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.

Key Responsibilities:

- 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 productive 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.

Key Interfaces:





- 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.)

Skills, knowledge and experience required:

- 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 mindset
- Spend 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.

Typical Education and Work Experience required:

- 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

📌 Senior Data Processing Specialist - Quantum (Gurugram)
🏢 Nielseniq
📍 Gurugram