Data Research Analyst

Department- Assessment Vertical

Job Type- Full-time / Part Time

Experience- 1–3 years

1. Job Summary

The Research Data Analyst will be responsible for ensuring the accuracy, consistency and quality of survey data

collected across various CSR projects, including Impact Assessments, Baseline Studies and Need Assessment

Studies. The role involves data validation and cleaning, quantitative analysis, preparation of end tables and

visualizations, and providing analytical support for research reports.

The candidate will work closely with Project Managers, Research Associates, Field Teams and Report Writers

to ensure the availability of reliable, accurate and well-structured datasets and analytical outputs within

stipulated timelines.

2. Key Roles and Responsibilities

Data Quality Management and Cleaning

Conduct periodic checks of survey databases to identify and resolve missing information, inconsistent

responses, incorrect entries, duplicate records and other data quality issues.

Verify survey responses against the questionnaire and flag discrepancies to the concerned Project

Managers and Field Teams.

Check the completeness and accuracy of survey databases before they are considered ready for analysis.

Quantitative Data Analysis and Reporting Support

Analyse quantitative survey data from CSR Impact Assessments, Baseline Studies and Need Assessment

Studies by generating frequency distributions, cross-tabulations, percentage calculations, end-tables and

corresponding charts and graphs.

Interpret quantitative findings and identify key trends, patterns, variations and anomalies in the data.

Ensure the accuracy and consistency of all tables, graphs, percentages and respondent bases with the final

analysis database.

2. Educational Qualifications and Experience

Graduate or postgraduate degree in Statistics, Mathematics, Economics, Social Sciences, Research or any

related discipline.

1–3 years of relevant experience in survey data management, data cleaning, quantitative analysis or

research data processing.

Experience in handling socio-economic survey data, CSR studies, impact assessments, baseline studies or

development sector research will be preferred.

3. Technical Skills

Strong hands-on knowledge of MS Excel, including formulas, functions, Pivot Tables, data validation,

conditional formatting and chart preparation.

Familiarity with digital data collection platforms such as Google Forms and MS Forms.

4. Behavioral competencies

Innovative and open to new technologies

Team player

Ability to deliver results, meet deadlines and manage time effectively