Expert (SQL and Python skills preferred)

Aitomic Jobs

Vadodara

On-site

INR 900,000 - 1,300,000

Full time

14 days+

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Job summary

NielsenIQ in Vadodara, India seeks an Expert with SQL and Python skills to lead data acquisition, validation, and project work. This role focuses on CIP processes, ensuring clean data for client insights and onshore operations.

You will collaborate with Retail Services, Data Science, and ONshore teams, drive automation with Python/Excel, monitor KPIs, and communicate clearly with stakeholders to resolve issues.

Qualifications

  • Experience with SQL and Python for data processing and validation.
  • Ability to work with large datasets and ML/AI concepts.
  • Strong problem-solving and communication skills.

Responsibilities

  • Execute CIP-related data acquisition, validation and project work.
  • Ensure clean data for client insights and onshore operations.
  • Automate processes using Python, Excel Macros and related tools.
  • Collaborate with Retail Services, Retailers, Data Science and Output Teams.
  • Document processes, monitor KPIs and drive continuous improvement.

Skills

SQL
Python
Data analysis
Machine Learning

Education

Bachelor’s degree
Master’s degree preferred

Tools

Excel Macros
R

Job description

Short Summary

Expert (SQL and Python skills preferred) with NielsenIQ. Operational and Technical expertise of CIP i.e. Global GRFE, SIRVAL and GSRS processes within Nielsen production factory. Responsibilities will include execution of retailer/Vendor data acquisition, validation, problem-solving 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.


Key Details


  • Position / opportunity: Expert (SQL and Python skills preferred)

  • Organization: NielsenIQ

  • Country / coverage: India

  • Location: Vadodara, GJ, India

  • Work arrangement: On-site

  • Opportunity type: Jobs

  • Sector: Education

  • Compensation: Not specified

  • Duration: Not specified

  • Start date: 2026-08-11

  • Application deadline: Not specified


Description

Operational and Technical expertise of CIP i.e. Global GRFE, SIRVAL and GSRS processes within Nielsen production factory. Responsibilities will include execution of retailer/Vendor data acquisition, validation, problem-solving 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 partners like Retail Services, Retailers (clients), Data Science, Output Teams, Enablement,DS etc Responsibilities Engage with the team on resolving technical challenges and ascertain newer enhancements in the tools 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 the team to give a proper analysis of the issue(s) 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 a 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 R/Python/Excel Macros and explore the 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 NielsenIQ as well as analyzing any potential concerns in the data which a client may have. It is an important link in the chain of NielsenIQ activities, and our analysts are often engaged in cross-department cooperation. Execute processes of Input Operations and associated project work. Execution work requires an understanding of aspects of the end-to-end process flow of processing data for retailer receipt to delivery and all related activities throughout the production process supporting the US. 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 the development and drive standardization and process efficiency for method-related process/application. Engage with Retailers, StatOps, Reference Data, Data Science, and Output Teams to collect information and coordinate tasks to improve data quality and drive for continuous business process improvements. Provide technical and process expertise to the deployment of the Consumer Information Platform (CIP); also assist remotely located resources to implement projects in the most effective way. Prepare accurate tracking KPI to monitor and 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. Working experience of proprietary software, Ops Process within NielsenIQ domain Min 5-8 years of experience 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, a 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 SQL/Python and ML/AI and working with large datasets A successful Expert, Input Validation (IV) delivers timely and with quality instructions of client deliverables, coding, and data validation focusing on the retailer &…


Responsibilities


  • Operational and Technical expertise of CIP i.e.

  • Global GRFE, SIRVAL and GSRS processes within Nielsen production factory.

  • Responsibilities will include execution of retailer/Vendor data acquisition, validation, problem-solving 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 partners like Retail Services, Retailers (clients), Data Science, Output Teams, Enablement,DS etc Responsibilities Engage with the team on resolving technical challenges and ascertain newer enhancements in the tools are well…

  • Get it documented and ensure implementation of a 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…


Requirements / Eligibility


  • , 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 SQL/Python and ML/AI and working with large…

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