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Job Description

Overview

National Law University Delhi (NLU Delhi) is currently seeking a dedicated professional for the position of Data Analyst. This role is essential for supporting ongoing research initiatives within the institution, specifically focusing on large-scale data analysis. The selected candidate will contribute to high-impact projects, ensuring data integrity and providing analytical insights that drive academic and policy-oriented outcomes.

Key Responsibilities

  • Perform complex statistical analysis on large-scale survey or administrative datasets to support research objectives.
  • Utilize advanced software tools such as Stata, R, SPSS, or Python to conduct descriptive, bivariate, and multivariate analyses.
  • Collaborate with research teams to clean, manage, and interpret data collected through various digital platforms.
  • Construct composite indices and maintain high standards of data quality throughout the research lifecycle.
  • Ensure strict adherence to research ethics, data protection protocols, and secure data management practices.
  • Prepare detailed reports and documentation based on analytical findings to assist in academic publications and policy reports.

Why Apply

This position offers a unique opportunity to work within a premier legal research environment, providing exposure to significant judicial datasets. The role provides a competitive monthly remuneration and the chance to work on impactful projects that influence public policy and legal discourse.

Important Dates

  • Application Deadline: 15 November 2026
  • Engagement Start Date: 1 December 2026

Quick Facts

  • Vacancy: 1 Post
  • Pay: ₹70,000 per month
  • Location: Delhi NCR
  • Category: Other Jobs

NLU Delhi Data Analyst Recruitment 2026 Overview

End Date
15 Nov 2026
Salary
₹70,000 /month
Vacancies
1
Eligibility
Graduate

Vacancy Details

  • Data Analyst: 1 Post

How to Apply

  1. Prepare an updated Curriculum Vitae (CV) highlighting relevant experience.
  2. Draft a writing sample that demonstrates your analytical and reporting capabilities.
  3. Write a Statement of Purpose (SoP) of exactly 500 words detailing your interest and suitability for the role.
  4. Compose an email with a formal cover letter in the body.
  5. Use the mandatory subject line: 'Data Analyst Application - Ease of Justice Study'.
  6. Attach the CV, writing sample, and SoP to the email.
  7. Send the complete application to the official email address provided by NLU Delhi on or before 15 November 2026.
  8. Retain a copy of the sent email for your personal records and future reference.

Application Fee

No application fee is mentioned in the official notification.

Age Limit

Not specified in the official notification.

Selection Process

The selection process for the Data Analyst position at NLU Delhi involves a thorough review of the submitted applications. Candidates are required to submit an updated CV, a writing sample, and a 500-word Statement of Purpose (SoP). The selection committee will evaluate these documents to assess the candidate's technical expertise, research experience, and alignment with the project requirements. Shortlisted candidates may be contacted for further assessment or an interview process to finalize the appointment.

Exam Pattern

Not applicable as this is a direct recruitment based on application review and document evaluation.

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Organization

National Law University Delhi (NLUD) is a premier law university established in 2008 in New Delhi. It functions under the mandate of providing high-quality legal education and fostering research in the field of law. The university is known for its rigorous academic standards and its contribution to legal policy and research in India. It operates under the guidance of the Delhi government and is recognized as a leading institution for legal studies and research in the country.

Frequently Asked Questions

The last date to submit your application for the Data Analyst position is 15 November 2026. Ensure your email is sent before this deadline to be considered for the role. It is recommended to send your application well in advance to avoid any last-minute technical issues.

There is 1 vacancy available for the Data Analyst position at NLU Delhi. As this is a single-post recruitment, competition may be high, so ensure your application documents are thorough and well-prepared. Check the official notification for any further updates regarding the vacancy status.

To apply, you must email your updated CV, a writing sample, and a 500-word Statement of Purpose (SoP) to the official email address provided by NLU Delhi. Include a cover letter in the email body and use the subject line: 'Data Analyst Application - Ease of Justice Study'. There is no online application form.

The selected candidate will receive a monthly remuneration of ₹70,000. The final pay is determined based on the candidate's qualifications and relevant professional experience. This is a contractual, project-based engagement for a duration of one year.

You must hold a Bachelor's degree in Statistics, Economics, Data Science, Public Policy, Sociology, or a related quantitative discipline with at least 55% marks or equivalent CGPA. A Master's or higher degree in these fields is considered a desirable qualification for this role.

Yes, a minimum of 3 years of experience in analyzing large-scale survey or administrative data is required. Additionally, proficiency in statistical software such as Stata, R, SPSS, or Python is mandatory. Experience with digital data collection platforms is also highly preferred.

This is a contractual engagement for a duration of one year, starting from 1 December 2026 and ending on 31 August 2027. The role is project-based, and the remuneration is commensurate with the candidate's qualifications and experience. Review the official notification for detailed terms and conditions.

The posting for this Data Analyst position is in Delhi NCR. Candidates should be prepared to work from the NLU Delhi campus or designated project locations within the Delhi NCR region. Please ensure you are comfortable with this location before applying.
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