Virtusa Data Analyst Jobs Hyderabad 2026 | SQL & Tableau

Virtusa Hiring Data Analyst in Hyderabad | Latest IT Jobs 2026

Are you a fresh graduate or experienced professional skilled in SQL and data analysis? Virtusa is launching a major recruitment drive for Data Analyst roles in Hyderabad. This is your chance to join a global IT leader in 2026.

Virtusa Careers are booming with opportunities in AI and machine learning data handling. The Data Analyst – Apply Now position focuses on high-impact work with large datasets for ML models. Perfect for those eyeing Latest IT Jobs 2026 in India’s tech hubs.

With onsite work in Hyderabad and roles open to freshers and experienced candidates, this hiring push signals strong growth. Don’t miss out—applications are live now.

About Virtusa

Virtusa is a leading global IT services company specialising in digital engineering and technology consulting. Headquartered in Massachusetts, USA, it has a massive presence in India with offices in Hyderabad, Chennai, and Bangalore. The firm serves Fortune 500 clients in banking, healthcare, and telecom.

In India, Virtusa employs over 20,000 professionals and is known for innovation in AI, cloud, and data analytics. It consistently ranks among top IT employers for its employee-friendly policies and cutting-edge projects. Virtusa Careers attract top talent due to its focus on scalable solutions.

The company’s reputation in India stems from rapid expansion and partnerships with tech giants. It invests heavily in upskilling, making it ideal for career growth in data roles.

Job Overview

• Role: Data Analyst for Scaled Evaluations
• Location: Hyderabad, India (Onsite)
• Experience: Fresher / Experienced (Graduate / Engineering / Post Graduate)
• Salary: As per company standards
• Employment Type: Full Time
• Requisition ID: creq256385

Key Responsibilities

• Write complex SQL queries using PLX or BigQuery to extract, transform, and analyse evaluation data from massive datasets.
• Manage data pipelines for smooth flow of evaluation tasks in JSON/CSV formats to vendors and back into the system.
• Design and maintain dynamic dashboards in Looker, Tableau, or similar tools to track KPIs like Rater Throughput, Average Handling Time (AHT), and Quality Scores.
• Analyse Inter-Rater Reliability (IRR) and “Golden Set” performance to spot discrepancies and ambiguous guidelines.
• Perform root cause analysis on low-quality data batches, identifying rater errors, tooling bugs, or guideline issues.
• Curate “Golden Sets” (Ground Truth data) for testing rater accuracy and refine training materials based on insights.
• Monitor datasets for sensitive or offensive content anomalies to ensure safety governance and robust filtering.
• Bridge raw operational data with engineering actionable insights for Search and AI model development.
• Proactively identify edge cases that could degrade model performance.
• Collaborate with Program Managers to improve evaluation workflows using data-driven strategies.

Required Skills and Qualifications

• Bachelor’s degree in Data Science, Statistics, Computer Science, or equivalent practical experience.
• Proficiency in SQL, including joins, window functions, and aggregate data for reporting.
• Experience with data visualization tools like Looker, Tableau, or PowerBI.
• Strong analytical skills to translate raw data into strategic operational recommendations.
• Comfortable handling sensitive data with attention to quality and integrity.
• Experience in data pipelines (JSON, CSV) and querying tools like BigQuery or PLX.
• Knowledge of ML evaluation metrics like Inter-Rater Reliability (IRR).
• Basic understanding of AI model training data requirements.

Expected Salary for Data Analyst in Hyderabad

For Data Analyst roles in Hyderabad, freshers can expect 4-8 LPA, while those with 2-5 years of experience often see 10-18 LPA. Mid-level professionals with SQL and visualisation expertise command 20-25 LPA. These figures align with Virtusa’s competitive pay structure in IT hubs.

Factors like experience, certifications, and negotiation skills influence pay. Hyderabad offers slightly lower costs than Bangalore but strong demand drives salaries up. In Pune and NCR, expect 10-15% higher due to living expenses; Mumbai tops at 20% premium, while Bangalore matches Hyderabad closely.

