Data Quality Executive – Field Operations at NielsenIQ

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

17 Oct, 26

Salary

0.0

Posted On

19 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Quality Control, Data Validation, Survey Operations, Market Research Methodologies, Personal Back Checks, Quality Audits, Excel, Problem Solving, Communication Skills, Stakeholder Coordination

Industry

Software Development

Description

Job Description Job Location will be Hyderabad The purpose of this role is to ensure the integrity, reliability, and quality of data during live fieldwork by conducting continuous quality checks, proactive validations, and early issue detection. The role focuses on minimizing errors at the source through daily monitoring, Personal Back Checks (PBCs), and spot audits, thereby preventing data discrepancies and reducing downstream rework. By identifying and addressing potential risks in real time, this position plays a critical role in maintaining adherence to research protocols, improving field execution standards, and safeguarding the overall credibility of study outcomes. Ultimately, the role contributes to delivering accurate, high-quality insights and enhancing client trust. Responsibilities Responsible for ensuring high standards of data quality during ongoing fieldwork by conducting continuous monitoring, proactive checks, and early issue identification to prevent data errors and maintain study integrity. Conduct daily quality checks across all active fieldwork projects to ensure adherence to study protocols and research methodologies. Monitor interviewer performance and response patterns. Identify inconsistencies, irregularities, or deviations from defined quality standards. Perform proactive Personal Back Checks (PBCs) during live fieldwork to validate 1. Respondent authenticity 2.Interview accuracy 3.Data reliability and 4. Target group authentication. Ensure that interviews are conducted as per guidelines and ethical standards Document findings and escalate discrepancies in a timely manner. Identify potential risks or recurring quality issues early in the fieldwork cycle. Take corrective actions such as 1- Flagging suspicious interviews 2- recommending rework OR respondent replacement. Work closely with project managers, and operations teams to implement preventive actions. Provide feedback and guidance to improve field execution quality. Support training initiatives based on recurring quality issues. Qualifications Bachelor’s degree in Statistics, Market Research, Business, or related field. 2–5 years of experience in fieldwork quality control, data validation, or survey operations. Strong understanding of market research methodologies and field processes. Experience in conducting PBCs, spot checks, and quality audits. Ability to coach, influence, and hold interviewers accountable. Proficiency in Excel. Strong attention to detail and problem-solving skills. Good communication skills for coordination with field teams and stakeholders. Computer literacy and accurate keyboard skills. Proficiency in local language(s) both written and verbal. Thorough understanding of the related NielsenIQ SOPs and field work standards. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Operations

Responsibilities

Ensure the integrity and reliability of data during live fieldwork through continuous monitoring, proactive validations, and spot audits. Identify risks and inconsistencies in real-time to prevent data errors and maintain adherence to research protocols.