Sr. Analyst (Research)

National Skill Development Corporation; Delhi; On-site; INR 900,000 - 1,500,000; Full time

Job summary

NSDC invites applications for a Research Conceptualisation & Design role to frame research questions, develop theoretical frameworks, and plan sampling strategies for skill ecosystem studies.

The role covers data collection, data management and analysis using R, Python, Stata, and PowerBI, with emphasis on ethics, reporting, and stakeholder engagement. Masters or above in Economics/Statistics/Data Science preferred; engineers with relevant background also welcome.

Qualifications

• Masters or above in Economics, Statistics, Data Science
• Engineers with Data Science, Machine Learning, Data Analytics
• Social Science background considered on merit

Responsibilities

• Conceptualisation and design of research projects in skill ecosystems
• Data collection planning and fieldwork oversight
• Data management, cleaning, and analysis using statistical tools
• Interpretation, reporting, and dissemination of findings to stakeholders
• Ensuring research ethics, privacy, and governance during studies
• Stakeholder engagement and policy translation for knowledge dissemination

Skills

Data analysis

Research methodology

Communication

Project management

Multilingual competence

Education

Master's degree or above in Economics/Statistics/Data Science

Engineering with Data Science/ML/Analytics

Social science background considered

Tools

R

Python

Stata

PowerBI

Excel

PowerPoint

Job description

At the National Skill Development Corporation (NSDC), we are dedicated to empowering India's youth through comprehensive skill development. Established on July 31, 2008, as a not-for-profit public limited company under section 25 of the Companies Act, 1956 (now corresponding to section 8 of the Companies Act, 2013), we operate as a unique Public Private Partnership (PPP) model under the Ministry of Skill Development & Entrepreneurship (MSDE). Our collaborative structure, with 49% of the share capital held by the government and 51% by the private sector, enables us to be the principal architects of India's skill ecosystem.

We actively support enterprises, start-ups, and organizations by providing funding support, concessional loans, and other innovative financial products. Our mission is to enhance, support, and coordinate private sector initiatives in vocational training, ensuring that financial barriers do not hinder skill development. As the strategic implementation and knowledge partner of the Skill India Mission, we focus on creating efficient training initiatives that open up a world of opportunities in futuristic skills for the potential workforce.

Through strategic partnerships and innovative models, we aim to build a robust skill ecosystem that not only meets current industry demands but also anticipates future trends, empowering India's youth to contribute significantly to the nation’s growth and development.

Job Description

Research Conceptualisation & Design

• Problem formulation: framing research questions; constructing testable hypotheses/propositions; literature synthesis and gap identification; developing conceptual/theoretical frameworks
• Understanding of skill ecosystem: Prior work or academic experience of skill ecosystem
• Methodological design: selecting research paradigm (quantitative / qualitative / mixed); choosing design (survey, experiment, case study, ethnography, longitudinal); operationalising constructs into measurable variables
• Sampling design: probability vs. non-probability strategies; sample-size and power estimation; weighting and representativeness; frame construction
• Instrument development: questionnaire and item writing; interview/FGD protocol design; scale development, piloting and validation
• Research governance: ethics and informed consent; securing IRB/ethical clearance and administrative approvals; data-protection and privacy compliance

Data Collection & Fieldwork

• Primary collection: survey administration (CAPI/CATI/paper); interviewing (rapport, probing, active listening); structured observation and field recording
• Field operations: enumerator recruitment, training and supervision; fieldwork logistics and scheduling; real-time monitoring
• Secondary data acquisition: sourcing administrative and government datasets; extraction, compilation and linkage; assessing provenance and fitness-for-use
• Data quality assurance: back-checks and spot validation; consistency and range checks; audit trails

Data Management & Analysis

• Data preparation: cleaning, de-duplication and outlier handling; missing-data treatment; coding, structuring and codebook/metadata documentation
• Quantitative analysis: descriptive statistics; inferential testing and regression; advanced methods (multivariate, psychometrics/IRT, equating, causal inference); tool fluency (R, Python, SPSS, Stata)
• Qualitative analysis: thematic and content analysis; grounded-theory coding; QDA software (NVivo, etc.)
• Interpretation & synthesis: pattern and trend identification; triangulation across sources; data visualisation for insight
• Technical & academic writing: report structuring; publication and manuscript writing; citation and referencing discipline
• Dissemination: presentation and public speaking; data storytelling; conference/workshop facilitation
• Stakeholder engagement & policy translation: policy-brief writing; audience-tailored messaging; advisory and consultative engagement with policymakers, practitioners and the public
• Research ethics and integrity; project and time management; digital and data literacy; critical thinking and problem-solving; collaboration and teamwork; multilingual/field-language competence; adaptability under field conditions.

Requirements

Academic Background

• Masters or above in Economics, Statistics, Data Science
• Engineers with Data Science, Machine Learning, Data Analytics
• Any Other candidates from Social Science background can be considered on a case-to-case basis depending on the merit

Experience

• 1. 3-8 years of working experience in the relevant field depending on the requirement of the level.
• 2. Proficient in Microdata analysis using any software package like R, Python, Stata
• 3. Prior experience of working in skill ecosystem
• 4. Deployed ML techniques in analysis
• 5. Proficient in PowerBI, Excel & Powerpoint