Research Analyst - Primary Market Research, Data Processing

Mastercard; Gurugram District; On-site; INR 850,000 - 1,200,000; Full time

Job summary

Mastercard is seeking a Quantitative Primary Research Data Processing Specialist (L8) in Gurugram, India. The role involves preparing, processing, and assuring the quality of quantitative research data for global projects. Candidates should have at least 5 years of experience in quantitative data processing and a Bachelor's degree in relevant fields. Experience with statistical tools such as SPSS and R is essential. The position emphasizes attention to detail and the ability to manage multiple datasets simultaneously.

Qualifications

• At least 5 years’ experience in quantitative research data processing.
• Understanding of data structures and processing workflows.
• Hands-on experience with data processing tools is mandatory.

Responsibilities

• Perform data cleaning, validation, and preparation of survey datasets for analysis.
• Review and identify data issues in datasets.
• Produce standard analytical outputs following defined templates.

Skills

Data processing

Statistical tools (e.g., SPSS, R)

Attention to detail

Multi-tasking

Analytical concepts

Education

Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or Computer Science

Tools

SPSS

R

Excel

Job description

Title and Summary

Quantitative Primary Research, Data Processing Specialist (L8)

Overview

The Advisors Research Center (ARC) is a global team of researchers within Mastercard that delivers high quality, end to end research in support of Mastercard’s Advisory and Consulting Services.

As part of ARC’s continued growth, Global Facilities India (GFI) supports global and regional ARC engagements by providing scalable, high quality quantitative research delivery. The GFI team works closely with ARC researchers and consultants to ensure consistency, speed, and quality across research execution and outputs.

This role sits within the ARC Quant Research capability in GFI and supports the preparation, processing, and quality assurance of quantitative research data for global projects.

Role

As a Quantitative Research Data Processing Specialist, you will support data processing workstreams across quantitative research projects. You will be responsible for preparing clean, structured, and analysis ready datasets, applying quality checks, and supporting basic analytical outputs in partnership with senior team members.

Key Responsibilities

• Perform data cleaning, validation, and preparation of survey datasets for analysis
• Review in‑field and post‑field data to identify issues such as outliers, missing data, or inconsistencies
• Execute data transformations, including dataset merging, recoding, and variable creation following defined processing standards
• Produce standard analytical outputs (e.g., distributions, cross tabs) following defined template
• Flag data issues, missing variables, or anomalies and collaborate with project managers and programming teams to resolve them
• Maintain clear documentation, codebooks, and processing notes
• Ingest and review structured survey datasets received from fieldwork / project teams for completeness and usability
• Validate dataset structure, variable definitions, coding schemes, and alignment with questionnaire specifications
• Review, assess, and validate the tabulation plan (tab plan) developed by the ARC team
• Partner with fieldwork, scripting, and visualization teams to ensure smooth handoffs and data continuity across project stages
• Ensure final datasets meet internal quality standards and are optimized for downstream analysis and reporting

Qualifications & Skills

• At least 5 years’ experience at a research agency or in an in‑house role supporting quantitative research data processing
• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, or a related field, or equivalent practical experience
• Hands‑on experience with data processing or statistical tools (e.g., SPSS, Q, R, Excel, DisplayR, or similar) is mandatory
• Understanding of quantitative research data structures and processing workflows
• Familiarity with basic analytical concepts and outputs (e.g., data weighting, distributions, crosstabs, basic comparisons)
• Strong attention to detail and quality orientation
• Ability to manage multiple datasets and tasks simultaneously
• Comfortable working in fast‑paced, deadline‑driven environments
• Experience supporting multi‑market or regional studies is a plus

All About You

• Detail oriented and focused on delivering accurate, well structured datasets
• Comfortable owning defined data processing workstreams from raw data to final outputs
• Methodical in applying data quality checks, logic rules, and consistency validations
• Confident working with structured datasets, codebooks, and processing documentation
• Collaborative and reliable in supporting researchers, programmers, and visualization teams
• Able to balance speed with rigor in a high volume, deadline driven environment

Corporate Security Responsibility

• Abide by Mastercard’s security policies and practices
• Ensure the confidentiality and integrity of the information being accessed
• Report any suspected information security violation or breach
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines