Research Manager – Fieldwork and Data Processing (Operations)

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Title And

Summary

Research Manager – Fieldwork and Data Processing (Operations)

Job Description

• Research Manager
• Fieldwork and Data Processing (Operations)
• 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 Advisors 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 plays a key role in managing quantitative research execution across fieldwork, data quality checks, and data processing.

RoleAs a Research Manager – Fieldwork and Data Processing, you will be responsible for managing and delivering quantitative research workstreams across multiple markets. You will be responsible for working with the scripting team to verify and test programmed survey links, own fieldwork execution, while also being responsible for transforming raw survey data into clean, structured, and analysis-ready datasets.

Candidates for this position should be comfortable taking ownership of fieldwork and panel vendor management (sampling, quotas, timelines), data integrity, applying analytical judgment, and proactively identifying patterns, risks, and opportunities within complex datasets.

Key Responsibilities

• Include Closely work with regional teams across the globe to understand and operationalize research requirements.
• Liaise with the scripting team to verify and test programmed survey links to ensure logic integrity and field readiness.
• Own quantitative fieldwork execution, including sampling, quotas, timelines, and vendor coordination.
• Monitor fieldwork progress and proactively manage risks related to incidence, quotas, timelines, or data quality.
• Conduct and review data quality checks during and post fieldwork, resolving issues related to sample integrity or response quality.
• Perform data preparation (e.g., cleaning, validation, transformation) of survey datasets for analysis Apply structured QC frameworks, logic checks, and consistency rules to ensure data integrity Review in‑field and post‑field data to identify outliers, inconsistencies, and logic issues, and troubleshoot in collaboration with fieldwork and scripting teams Own and deliver quantitative data processing and modelling workstreams across global and regional studies Advise on data structure, weighting approaches, and analytical feasibility for downstream research needs Sense check analytical outputs, identify patterns or anomalies, and proactively flag implications or considerations to researchers Deliver structured outputs based on the DP spec, including cross‑tabulations (weighted and unweighted), coding, and analysis ready datasets Partner with ARC researchers to shape analytical approaches and support insight development Maintain clear documentation, codebooks, and processing notes for each project Provide guidance and informal mentorship to junior data processing team members Contribute to continuous improvement of data processing and analytical standards, tools, and ways of working
• Qualifications & Skills 5–10 years’ experience in a market research agency or in‑house role supporting quantitative research data processing and analysis Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, or a related field, or equivalent practical experience Good communication skills and previous experience in a client facing role are a plus.
• Understanding of different questionnaire logics including skip, piping, randomization, quotas, and validations Strong hands‑on experience with data processing and statistical tools (e.g., SPSS, Q, R) Experience creating cross‑tabulations and structured analytical outputs Knowledge of quantitative analytical techniques such as regression, Max
• Diff, and driver analysis is a plus Strong understanding of quantitative research data structures and processing workflows Ability to interpret data outputs and translate findings into clear observations for research teams High attention to detail, strong analytical thinking, and problem‑solving skills Experience supporting multi‑market or regional studies is strongly preferred
• All

About You

Detail‑oriented and focused on delivering high‑quality, accurate data Comfortable taking ownership of defined workstreams and delivering against timelines Confident working with structured datasets and research tools Collaborative and effective when working across global, cross‑functional teams Proactive in identifying data issues and proposing solutions Able to balance speed with rigor and quality Thrive in a fast‑paced, dynamic research environmentCorporate 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, andComplete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.