Expert - SQL and Python

Nielseniq India; Vadodara; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

NielsenIQ India is seeking a data/ops professional to engage with teams, resolve technical challenges and drive automation. You will own root cause analysis, document processes, monitor KPIs and ensure data quality across NielsenIQ markets.

The role requires strong communication with onshore and offshore teams and collaboration across departments. The ideal candidate will have 5–8 years of experience, proficiency in SQL/Python, and a background in statistics, mathematics or commerce.

Qualifications

• Proven experience with proprietary software and Ops Process within NielsenIQ domain.
• Min 5-8 years of experience in data/ops roles.
• Fluent English speaking and writing.
• Strong problem-solving and data analysis skills.

Responsibilities

• Engage with the team to resolve technical challenges and communicate updates to stakeholders.
• Own the RCA process and provide analysis in discussions.
• Define, monitor, and document processes with updates and exceptions tracking.
• Automate processes using tools like R/Python/Excel Macros and explore ML/AI techniques.
• Ensure high data quality for NielsenIQ markets and support cross-department cooperation.
• Coordinate with Retailers, StatOps, Reference Data, Data Science and Output Teams to improve data quality.

Skills

SQL

Python

Data analysis

Machine Learning

KPIs

Communication

Presentation

Stakeholder management

Education

Bachelor's Degree in Mathematics/Statistics/Commerce

Master's degree in Commerce/Statistics/Mathematics or related field

Tools

Excel

Power BI

Job description

Role & 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.

Preferred candidate profile

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 skillsPresentation skills

Process improvement methodologies

Project management skills - ability to accurately scope project requirements, manage stakeholder expectation

Bachelors Any Graduate, preference given to Mathematics, Statistics, Economics, Commerce, BBAMaster’s degree (Commerce, Statistics, Mathematics or a related field)

Exposure to SQL/Python and ML/AI and working with large datasets