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Senior Data Operations Analyst - IV

Pay
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Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Deliver production cycles on time to defined quality standards

  • Own root cause analysis of errors and communicate them to stakeholders

  • Define, document and monitor process execution and exceptions

  • Automate processes using SQL, R, Python or Excel macros

  • Manage client queries and project updates with onshore and offshore teams

From the employer’s posting
Responsibilities of delivering production cycle on time with defined quality standard
Own the RCA process and work with team to give proper analysis of the issue in discussion
Define and monitor the process execution. Get it documented
Execute process automation using tools like SQL/R/Python/Excel Macros
Ensure effective and clear communication with onshore and other stakeholders, provide precise project updates, and manage client queries efficiently

What you’ll bring

All qualifications

Core experience

  • At least 18 months of experience in data-related work
  • Fluent English, spoken and written
  • Problem solving and ability to analyze data
  • Project management and process improvement skills
  • Bachelor's degree, preferably in Mathematics, Statistics, Economics, Commerce or BBA
Qualification wording
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
Project management skills - ability to accurately scope project requirements, manage stakeholder expectation
Bachelor’s Any Graduate, preference given to Mathematics, Statistics, Economics, Commerce, BBA
Education & alternatives
- 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)
- 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

About NielsenIQ

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.

In the employer’s words · Read in context

Apply at NielsenIQ

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 20267 days ago
Recorded sightings
18
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 7

Similar jobs usually come down between day 3 and day 41.

From 261 similar postings that came down. Coming down is not always a hire.

NielsenIQ is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 19% of open jobs were reposted
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  • Python
  • R
  • SQL
Where the posting names them
- 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.
- Master’s degree (Commerce, Statistics, Mathematics or a related field) - Exposure to R/Python and ML/AI Additional Information
Company 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.

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About the role

We file this job under Data Operations, by the work the posting describes.

Data operations staff do the day-to-day work of getting data processed correctly: loading and checking files, moving records between systems, fixing errors and following set procedures.

Expect Excel, some SQL, close attention to detail, and knowledge of the particular systems the company runs.

Data governance sets the rules for the data; data operations does the hands-on work of processing it and keeping it moving.

Job description

View original posting ↗

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
  • Presentation 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

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

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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

Company 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.
 

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Location & working pattern

Vadodara, GJ, India

- 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.
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