The Data Quality Analyst at iResearch Services plays a critical role to guarantee the consistency and dependability of the data from market research project surveys. To maintain client-ready quality standards, they must validate, clean, and quality check the survey datasets. To provide reliable insights, the position serves as a link between operations, client-centric data, and analytics.
Responsibilities
Conduct end-to-end data validation, cleaning, and consistency data checks across quantitative and qualitative survey research datasets.
Verify survey logic, skip patterns, quotas, and respondent authenticity to ensure high-quality, reliable data. Create and run QC (in Excel, SPSS) to detect outliers, duplicates, or anomalies in large datasets. Collaborate with wider teams to align data outputs with questionnaires, reports, and client deliverables. Maintain data documentation for tracker studies. Support automation of recurring QC tasks for faster data turnaround. Ensure data privacy, compliance, and accuracy standards are met across projects and markets. Liaise with Fieldwork and Analytics teams to monitor sample quality, respondent profiling, and data completeness. Continuously improve data quality processes, tools, and best practices across the research lifecycle.
Requirements
Strong command of Microsoft Excel.
Hands-on experience with SPSS Syntax for data cleaning. Familiarity with survey and data platforms. Experience working with data and reading it. Knowledge of data weighting, sampling logic, and respondent validation techniques. Attention to detail with a structured and logical problem-solving mindset. Strong analytical ability to identify inconsistencies, anomalies, or trends in data. Effective communication and documentation skills to collaborate with cross-functional teams. Ability to manage multiple projects, deadlines, and data sources simultaneously.
At iResearch, we understand and profoundly empathize with our diverse workforce s unique perspectives and needs. We are committed to fostering an inclusive and supportive environment where everyone feels truly valued and empowered to be their authentic selves. Our goal is to create a workplace free from any barriers, particularly those faced by underrepresented groups, and empower all our employees to reach their full potential. We are passionate about promoting diversity, equity, and inclusion in everything we do.
Our benefits may vary depending on the employee s location but rest assured; we strive to offer the best perks and an inclusive environment to support your professional growth no matter where you are. From generous annual leave allowances and flexible working options to life and medical cover for you and your family, enhanced maternity and paternity packages, uncapped earning potential, hybrid working and opportunities to give back to the community through our Giving for Good Foundation. We are committed to making sure our employees are taken care of and feel valued.
Skills
Secondary Research, Data Analysis, Data Cleaning, Data Quality, Data Validation, Advance Excel
At iRS, while we are a global organization, we encourage local candidates to apply for any position within our organization, particularly at our large facility in Pune. Hiring individuals who reside near our company facility offers the benefits of their local insights and connection to the community to enhance our ability to provide exceptional products/services and foster meaningful relationships. We believe that hiring locally here contributes to a collaborative and efficient work environment, reinforces our commitment to sustainability, and strengthens our ties with the community we serve, giving back across the ecosystem in which we operate. We balance this with offering remote and hybrid working across our international jurisdictions to provide a fair and flexible working environment for all employees.
1-3 Years
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