Senior Data Operations Analyst – IV at NielsenIQ

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NielsenIQ

Job opening

Senior Data Operations Analyst – IV at NielsenIQ

NielsenIQ is hiring a Senior Data Operations Analyst – IV in Vadodara, Gujarat, India. The role details below come from the employer’s posting. You apply on the employer’s own site, and TechJobs360 never charges candidates.

1. Job details

Company
NielsenIQ
Role
Senior Data Operations Analyst – IV
Location
Vadodara, Gujarat, India
Salary / CTC
Not disclosed by employer
Experience
See the job description
How to apply
On the employer’s site

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2. Job description from NielsenIQ

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.

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

Want to keep up with our latest updates?

Read the full description on the employer’s site →

3. Skills that usually matter in data and AI roles

General guidance from TechJobs360, not part of NielsenIQ’s posting. The job description above is what counts for this role.

AreaWhat to be comfortable with
LanguagesPython, SQL, Scala
Frameworks & toolsSpark, pandas, PyTorch / TensorFlow, Airflow, a cloud data warehouse
Computer science basicsData structures, algorithms, complexity
Ways of workingVersion control, code review, testing, reading other people's code

4. How to prepare for a Senior Data Operations Analyst – IV interview

Interview formats differ by company and team, so confirm the rounds with the recruiter. Most hiring loops for roles like this cover:

Screening

A recruiter call or an online test. Read the job description twice and be ready to explain how your experience matches it.

Technical round

Often coding problems on arrays, strings, trees, graphs or dynamic programming, solved while you explain your thinking.

Practical or design round

Often design and trade-off questions sized to the role: an API, a component, or a small system.

Manager and behavioural round

Answer with the STAR method (Situation, Task, Action, Result). Prepare two or three real stories: a hard problem you solved, a disagreement you handled, and something you learned quickly.

5. Take-home pay example (FY 2026–27, new tax regime)

An example for two common package sizes, not this job’s salary. Under the new tax regime (Section 115BAC) salaried employees get a standard deduction of ₹75,000.

ComponentExample: ₹12 LPAExample: ₹24 LPA
Basic salary (40% of CTC)₹40,000 / mo₹80,000 / mo
Employee EPF (12% of basic)-₹4,800 / mo-₹9,600 / mo
Income tax (TDS)-₹6,933 / mo-₹32,450 / mo
Professional tax-₹200 / mo-₹200 / mo
Approx. in-hand₹81,344 / mo₹1,44,304 / mo

Work out the take-home pay for your own offer, in either tax regime.

Open the salary calculator →

6. Questions and how to apply

How do I apply?

Use the apply button below. It opens NielsenIQ’s own application page.

Does TechJobs360 recruit for this job or charge a fee?

No. We list openings from employers’ career sites. NielsenIQ runs the hiring, and nobody should ask you to pay to apply.

Is this job still open?

We check listings against the employer’s page every day and take down jobs that have closed.

Should I apply if I don’t match every requirement?

Usually yes, if you meet most of the core requirements and can show you learn quickly. A referral from someone on the team can help your resume get read.

Apply for Senior Data Operations Analyst – IV at NielsenIQ

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Senior Data Operations Analyst – IV at NielsenIQ
NielsenIQ · Vadodara, Gujarat, India
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