Associate Manager - Data Operations and Process Management

NielsenIQ

Vadodara

On-site

INR 1,200,000 - 1,800,000

Full time

7 days ago
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Benefits offered by this job

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

Job summary

NielsenIQ is seeking an Associate Manager to drive operational and technical excellence in CIP-related processes. You will oversee data acquisition, validation, and issue resolution, ensuring high data quality for client insights while coordinating with onshore and regional partners.

You will mentor a team, optimize end-to-end data processing, and explore automation with R/Python and ML/AI techniques to improve accuracy and on-time delivery in a dynamic, multi-cultural environment.

Qualifications

  • 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.
  • Bachelor’s degree or equivalent; preference for Mathematics, Statistics, Economics, Commerce, or BBA.
  • Master’s degree in Commerce, Statistics, Mathematics or related field.
  • Exposure to SQL/Python and ML/AI and working with large datasets.

Responsibilities

  • Execute Global retailer data acquisition, validation, problem-solving and related project work.
  • Ensure clean data for client insights across local market conditions and onshore work.
  • Engage with Retail Services, Retailers, Data Science and Output Teams.
  • Manage team delivering production data with high quality and on-time deliveries.
  • Resolve technical challenges and promote tool enhancements understood by the team.
  • Own RCA processes and provide precise issue analyses with stakeholders.
  • Define, monitor and document process execution with exception tracking.
  • Automate processes using R/Python/Excel Macros; explore ML/AI for improvements.
  • Maintain data quality and address client data concerns; coordinate with regional/offshore teams.
  • Drive standardization and efficiency for method-related processes; collect information for data quality improvements.
  • Provide technical and process support to deployment of CIP; assist remotely as needed.
  • Prepare KPI tracking dashboards to monitor quality and delivery performance.

Skills

English fluency
Problem-solving
Data analysis
Training & expl., tech elements
Stakeholder management
KPI understanding
Process improvement
Project management
SQL
Python
ML/AI
Large datasets

Education

Bachelor’s Degree or Any Graduate
Master’s degree in Commerce/Statistics/Math/Related

Job description

Associate Manager Job Description

Operational and Technical expertise of CIP i.e. Global GRFE, SIRVAL and GSRS processes within Nielsen production factory. Responsibilities will include execution of Global 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. Manage team and responsibilities of delivering production data with high quality and on-time deliveries to clients. 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

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 Bachelor’s Any Graduate, preference given to Mathematics, Statistics, Economics, Commerce, BBA Master’s degree (Commerce, Statistics, Mathematics or a related field) Exposure to SQL/Python and ML/AI and working with large datasets.

Additional Information

Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 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 insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook

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 https://nielseniq.com/global/en/news-center/diversity-inclusion

Experience Level Mid Level

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