NielsenIQ

Data Operations Analyst

NielsenIQ
Vadodara
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Freshers onlyFreshers only

Job Description

Data Operation Analyst- Vadodara

Company Description

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide.  Building the bigger picture means making sure we connect every single dot. Our Operations teams make sure we’re at the forefront of every innovation that makes that possible. Clients around the world rely on NielsenIQ’ s data and insights to innovate and grow. In order to continue to scale & support this new platform, it is critical that we have the best talent on our team.  

Job Description

The Data Operation Analyst is responsible for 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). As Data Processing Specialist at Nielsen, you have to create and deliver client outputs in a correct and timely manner.

RESPONSIBILITIES

  • Be the point of contact for commercial queries, leading the resolution in a client focused and timely manner in cooperation with Client Liaison and Commercial teams.
  • Should be able to identify, investigate and co-ordinate the resolution of data, process or product related queries.
  • Plan and execute a complex daily personal workload and support to meet departmental and company schedules.
  • Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP) and drive convergence of processes and tools.
  • Provide accurate and timely feedback to respective country teams, driving SOP and use of best demonstrated practices.
  • Work across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction. Operate in a virtual/multi-cultural environment, liaising with stakeholders and colleagues

 

A LITTLE BIT ABOUT YOU

 

A successful Data Operation Analyst 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

Qualifications

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

Additional Information

This is an entry level role, hence comp is 3.16 LPA

Our 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://www.nielseniq.com/global/en/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

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

Experience Level

Entry Level

Job role

Work location
Work locationVadodara, GJ, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryRisk Management - Operations / Strategy
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceFreshers only

About company

Name
NameNielsenIQ
Job posted by NielsenIQ

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