Virtusa Recruitment Drive; Hiring Data Analyst – Apply Now

Data Analyst Job Openings in Hyderabad 2026!!!

Virtusa announced job vacancy for the post of Data Analyst. The place of posting will be at Hyderabad. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Virtusa
Required Qualifications	Graduate
Skills	Proficiency in SQL
Category	Data Analysis
Work Type	Onsite

The Data Analyst for Scaled Evaluations is a key technical owner responsible for the integrity, quality, and analytical insights of large-scale human-generated datasets used to train and evaluate Machine Learning models. This role involves querying massive datasets, building visualizations to monitor rater performance, and identifying systemic issues in evaluation workflows. This role will serve as the bridge between raw operational data and engineering actionable insights, ensuring high-quality inputs for Search and AI model development.

Job Details

Θ Positions: Data Analyst

Θ Job Location: Hyderabad

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: creq256385

Roles and Responsibilities:

• Data Querying & Management: Write complex SQL queries (PLX, BigQuery) to extract, transform, and analyze evaluation data. Manage data pipelines to ensure the smooth flow of evaluation tasks (JSON, CSV) to vendors and the ingestion of results back into the system.
• Quality Metrics & Dashboarding: Design and maintain dynamic dashboards (Looker, Tableau, or similar) to track core Operational KPIs: Rater Throughput, Average Handling Time (AHT), and Quality Scores. Analyze Inter-Rater Reliability (IRR) and "Golden Set" performance to identify discrepancies and ambiguous rater guidelines.
• Root Cause Analysis: Perform deep-dive analysis on low-quality data batches. Identify whether issues stem from rater error, tooling bugs, or ambiguous guidelines, and proactively identify edge cases that may degrade model performance.
• Golden Set & Training Strategy: Use data insights to curate "Golden Sets" (Ground Truth data) used for testing rater accuracy. Collaborate with Program Managers to refine training materials based on data-driven identification of common rater errors.
• Content Safety Governance: Monitor datasets for sensitive or offensive content anomalies, ensuring robust filtering and adherence to safety guidelines.

Required Skills & Qualifications:

• Bachelor’s degree in a quantitative field (Data Science, Statistics, Computer Science) or equivalent practical experience.
• Proficiency in SQL: Ability to write joins, window functions, and aggregate data for reporting.
• Experience with data visualization tools (Looker, Tableau, PowerBI).
• Strong analytical skills with the ability to translate raw data into strategic operational recommendations.
• Comfortable handling sensitive

How to Apply

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