Data Processing Specialist
NielsenIQ
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Benefits offered by this job
Job summary
NielsenIQ in Gurugram is seeking a Data Processing Specialist to manage quantum-based data from market research surveys, producing reports, dashboards, and tables in line with NIQ quality standards.
You will coordinate with multiple teams, apply AI-driven enhancements, and automate status reporting while prioritizing accuracy and timely delivery.
Qualifications
- Bachelor degree required.
Responsibilities
- Review and process all client materials.
- Proactively discuss input details with clients.
- Propose and discuss potential solutions based on client needs.
- Implement proposed solutions for the project.
- Develop reports, spreadsheets, tables and dashboards from data sources.
- Calculate advanced statistical metrics and modeling as required.
- Analyze data to deliver reports and tables.
- Perform quality assurance on deliverables.
- Collaborate with other teams to resolve issues in data delivery.
- Deliver according to project timelines.
- Lead project setup meetings and guide technical deliverables.
- Leverage AI tools to translate questionnaires for multi-country projects, enabling better understanding and efficiency.
- Automate routine status reporting using AI and identify further AI opportunities.
- Focus on improving the quality management system.
- Test and implement newly developed software/tools.
- Coordinate work within team and track task completion.
- Train and support colleagues in data processing tools.
- Instruct and supervise junior colleagues.
- Proactively share knowledge.
- All other activities related to the work processes and projects.
Skills
Education
Tools
Job description
Purpose of the role: Working with data collected from market research surveys to provide a variety of output reports, using software products such as Quantum, SPSS, Dimensions Processing, formatting and presenting the data in accordance with global NIQ quality standards Prioritize, structure and deliver data processing (data table production, file creation, quality checking and workflow communication) of high complexity projects individually Execute day-to-day operations and tasks Prioritize and distribute projects / tasks within the team Propose optimizations and efficient solutions Take decisions related to project delivery in case of any ambiguous situation Contribute to different internal / external initiatives related to operations process, training framework, reporting KPIs etc.
- Review and process all materials provided by the client
- Proactively discuss with the client all details related to input materials and their needs
- Propose and discuss potential solutions based on client needs
- Implement newly proposed solutions for the project
- Develop reports, spreadsheets, tables and dashboards, based on analysis of data from multiple sources
- Calculate advanced statistical metrics and modeling as required by CSG
- Analyze various types of data in order to deliver reports / tables
- Perform and be responsible for quality assurance
- Collaborate with other teams to solve any problems encountered during data delivery phase
- Deliver according to project timelines
- Participate in project set up meetings and guide Project Management and CSG regarding the technical aspects of deliverables with best solution
- Leverage available AI tools to translate questionnaires for multi-country projects, enabling better understanding and more efficient project execution
- Work closely with various teams to drive the improvement, automation, and standardization of Data Management processes through AI
- Automate routine status reporting using AI and identify opportunities where AI can be further leveraged
- Focus on improving the quality management system
- Actively involved in testing the newly developed software and tools and takes the necessary steps for implementing them once they are approved
- Coordinate work within team and follow up on task completion
- Train and provide support to colleagues in data processing for using software / tools
- Instruct and supervise junior colleagues
- Pro-actively seeks to gain and share knowledge
- All other activities related to the direct implementation of the work process and the tasks of the team, department and/or organization arising from the nature of the work or the specifics of the projects/assignments being performed
- Ensure compliance with internal processes, governance standards, and operational best practices.
- Data Processing teams (incl. HUB)
- Survey Scripting teams (incl. HUB)
- Project Delivery teams (incl. HUB)
- Customer Success teams (CS)
- Technology & Data teams (T&D)
- Support Teams (IT, HR, etc.)
- Advanced knowledge of Quantum, Dimension (TOM)
- Advanced knowledge of other Data Processing programming languages and software (e.g. SPSS, Displayr, Python, C, R)
- Advanced knowledge in MS Office, VBA Macro preferred
- Working knowledge in Project Management and Quality Management
- English B2, written and spoken
- Focus on quality and attention to detail
- Keep deadlines
- Strive for continuous improvement
- Drive for results
- Good written and verbal communication skills
- Build good working relationships with colleagues from different teams/location
- Team-player who can also work independently
- Proactiveness and solution-oriented mindsetSpend time on right priorities
- Very good understanding of end-to-end value chain
- Practical experience with AI tools, with the ability to provide clear, structured, and effective prompts to achieve desired outcomes
- Use AI to create, refine, and summarize communications, helping to improve efficiency, clarity, and decision-making.
- Education degree: Bachelor degree is mandatory
- Education degree: Technically oriented BSc degrees, such as Computer Science, Engineering, Data Science, Mathematics, Statistics, Physics, or related quantitative disciplines
- 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/
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
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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
Experience Level Mid Level
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