Lead Assistant Manager
Company: EXL
Role summary
Lead Assistant Manager is a full-time role at EXL in Bengaluru, Karnataka, India (hybrid). Posted 2026-10-07. Experience level: 5-10.
- Job title
- Lead Assistant Manager
- Company
- EXL
- Location
- Bengaluru, Karnataka, India
- Work arrangement
- hybrid
- Employment type
- full-time
- Category
- Software Engineering
- Experience level
- 5-10
- Date posted
- 2026-10-07
This is a fantastic opportunity for an experienced Data Modeler to join a leading company and make a real impact. You'll get to design and maintain crucial data structures, working closely with talented teams to ensure data quality and support analytics. It's a full-time, in-office role in Bangalore where your expertise will be highly valued.
Job description
Role: Data Modeler
Location: Bangalore (5 days mandatory work from office)
Type: Full-time
Experience: 7+ years
Key Responsibilities
Design and maintain conceptual, logical, and physical data models
Develop scalable dimensional 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
Must-Have Skills
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
Responsibilities
Design and maintain conceptual, logical, and physical data models
Develop scalable dimensional 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
Qualifications
Graduate in Computer Science, Data Science, or a related field. 7+ years of experience in data modelling or data analysis.