Expert

Job Level - 5

Note: Associates who are currently at level 4 should apply. For those who are already at level 5 it would be a lateral move.

Operational and Technical expertise of CIP i.e. Global GRFE SIRVAL and GSRS processes within Nielsen production factory. Responsibilities will include execution of US retailer 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 local and regional partners like Retail Services Retailers (clients) Data Science and Output Teams.  

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. 

Qualifications :

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 

Bachelors Any Graduate preference given to Mathematics Statistics Economics Commerce BBA 

Masters degree (Commerce Statistics Mathematics or a related field) 

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

Additional Information :

A successful Expert Input Validation (IV) delivers timely and with quality instructions of client deliverables coding and data validation focusing on the retailer & manufacturer industries/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)

About NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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Our commitment to Diversity Equity and Inclusion

At NIQ we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information marital status veteran status or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion please visit the  Work :

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Employment Type :

Full-time