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🚀 EXL Data Analyst (Data Validation Engineer) Recruitment 2026 in Pune | Freshers Eligible | SQL Jobs | Apply Now | Placement Officer
📌 Detailed Summary
Looking to start your career in
Data Analytics, SQL, and Data Validation? Here's some exciting news! EXL
has opened applications for the role of Data Analyst (Data Validation
Engineer) in Pune, Maharashtra. This opportunity is ideal for fresh
graduates who possess strong SQL fundamentals, analytical thinking, and an
eagerness to work with modern AI-powered tools like Claude and Cursor.
The company is specifically
encouraging freshers with the right technical fundamentals and learning
mindset to apply. If you're passionate about data quality, business analytics,
databases, and AI-assisted testing, this role can become an excellent stepping
stone into the analytics industry.
🎯 EXL Data Analyst Recruitment 2026 – Freshers Hiring in Pune
📍 Job Overview
|
Particular |
Details |
|
Company |
EXL |
|
Job Role |
Data Analyst
(Data Validation Engineer) |
|
Job Type |
Full-Time |
|
Experience |
Freshers
Eligible |
|
Location |
Pune,
Maharashtra |
|
Department |
Data
Analytics / Data Validation |
|
Qualification |
Bachelor's
Degree (Preferred: B.E., B.Tech, BCA, MCA, B.Sc, M.Sc, Computer Science, IT,
Data Analytics or related fields) |
|
Batch
Eligible |
2023, 2024,
2025 & 2026 Passouts (Based on Fresher Eligibility Mentioned) |
|
Salary |
₹5 LPA – ₹8.5 LPA (Expected) |
|
Work Mode |
On-site
(Pune) |
🌟 Why This Opportunity is Special?
Unlike traditional Data Analyst
roles, this position combines:
✅ SQL Development
✅ Data Validation
✅ Business Analysis
✅ AI-assisted Testing
✅ Data Quality Engineering
This makes it one of the most
future-proof entry-level analytics jobs available for fresh graduates.
💼 Detailed Job Description
As a Data Validation Engineer,
your primary responsibility will be ensuring that business data remains accurate,
reliable, and consistent across different systems.
You will collaborate with
development teams, understand business requirements, execute SQL validations,
identify defects, and use AI-powered productivity tools to improve testing
efficiency.
This role provides excellent
exposure to modern data engineering workflows.
📌 Key Responsibilities
✅ Data Validation
·
Validate data
for completeness
·
Verify data
accuracy
·
Ensure
consistency across databases
·
Check data
integrity
✅ SQL Query Execution
·
Write SQL
queries
·
Validate
datasets
·
Detect data
inconsistencies
·
Identify
missing records
·
Compare source
and target datasets
✅ Schema Validation
You will verify:
·
Data Types
·
Schema Mapping
·
Column
Validation
·
Format
Validation
·
Data Contracts
✅ Business Rule Validation
Understand business requirements
and ensure that datasets make logical business sense instead of only technical
correctness.
✅ AI-assisted Productivity
Use modern AI tools such as:
·
Claude
·
Cursor
to
·
Generate SQL
queries
·
Create
validation test cases
·
Improve
testing efficiency
·
Review
validation logic
✅ Defect Reporting
·
Document
issues
·
Report defects
·
Coordinate
with developers
·
Verify fixes
🎯 Required Skills
EXL is looking for candidates
having strong fundamentals.
Technical Skills
✔ SQL
✔ Database Concepts
✔ Data Validation
✔ Data Quality
✔ Data Types
✔ Schema Validation
✔ Referential Integrity
✔ Null Handling
✔ Data Pipelines
✔ Testing Concepts
✔ Business Logic Validation
✔ AI Productivity Tools
🌟 Preferred Skills
·
MySQL
·
PostgreSQL
·
Oracle SQL
·
SQL Server
·
Excel
·
Analytical
Thinking
·
Problem
Solving
·
Debugging
·
Basic Data
Analytics
·
AI Prompting
🤖 AI Tools Knowledge
Knowledge of these tools will
provide an advantage.
·
Claude
·
Cursor
·
GitHub Copilot
·
ChatGPT
·
AI-assisted
SQL Generation
🎓 Educational Qualification
Candidates from the following
streams can apply:
·
B.E.
·
B.Tech
·
BCA
·
MCA
·
B.Sc
·
M.Sc
·
Computer
Science
·
Information
Technology
·
Data Science
·
Statistics
·
Mathematics
Freshers with good SQL knowledge
are highly encouraged.
