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Skilled Data Analyst

Innefu Labs - New Delhi, Delhi

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Job Description

Job Title : Skilled Data Analyst Location : New Delhi Job Type : Full-time Experience : 2- 5 Years Department : Intelligence / Cyber Forensics / Data Analytics Salary: Upto 4.8 LPA Job Summary We are seeking a Skilled Analyst with a strong background in data and intelligence analysis. The ideal candidate will possess experience in OSINT, CDR/IPDR, financial auditing, digital forensics, and dark web intelligence. The role involves handling various types of data, conducting thorough analysis, and preparing accurate reports to support investigations and strategic decisions. Key Responsibilities Perform Open-Source Intelligence (OSINT) collection and analysis. Analyse Call Detail Records (CDR) and Internet Protocol Detail Records (IPDR) . Conduct financial audits and forensic analysis of financial data. Perform digital forensic examinations on various devices and platforms. Analyse data from sources including the dark web , to extract meaningful intelligence. Prepare trend analyses , intelligence reports, and dashboards. Design and maintain structured databases for efficient analysis and reporting. Collaborate with cross-functional teams to derive actionable insights. Ensure the confidentiality and integrity of data and reports. Proficient in PowerBi, Advance Excel, SQL, Linux Required Qualifications Educational Background : Graduate in one of the following fields: B.C. A / B.E. / B.Tech B.Sc. (Physics / IT / Mathematics / Statistics) B.A. (Mathematics) B. Com Or an equivalent degree with a strong academic record. Professional Experience : Minimum 2 years in Data Analysis or Business Analysis . Preferred Skills Strong analytical and problem-solving skills. Hands-on experience with CDR/IPDR and OSINT tools. Familiarity with digital forensic tools and techniques. Ability to analyze large datasets and derive patterns. Understanding of dark web environments and data extraction. Proficiency in report writing and communication. Knowledge of database systems and data visualization tools is a plus.

Created: 2025-07-14

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