Website EXL Service
Senior Data Analyst – EXL
Opportunity Overview
Business Transformation & Analytics Operations Workflow
The Senior Data Analyst at EXL serves as a key analytical bridge, converting client legacy data into actionable intelligence, automated dashboards, and streamlined operational decisions across enterprise value chains:
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│ 1. Requirements Gathering & Framing │ ➔ Partner with global business stakeholders to translate domain challenges into analytics schemas
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│ 2. Complex SQL Extraction & Optimization │ ➔ Construct & fine-tune high-performance SQL scripts for data extraction and transformation
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│ 3. BI Dashboard Design & Trend Mining │ ➔ Build interactive Power BI / Tableau dashboards to uncover trends, patterns, & insights
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│ 4. Workflow Automation & Governance │ ➔ Automate periodic reporting pipelines, ensuring data integrity, speed, & decision impact
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Key Responsibilities
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Complex SQL Engineering: Write, refactor, and optimize advanced SQL queries for large-scale data extraction, aggregations, and data processing performance.
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Interactive Dashboard Architecture: Design, build, and deploy executive dashboards and reporting views using Power BI or Tableau.
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Insight Mining & Pattern Recognition: Analyze operational and transactional datasets to uncover underlying performance trends, anomalies, and revenue optimization opportunities.
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Stakeholder Consultation: Work directly with business leads to scope technical requirements, align on success metrics, and deliver tailored data solutions.
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Workflow Automation & Integrity: Automate recurring reporting systems to improve operational efficiency, maintaining strict standards for data consistency and accuracy.
Qualification Matrix & Technical Skill Stack
Core Requirements
Key Focus Areas for Interview Preparation
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SQL Query Performance Optimization: Be prepared for live coding tests focusing on query execution plans, indexing strategies, join optimization, and handling mass dataset aggregation efficiently.
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Advanced BI Calculations: Practice scenario questions involving complex DAX (in Power BI) or LOD Expressions (in Tableau) to solve multi-level business aggregation problems.
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Analytics Consulting Scenarios: Prepare examples demonstrating how you mapped client business requirements to an automated reporting system that drove measurable operational savings or revenue growth.


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