Research Analyst - Primary Market Research, Data Processing

Research Analyst - Primary Market Research, Data Processing

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Research Analyst - Primary Market Research, Data ProcessingJob Description: Research Analyst – Primary Market Research, Data Processing

Location: Gurgaon, India
Team: Advisors Research Center (ARC) – Global Facilities India (GFI)



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 infield and postfield 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

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

• 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, and

• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Experience Level

Mid Level