Role Overview
Cognyte is hiring a mid-level NI Pune Q2 26 - Data Forensic Analyst. This is a full-time role in IN. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
As a Cognyter you will:
- We’re looking for an analyst to examine encrypted raw network data, extract TLS and IP-level metadata, and identify patterns or trends within complex data streams.
- You’ll build analysis pipelines and ensure the accuracy of detection methods using well-defined evaluation metrics.
- Candidates must demonstrate strong knowledge of network protocols, hands-on experience with packet capture analysis, and solid data analysis or machine learning skills.
- You will gain crypto domain expertise and be responsible for developing a Blockchain analytics product.
Requirements
For that mission you’ll need:
- Bachelor’s degree – Computer Science / Information technology
- Total 5 + Years experience.
- Having 2+ experience into Network Data Engineer/ Network Engineer with knowledge of Data Analysis
- Hands-on technical leadership experience, guiding task distribution, tracking progress, and resolving implementation blockers
- Experience/ Knowledge in network traffic forensics or application traffic analysis,
- Deep understanding of network protocols (Ethernet, IP, TCP, UDP, DNS, HTTPS, etc.)
- Familiarity with TLS internals
- Working with network traffic data to extract meaningful characteristics or patterns from packet streams
- Knowlege Wireshark/tshark, Network Sniffers and protocol dissectors
- Experience with Python or any other language for scripting and automation would be plus
- Attention to detail and a high standard of data handling
- Highly committed and responsible, independent and able to take initiative
- Flexible and easy to adapt working on multiple technical contexts
- Able to work in a dynamic environment
- Previous experience in a SCRUM team
- Fluent English
Nice to have
- AI models knowledge
- Research-level machine learning expertise
- Experience creating labeled datasets and synthetic capture generation
- Experience with NoSQL databases (e.g., MongoDB)
- Experience with CI/CD solutions (e.g., Jenkins, TeamCity, Gitlab CI)
- Understanding the SDLC – software Dev. lifecycle -> being part from designing to execution -> writing tests, executing, open bugs.
Frequently Asked Questions
How do I apply for the NI Pune Q2 26 - Data Forensic Analyst position at Cognyte?
Use the Apply button above to submit your application directly to Cognyte. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the NI Pune Q2 26 - Data Forensic Analyst position at Cognyte located?
This position is based in IN. Cognyte has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a NI Pune Q2 26 - Data Forensic Analyst at Cognyte earn?
Cognyte has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the NI Pune Q2 26 - Data Forensic Analyst role at Cognyte posted?
This role was posted on April 23, 2026 (53 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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