Senior Data Operations Analyst - IV

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.

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

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