About EXL
EXL is a leading operations management and analytics company that helps businesses improve decision-making and drive growth. With a strong presence in India, EXL offers a dynamic work environment and opportunities for professional growth.
🔥 Viewed by 76 students today✓ Verified Listing
Data Analyst
✓ Company career page verified✓ Application route verifiedLast checked on Jul 9, 2026
💼 Experience Required
Fresher / 0-1 Years
🕒 Employment Type
Full-time
🎓 Target Batch
2025 / 2026
🚀 Role Category
Data Science
📌 How to Apply
Click on the Apply button
💰 Salary
₹6 – ₹12 LPA
Skills Recommended
SQLdata validation conceptsschema checksdata typesnull handlingreferential integrityClaudeCursoragentic AI tools
Career Guide • 10 min read
Complete preparation guide for Data Analyst at EXL
As a Data Analyst at EXL, you will play a critical role in ensuring the accuracy and quality of data across various pipelines and datasets. Your primary responsibility will be to validate data for completeness, accuracy, and consistency, and identify discrepancies using SQL queries and agentic AI tools.
✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 8 Jul 2026
Required Skills Explained
SQL
Why required: SQL is a fundamental skill required for data analysis and validation. You will use SQL to query, validate, and identify defects in data.
How recruiters evaluate: The recruiter will evaluate your SQL skills through hands-on exercises or technical interviews.
- SQL Tutorial by W3Schools
- SQL Course by Coursera
- SQL Certification by Oracle
Data Validation Concepts
Why required: Data validation concepts are essential to ensure the accuracy and quality of data. You will need to understand schema checks, data types, null handling, and referential integrity to validate data effectively.
How recruiters evaluate: The recruiter will evaluate your understanding of data validation concepts through technical interviews or written tests.
- Data Validation Tutorial by DataCamp
- Data Quality and Validation by edX
- Data Validation Concepts by IBM
Agentic AI Tools
Why required: Agentic AI tools like Claude and Cursor are used to enhance productivity and generate test coverage. You will need to be willing to learn and use these tools to assist in data validation.
How recruiters evaluate: The recruiter will evaluate your willingness to learn and use agentic AI tools through behavioral interviews.
- Claude Tutorial by EXL
- Cursor Tutorial by EXL
- Agentic AI Tools by Coursera
Who Should Apply
freshers
Freshers with a strong foundation in SQL and data validation concepts are encouraged to apply.
experienced
Experienced professionals looking to transition into a data analyst role may also apply.
graduates
Graduates with a degree in Computer Science, Information Technology, or related fields are eligible to apply.
btech
B.Tech graduates with a specialization in Computer Science or Information Technology are preferred.
mca
MCA graduates with a specialization in Computer Science or Information Technology are also eligible.
diploma
Diploma holders with relevant work experience may also apply.
Typical Hiring Process
- Round 1: Technical Interview: SQL and data validation concepts will be evaluated through a technical interview.
- Round 2: Behavioral Interview: Your willingness to learn and use agentic AI tools will be evaluated through a behavioral interview.
- Round 3: Final Interview: A final interview with the hiring manager to discuss your fit for the role and the company.
Resume Tips for This Role
- Highlight your SQL skills and experience.
- Emphasize your understanding of data validation concepts.
- Mention any experience with agentic AI tools or willingness to learn.
Interview Preparation Tips
- Be prepared to answer technical questions on SQL and data validation concepts.
- Show enthusiasm and willingness to learn agentic AI tools.
- Highlight your problem-solving skills and ability to think critically.
Possible Interview Questions (8)
- What is your experience with SQL?
- How do you validate data for accuracy and consistency?
- Can you explain the concept of referential integrity?
- How do you handle null values in a dataset?
- Can you write a SQL query to identify data discrepancies?
- How do you think agentic AI tools can enhance data validation?
- Can you explain a time when you had to troubleshoot a data quality issue?
- How do you stay up-to-date with new technologies and tools in data analysis?
Salary Insights (India)
Industry range
The average salary for a data analyst in India is ₹6-12 LPA.
Freshers
Freshers can expect a salary range of ₹4-8 LPA.
Experienced
Experienced professionals can expect a salary range of ₹10-20 LPA.
The salary growth for data analysts in India is expected to be 10-15% per annum.
Career Path Roadmap
1
Senior Data Analyst↓
With 2-3 years of experience, you can move into a senior data analyst role and lead data analysis projects.
2
Data Scientist
With 4-5 years of experience, you can move into a data scientist role and work on complex data analysis projects.
Why This Opportunity Is Worth Considering
- Opportunity to work with a leading operations management and analytics company.
- Chance to develop your skills in data analysis and validation.
- Collaborative work environment and opportunities for growth.
Things To Know Before Applying
- EXL is a global company with a strong presence in India.
- The company offers a range of benefits, including health insurance and retirement plans.
- The work environment is collaborative and dynamic.
Recommended Courses
SQL Tutorial by W3Schools
W3Schools
To develop your SQL skills.
Data Validation Tutorial by DataCamp
DataCamp
To understand data validation concepts.
Career Advice
To succeed in this role, focus on developing your SQL skills, understanding data validation concepts, and being willing to learn agentic AI tools.
Editorial Note: This is a great opportunity for freshers and experienced professionals to develop their skills in data analysis and validation.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked
Frequently Asked Questions
The salary range for this role is ₹6-12 LPA.
The required skills for this role are SQL, data validation concepts, and agentic AI tools.
The work environment is collaborative and dynamic.
Similar Roles to Explore
Data AnalystBusiness AnalystOperations Analyst
Related Career Resources
Reference Only
Original Job Description
The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.
Job Description
About the job
We are mainly looking for Data Validation Engineer with following skills:
Responsibilities:
Validate data for completeness, accuracy, and consistency across pipelines and datasets.
Verify data types, formats, and schema against expected templates and data contracts.
Write and execute SQL queries to identify data discrepancies and quality issues.
Use agentic tools like Claude and Cursor to assist in generating test cases, reviewing queries, and automating validation steps.
Understand and translate business requirements into testable data validation rules.
Document and report defects clearly and collaborate with development teams to drive resolution.
Required Skills:
Strong, hands-on SQL skills for querying, validation, and defect identification.
Good understanding of data validation concepts — schema checks, data types, null handling, and referential integrity.
Willingness to use Claude, Cursor, or similar agentic AI tools to enhance productivity and generate test coverage.
Ability to think from a business domain perspective — validating not just technical accuracy but real-world data sense.
Candidate Profile:
Strong learning ability and willingness to upskill
Good communication skills
Freshers with the required fundamentals are encouraged to apply