Data Analyst Salary in India varies by company scale—Tier-1 firms like Virtusa pay above market averages. Focus on showcasing SQL proficiency and dashboard skills to maximise offers in Latest IT Jobs 2026.

Skills That Can Increase Your Salary

• Google Data Analytics Certificate: Builds foundational skills in SQL, R, and Tableau, boosting entry-level pay by 20%.
• Tableau Desktop Specialist: Proves visualisation expertise, adding 3-5 LPA for mid-level roles.
• AWS Certified Data Analytics: Cloud data skills open high-paying onsite opportunities, up to 30% hike.
• Python for Data Analysis (Pandas, NumPy): Essential for advanced querying, increases offers by 4-6 LPA.
• Power BI Data Analyst Associate: Microsoft tool mastery leads to 15-25% salary uplift in IT firms.
• SQL Advanced Certification (Datacamp/Udacity): Window functions mastery commands premium pay in analytics teams.

Why Join Virtusa?

Virtusa offers exposure to global AI and ML projects, ideal for Data Analyst growth. Its focus on scaled evaluations means hands-on work with cutting-edge tech.

The company boasts a strong culture of innovation and upskilling in India. Employees enjoy collaborative environments and opportunities to impact Fortune 500 clients.

With onsite Hyderabad roles, expect work-life balance perks and career progression paths. Virtusa’s brand value enhances your resume for future moves.

High retention and internal mobility make it a top pick for stable IT careers.

How to Prepare for the Data Analyst Interview

Start with technical prep: Master SQL queries, joins, and window functions—expect live coding on BigQuery-like platforms. Practice building dashboards in Tableau or Looker with sample KPI data.

Research Virtusa’s AI evaluation projects and ML data challenges. Prepare for root cause analysis questions using real-world scenarios like IRR discrepancies.

HR rounds focus on behavioural fit—highlight analytical mindset and teamwork. Mock interviews via platforms help with common formats: 2-3 technical rounds, followed by managerial discussion.

Brush up on resume projects involving data pipelines or Golden Sets. Stay updated on 2026 trends like AI safety governance.

Selection Process

Virtusa’s hiring for Data Analyst typically includes an online assessment testing SQL and analytics. Followed by 2-3 technical interviews on querying, visualisation, and problem-solving.

Managerial round assesses fit for onsite Hyderabad role. HR finalises offer with background checks. Process takes 2-4 weeks.

How to Apply

Apply Here: Apply on the Official Website

Click the link to submit your application directly. Tailor your resume with SQL and data viz keywords. Join their WhatsApp/Telegram for updates.

Applications are open to freshers and experienced—act fast for this 2026 drive.

Frequently Asked Questions

Am I eligible for Virtusa Data Analyst role as a fresher?

Yes, graduates in Data Science, Stats, or CS with SQL basics qualify. Practical experience helps but freshers are welcome.

What is the Data Analyst Salary at Virtusa?

Expect 4-8 LPA for freshers, 10-25 LPA for experienced. Varies by skills and negotiation in Hyderabad.

Is this role remote or onsite?

Onsite in Hyderabad. No remote option mentioned for this recruitment drive.

What are the must-have skills for this job?

SQL proficiency, data visualisation (Tableau/Looker), and analytical mindset. ML data knowledge is a plus.

What is the interview process like?

Online test, 2-3 technical rounds on SQL/dashboards, managerial, and HR. Takes 2-4 weeks.

When can I expect to join if selected?

Typically 1-2 months post-offer, subject to background checks and notice period.

Is there any bond or service agreement?

Virtusa usually has no bond for analysts, but check offer letter for specifics.

What is the career growth path?

Progress to Senior Analyst, Data Scientist, or Manager roles with AI/ML exposure in 2-5 years.

Disclaimer

This article is for informational purposes only. Job details are sourced from the official job posting. Please verify all details on the official company website before applying. We are not responsible for any changes in job requirements or application process.