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

Skills
Python, SQL, Machine Learning, Artificial Intelligence, Excel, Project Management, Process Improvement

Employment type
Full-time

Work arrangement
No