Critical Risk
0/100
Danger Risk

High-confidence scam detected

Analysis Confidence80%

Based on 3 signals across 2 inspection layers

Warn Others

This report is public. Sharing it helps protect other job seekers from this scam.

⚠️ Scam detected: naukri.com scored 100/100 on VeriJob’s fraud detector. 1 critical red flag found. Don’t appl…

Signal Distribution

1 CRIT
2 INFO

Inspection Layers

Domain Layer
Threat Intel
Mar 22, 2026, 08:34 PM UTC
https://www.naukri.com/job-listings-data-analyst-fresher-data-analytics-apex-engineering-solutions-hyderabad-bengaluru-delhi-ncr-0-to-1-years-190326013455?utmcampaign=androidjd&utmsource=share&src=sharedjd
4AC683C1
Immediate Action RequiredCRITICAL

Stop. Do not share any personal documents, bank details, or payments with this contact. Report the post and block the sender.

  • 01Do not respond further to the recruiter
  • 02Do not deposit any cheques they send you
  • 03Report the job post to the platform it was on
  • 04Report to FTC at reportfraud.ftc.gov
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Forensic Breakdown

3 signals analyzed across 2 inspection layers

Domain Intelligence

naukri.com

Registered Domain

Total Scans

2

Avg Threat Score

88

Full Domain Intelligence Report

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Submitted Description
Job description

What you'll do

Job description

We are looking for Data Analyst Freshers, Data Analytics fresher to join our growing team. This is an excellent opportunity for recent graduates who are passionate about data, problem-solving, and business insights.

Job Role- Data Analyst Fresher

Experience: 0- 1 Year Employment Type: Full-Time

Key Responsibilities:

Collect, clean, and analyze structured and unstructured data

Interpret data trends and patterns to generate actionable insights

Create reports, dashboards, and data

visualizations

Support business teams with analytical requirements

Perform data validation and quality checks

Skills Required:

Basic computer knowledge

Basic Excel knowledge (preferred)

Methodology: VeriJob analyzes domains, TLS certificates, DNS records, content patterns, and reputation databases using a weighted signal model. Scores are probabilistic estimates, not legal verdicts.

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Scans are anonymous · Names redacted · IP never stored