NielsenIQ Off Campus 2024 | Data Processing Specialist | Apply Now!

• The person will execute, monitor and continuously improve production tasks assigned to the Statistical Operations function as sample maintenance and data quality checks. Expert on processes and methodologies, playing an active role to improve quality & efficiency.
• This is where statistical theory meets day-to-day practice. Everyday work revolves around ensuring the high quality of the setup used in the various markets reported by Nielsen as well as analysing 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.
• 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 possibility of implementing advanced techniques lik Machine Learning and Artifical Intellegence
• Execute processes of Statistical 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 statistical estimation & provide root cause analysis and solution for client queries
• 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 / methods issues.
• Participate in development and drive standardization and process efficiency for method related process / application.
• Implement and control special projects from methodology point of view.
• Work in partnership with the country’s Onshore Operations team according to execution requirements as defined by the process playbooks for Operations.

Skills:

• Exposure to R/Python and ML/AI
• Excellent organization skills, aptitude to work in a team and meet deadlines
• A high degree of accuracy, proactivity and attention to detail
• Good analytics skills and aptitude for data and operational processes
• Project management aptitude (critical path, task sequencing, problem solving, etc.)
• Common business language knowledge (English): speaking and writing with fluency

NielsenIQ Off Campus Qualification: 

• Bachelor’s Any Graduate, preference given to Mathematics, Statistics, Economics, Commerce, BBA
• Master’s degree (Commerce, Statistics, Mathematics or a related field).

NielsenIQ Selection Process:

• Resume Screening
• Initial Interview
• Technical Assessment
• Panel Interview
• Behavioural Interview
• Final Interview
• Reference Check
• Job Offer

How to Apply for NielsenIQ Off Campus Drive 2024?

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