Data Analyst

Persistent Systems

📍Pune City, Maharashtra, India
Posted May 22, 2026
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Job Overview

Position

Data Analyst

Company

Persistent Systems

Location

Pune City, Maharashtra, India

Work Type

On-site

Job ID

li-4414076877

Job Description

About Position:

The Data Analyst ensures business and clinical validation of BigID discovery and classification outcomes. Data Analyst supports Data Architect in understanding the data architecture, data flows, archival and deletion dependencies and prerequisites.

  • Role: Data Analyst

  • Location: All Persistent locations

  • Experience: 5-8years

  • Job Type: Full Time Employment

What You'll Do:

  • Validate sensitive data identification (PHI, PII) with business, compliance, and clinical stakeholders.

  • Review classification accuracy, false positives, and false negatives.

  • Provide business context to support refinement of entity definitions and policies.

  • Facilitate data owner sign‑offs during readiness and implementation phases.

Expertise You'll Bring:

  • SQL & Data Analysis expertise

  • ETL & Data transformation skills

  • Strong data modeling & reporting capabilities

  • Business requirement analysis & stakeholder communication

  • Python & Cloud exposure (preferred)

Benefits:

  • Competitive salary and benefits package

  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications

  • Opportunity to work with cutting-edge technologies

  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards

  • Annual health check-ups

  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

  • We support hybrid work and flexible hours to fit diverse lifestyles.

  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.

  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let’s unleash your full potential at Persistent - persistent.com/careers

*“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”*

✦

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you use SQL to validate the accuracy of a data classification tool's output, specifically looking for false positives and false negatives in PII identification?
  • 2.Can you explain how you would analyze data flows, archival, and deletion dependencies when supporting a Data Architect in a compliance-driven environment?
  • 3.What is your approach to refining entity definitions and classification policies when business stakeholders report inaccurate sensitive data discovery outcomes?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to validate sensitive data identification with both technical and clinical or business stakeholders. How did you bridge the gap?
  • 2.Describe a situation where you had to review a high volume of data classification results and found a significant number of false positives. How did you handle it?
  • 3.Give an example of how you facilitated data owner sign-offs during a critical implementation phase despite initial resistance.
🧩Situational Questions (2)
  • 1.You are reviewing BigID discovery outcomes and notice that a critical database containing patient records has zero PII/PHI flagged, while a similar database has thousands of flags. What do you do?
  • 2.A compliance stakeholder wants to immediately delete all data flagged as PII by the discovery tool, but the Data Architect warns that deletion will break a critical ETL pipeline. How do you handle this?

Resume Keywords

Make sure these keywords appear on your resume

BigIDPIIPHIData ClassificationSQLETLData ModelingFalse PositivesData LineageStakeholder ManagementCompliancePython

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