Job Type: Full-time

OurPurposeMastercardpowers economies and empowers people in 200+ countries andterritories worldwide. Together with our customers, we’re helpingbuild a sustainable economy where everyone can prosper.We support a wide range of digital payments choices, makingtransactions secure, easy, smart and accessible. Ourtechnology and innovation, partnerships and networks combine todeliver a unique set of products and services that help people,businesses and governments realize their greatestpotential.TitleandSummaryResearchManager – Fieldwork and Data Processing(Operations)Job Description: ResearchManager – 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 globalteam of researchers within Mastercard that delivers high‑quality,end‑to‑end research in support of Mastercard’s Advisors andConsulting Services. As part of ARC’s continuedgrowth, Global Facilities India (GFI) supports global and regionalARC engagements by providing scalable, high‑quality quantitativeresearch delivery. The GFI team works closely with ARC researchersand consultants to ensure consistency, speed, and quality acrossresearch execution and outputs. This role sitswithin the ARC Quant Research capability in GFI and plays a keyrole in managing quantitative research execution across fieldwork,data quality checks, and data processing. Role: As a Research Manager– Fieldwork and Data Processing, you will be responsible formanaging and delivering quantitative research workstreams acrossmultiple markets. You will be responsible for working with thescripting team to verify and test programmed survey links, ownfieldwork execution, while also being responsible for transformingraw survey data into clean, structured, and analysis-readydatasets. Candidates for this position shouldbe comfortable taking ownership of fieldwork and panel vendormanagement (sampling, quotas, timelines), data integrity, applyinganalytical judgment, and proactively identifying patterns, risks,and opportunities within complex datasets. Key responsibilities include:



- Closely work with regional teams across theglobe to understand and operationalize research requirements. - Liaise with the scripting team to verify andtest programmed survey links to ensure logic integrity and fieldreadiness. - Own quantitative fieldworkexecution, including sampling, quotas, timelines, and vendorcoordination. - Monitor fieldwork progress andproactively manage risks related to incidence, quotas, timelines,or data quality. - Conduct and review dataquality checks during and post fieldwork, resolving issues relatedto sample integrity or response quality. -Perform data preparation (e.g., cleaning, validation,transformation) of survey datasets for analysis - Apply structured QC frameworks, logicchecks, and consistency rules to ensure data integrity - Review in‑field and post‑field data toidentify outliers, inconsistencies, and logic issues, andtroubleshoot in collaboration with fieldwork and scripting teams - Own and deliver quantitative data processingand modelling workstreams across global and regional studies - Advise on data structure, weightingapproaches, and analytical feasibility for downstream researchneeds - Sense check analytical outputs,identify patterns or anomalies, and proactively flag implicationsor considerations to researchers - Deliverstructured outputs based on the DP spec, includingcross‑tabulations (weighted and unweighted), coding, and analysisready datasets - Partner with ARC researchersto shape analytical approaches and support insight development - Maintain clear documentation, codebooks, andprocessing notes for each project - Provideguidance and informal mentorship to junior data processing teammembers - Contribute to continuous improvementof data processing and analytical standards, tools, and ways ofworking Qualifications& Skills:



- 5–10 years’ experience in amarket research agency or in‑house role supporting quantitativeresearch data processing and analysis -Bachelor’s degree in Statistics, Mathematics, Economics,Engineering, Computer Science, Data Science, or a related field, orequivalent practical experience - Goodcommunication skills and previous experience in a client facingrole are a plus. - Understanding of differentquestionnaire logics including skip, piping, randomization, quotas,and validations - Strong hands‑on experiencewith data processing and statistical tools (e.g., SPSS, Q, R) - Experience creating cross‑tabulations andstructured analytical outputs - Knowledge ofquantitative analytical techniques such as regression, MaxDiff, anddriver analysis is a plus - Strongunderstanding of quantitative research data structures andprocessing workflows - Ability to interpretdata outputs and translate findings into clear observations forresearch teams - High attention to detail,strong analytical thinking, and problem‑solving skills - Experience supporting multi‑market orregional studies is strongly preferred All About You -Detail‑oriented and focused on delivering high‑quality, accuratedata - Comfortable taking ownership of definedworkstreams and delivering against timelines -Confident working with structured datasets and research tools - Collaborative and effective when workingacross 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 researchenvironmentCorporate SecurityResponsibilityAll activities involvingaccess to Mastercard assets, information, and networks comes withan inherent risk to the organization and, therefore, it is expectedthat every person working for, or on behalf of, Mastercard isresponsible for information security andmust:Abide by Mastercard’s security policiesand practices;Ensure the confidentiality and integrityof the information beingaccessed;Report any suspected informationsecurity violation or breach,andComplete all periodic mandatory securitytrainings in accordance with Mastercard’sguidelines.

📌 Research Manager – Fieldwork and Data Processing(Operations) (Gurugram)
🏢 Mastercard
📍 Gurugram