Assistant Vice President

EXL; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EXL in Bengaluru/Gurgaon is seeking an experienced Data Modeler to design and maintain conceptual, logical, and physical data models for large-scale analytics platforms. The role requires collaboration with data architects and engineers to ensure models align with platform standards and analytics needs.

This position is full-time and office-based with a 5-day on-site requirement. The ideal candidate will have 7+ years of data modelling experience, strong SQL skills, and a solid understanding of

Qualifications

• 7+ years of experience in data modelling 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.

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.

Skills

Data modeling

Dimensional modeling

SQL

ETL architecture

Data warehousing

Analytical querying

Collaboration

Education

Bachelor's or Master's in CS/Data Science

Job description

Job Description:

Role: Data Modeler

Location:Gurgaon/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 for Internal Candidates

• 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 for Internal Candidates

• 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

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

Qualifications

Bachelors or Masters degree in Computer Science, Data Science, or a related field. 7+ years of experience in data modelling or data analysis.

Requirements: