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EXL

Lead Assistant Manager

EXL

. Design and maintain conceptual, logical, and physical data models .

Posted 10/7/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data modeling, including dimensional modeling and data architecture, with a strong focus on ensuring data integrity and performance. Collaborates effectively with data architects and engineering teams to translate business requirements into scalable data structures.

Highest-signal resume keywords
Data ModelingDimensional ModelingAdvanced SQL SkillsData WarehousingETL Architecture

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ModelingDimensional ModelingNormalized DesignDenormalized DesignAdvanced SQLData AnalysisData ConsistencyData IntegrityPerformance OptimizationImpact Analysis
Soft Skills
CollaborationCommunication
Certifications & Qualifications
Bachelor's DegreeGraduate Degree
Industry Keywords
Data ArchitectureData LineageMetadata DocumentationAnalytics Use Cases

Tech Stack

Tools & technologies
ETLSQL

About the role

Key responsibilities & impact
  • Design and maintain conceptual, logical, and physical data models
  • Develop scalable dimensional models for analytics and reporting
  • Collaborate with data architects and engineers to align models with platform and architectural standards
  • Translate business requirements into high-quality, reusable data structures
  • Ensure data consistency, integrity, and performance across data layers
  • Support impact analysis, data lineage, and metadata documentation

Requirements

What you’ll need
  • Bachelor's Degree / Graduate in Computer Science, Data Science, or a related field
  • 7+ years of experience in data modelling or data analysis
  • 7+ years of experience in data modeling for large-scale data platforms
  • Strong expertise in dimensional modeling, normalized and denormalized designs
  • Good understanding of data architecture and ETL architecture
  • Advanced SQL skills and deep understanding of analytical query patterns
  • Experience working closely with data architects and engineering teams
  • Strong understanding of data warehousing and analytics use cases