🎓 Batches Eligible
Based on the job description
mentioning Freshers are encouraged to apply, the expected eligible
batches include:
✅ 2023
✅ 2024
✅ 2025
✅ 2026
📍 Job Location
🏢 Pune, Maharashtra
Candidates willing to relocate to
Pune should definitely consider applying.
💰 Expected Salary
Based on similar entry-level Data
Analyst and Data Validation Engineer roles in Pune, the expected annual
compensation is:
|
Experience |
Expected Salary |
|
Freshers |
₹5 LPA – ₹8.5 LPA |
|
High
Performers |
Up to ₹10 LPA (CTC depending upon skills and interview
performance) |
Salary estimates are based on
comparable industry hiring trends and may vary depending on qualifications,
interview performance, and company compensation policies.
🚀 Essential Skills to Get Selected
Candidates should focus on
mastering:
⭐ Advanced SQL Queries
⭐ JOIN Operations
⭐ GROUP BY
⭐ Window Functions
⭐ Aggregate Functions
⭐ Database Normalization
⭐ Primary Keys
⭐ Foreign Keys
⭐ Data Integrity
⭐ Data Validation
⭐ Data Cleaning
⭐ Business Analytics
⭐ Excel
⭐ Logical Thinking
⭐ Communication Skills
⭐ AI Tools
🔥 Pro Tips to Crack EXL Interview
✅ Practice SQL daily on HackerRank
or LeetCode.
✅ Learn different JOIN operations
thoroughly.
✅ Understand NULL handling.
✅ Learn Schema Validation.
✅ Practice writing optimized SQL
queries.
✅ Study Data Warehousing basics.
✅ Build SQL projects.
✅ Learn Excel shortcuts.
✅ Understand Business Scenarios.
✅ Learn AI tools like Claude and
Cursor before the interview.
🎯 Possible Interview Questions
SQL
·
Difference
between INNER JOIN and LEFT JOIN?
·
Explain GROUP
BY.
·
What are
Window Functions?
·
How do you
remove duplicate records?
·
Difference between
WHERE and HAVING?
Data Validation
·
What is
Referential Integrity?
·
What is Schema
Validation?
·
Explain Null
Handling.
·
What is Data
Quality?
HR
·
Why EXL?
·
Why Data
Analytics?
·
Explain one
SQL project.
·
Tell us about
yourself.
🌟 Why Freshers Should Apply?
✔ Strong Career Growth
✔ Analytics Domain Exposure
✔ SQL Expertise
✔ AI Tool Exposure
✔ Excellent Learning Environment
✔ Business Intelligence Exposure
✔ High Demand Skill Set
📈 Career Growth
This role can lead to:
·
Data Analyst
·
Business
Analyst
·
Data Engineer
·
Analytics
Consultant
·
BI Developer
·
Data Quality
Engineer
·
SQL Developer
❓Frequently Asked Questions (FAQs)
Q1. Is EXL hiring freshers?
Yes. The job description
specifically encourages freshers with strong SQL fundamentals to apply.
Q2. What is the job location?
Pune, Maharashtra.
Q3. Which batches are eligible?
Expected eligible batches are 2023,
2024, 2025, and 2026.
Q4. Is SQL mandatory?
Yes. Strong hands-on SQL skills are
one of the primary requirements.
Q5. Which AI tools should I know?
Basic familiarity with Claude,
Cursor, ChatGPT, or similar AI productivity tools will be beneficial.
Q6. What is the expected salary?
Approximately ₹5 LPA to ₹8.5 LPA for
freshers, depending on skills and interview performance.
Q7. Is prior experience required?
No. Freshers with strong
fundamentals are encouraged to apply.
🎯 Why You Should Apply Today
If you have been learning SQL, databases, and data analytics, this is one of the best opportunities to begin your professional journey. EXL's emphasis on modern AI tools, business understanding, and data quality makes this role highly relevant in today's analytics landscape. Applying early can improve your chances, as hiring processes often review applications on a rolling basis.
🏁
Conclusion
The EXL Data Analyst (Data Validation Engineer)
role offers an excellent launchpad for graduates looking to build a career in Data
Analytics, SQL, Data Validation, and AI-assisted testing. With a strong
learning environment, exposure to real-world business data, and opportunities
to develop in-demand technical skills, this position is well-suited for
ambitious freshers. If you have solid SQL fundamentals, analytical thinking,
and a willingness to learn, don't miss this opportunity—prepare your resume,
strengthen your SQL skills, and apply as soon as possible.
🔗 Apply Link: Click
Here To Apply for EXL
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
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