Senior Data Operations Analyst – IV

NielsenIQ; Vadodara; On-site; INR 600,000 - 900,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ in India (Vadodara) is seeking a data-focused professional to execute statistical validation, ensure data quality for client insights, and work with local and regional partners. You will handle large datasets, run SQL/Python/R, automate processes, monitor KPIs, and provide clear project updates across onshore teams.

The role requires 18+ months in data-related work, fluency in English, strong problem-solving, and the ability to train stakeholders; a Math/Stats/Econ/Commerce background

Qualifications

• Min 18 months of experience in data-related work.
• Fluent English speaking and writing.
• Problem solving and data analysis abilities.
• Ability to train and explain technical elements to stakeholders.
• Ability to monitor activities with KPI understanding.
• Process-driven with ability to refine processes for quality & on-time delivery.
• Proven organizational skills.
• Process improvement methodologies.
• Project management skills to scope requirements and manage stakeholders.
• Bachelor’s degree; preference for Mathematics/Statistics/Economics/Commerce/BBA.
• Master’s degree in Commerce/Statistics/Mathematics or related field.
• Exposure to R/Python and ML/AI.

Responsibilities

• Deliver production cycles on time with defined quality standards.
• Engage with the team to resolve technical challenges and drive tool enhancements.
• Communicate effectively with stakeholders during errors and ensure proper messaging.
• Own the RCA process and provide analysis of issues.
• Provide clear project updates to onshore and other stakeholders.
• Document and monitor process execution; track exceptions.
• Identify automation opportunities and drive process improvements.
• Automate processes using SQL, R, Python, and Excel Macros; explore ML/AI.
• Ensure data quality across markets and support cross-department collaboration.
• Handle input operations and multi-country project work.
• Execute tasks to guarantee data accuracy and timely trends.
• Support standardization and efficiency for method-related processes.
• Coordinate with Validation, Output, and Reference Data to improve data quality.
• Assist deployment of CIP; support remote resources for projects.
• Prepare KPI tracking to monitor quality and delivery.
• Operate in a virtual/multi-cultural environment with stakeholders.

Skills

Data analysis

English fluency

Problem solving

Training & explanation

KPIs understanding

Process improvement

Project management

Organizational skills

Process documentation

Data-driven decisions

Education

Bachelor's degree

Master's degree

Math/Statistics/Economics/Commerce/BBA

Tools

SQL

Python

R

Excel

Job description

Responsibilities will include execution of Statistical validation and associated project work and ensure clean data for client insights. This includes understanding and representing the respective local market conditions in the operations processes, as well as executing defined country “onshore” work. This entails engaging local and regional partners like Output, RD and CPEs. Experience in handling large datasets, data validation, SQL and Python are key requirements.

Job Description

• Responsibilities of delivering production cycle on time with defined quality standard
• Engage with team on resolving technical challenges and ascertain newer enhancements in the tool are well understood by the team
• In case of error, engage with stakeholders to do the right communication
• Own the RCA process and work with team to give proper analysis of the issue in discussion
• Ensure effective and clear communication with onshore and other stakeholders, provide precise project updates, and manage client queries efficiently
• Define and monitor the process execution. Get it documented and ensure implementation of mechanism to keep these documents updated with tracking of exceptions
• Understand regular execution process with attention to detail and identify areas of automation and improvement
• Execute process automation using tools like SQL/R/Python/Excel Macros and explore possibility of implementing advanced techniques like Machine Learning and Artificial Intelligence
• Everyday work revolves around ensuring the high quality of the setup used in the various markets reported by Nielsen as well as analyzing any potential concerns in the data which a client may have. It is an important link in the chain of Nielsen activities and our analysts are often engaged in cross-department cooperation.
• Execute processes of Input Operations and associated project work. Execution work requires understanding of aspects of the universe, sample design, data queries and all related activities throughout the production process, potentially for different countries.
• Execute production tasks in order to guarantee accuracy and trend ability on data in respect of scheduled deadlines and investigate data inquiries / challenges with local teams, and regional / offshore Operations for processes.
• Participate in development and drive standardization and process efficiency for method related process / application.
• Engage with Input Validation, Output and Reference Data to collect information and coordinate tasks to improve data quality and drive for continuous business process improvements.
• Provide technical and process expertise to deployment of the Consumer Information Platform (CIP); also assist remote located resources to implement projects in the most effective way.
• Prepare accurate tracking KPI to monitor and to improve quality performances (on time delivery and data accuracy) and maintain project work discipline.
• Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues.

Qualifications

• Min 18 months of Experience in Data Related work
• Common business language knowledge (English): speaking and writing with fluency
• Problem solving, ability to understand and analyze data
• Ability to train and to explain technical elements to different stakeholders
• Ability to monitor activities, good understanding of KPIs
• Process driven - ability to define and refine processes to ensure continual improvement in quality and on time delivery
• Proven organizational skills
• Process improvement methodologies
• Project management skills - ability to accurately scope project requirements, manage stakeholder expectation
• Bachelor’s Any Graduate, preference given to Mathematics, Statistics, Economics, Commerce, BBA
• Master’s degree (Commerce, Statistics, Mathematics or a related field)
• Exposure to R/Python and ML/AI

Additional Information

A successful Senior DPS delivers timely and with quality instructions of client deliverables, coding and data validation focusing on specific industry / category or set of categories (e.g. Beverages, Food, Health and Beauty Products). S/he is expected to identify, investigate and co-ordinate the resolution of data, process or product related queries and also be the point of contact for commercial queries which also needs to be solved in an efficient and client focused manner

• Flexible working environment
• Volunteer time off

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

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