineerAnalyticsBusiness Intelligence Analyst Get real-time job updates only on our App