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  Cutting-edge and open to new technologies  Team player  Ability to deliver results, meet deadlines and manage time effectively

📌 Data Research Analyst (India)
🏢 SoulAce
📍 India