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NIQ Off Campus Drive 2023 Hiring Freshers As Data Analyst For BE/BTech/BSC/ME/MTech/MCA

NIQ Off Campus Drive 2023 Hiring

About NIQ

NIQ, the world’s leading consumer intelligence company, reveals new pathways to growth for retailers and consumer goods manufacturers. With operations in more than 100 countries, NIQ delivers the most complete and clear understanding of consumer buying behavior through an advanced business intelligence platform with integrated predictive analytics. NIQ delivers the Full View.

NIQ was founded in 1923 and is an Advent International portfolio company. For more information, visit NIQ.com


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This role is accountable for activities related to Quality checks (Primary testing of data, Retailer Accreditation) from receipt of the data and data loading into the system for data sources that Nielseniq receives. Data Analysts will be responsible for onboarding\setting up, upload and monitoring data (all Data types) into the ingestion platform \ other input platforms. This role is also responsible for monitoring, cleansing, classification & verification of received data, managing metadata, Troubleshooting, and handling Client queries. This position will be responsible for engaging and coordinating with different data suppliers at regular intervals to ensure smooth supply of deliverables in a correct and timely manner.

Job Profile : Data Analyst

Work Location: Gurgaon, NCR

Experience Required : Freshers

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Salary : Not Disclosed

Degree Required : BE/BTech/BSC/ME/MTech/MCA

Job Responsibilities

Quality Testing: 

  • Support all sourcing Teams, Operations and Product Leadership with any requests around data quality testing for new / prospective Suppliers.
  • Run Quality checks and provide feedback (Retailer Accreditation / other defined quality protocols) on sample data as requested.

Data Onboarding: 

  • Understand the data format agreed with the Supplier as per the contract and complete set up on Ingestion/ any other Input platform.
  • Data cleaning, verification and classification as needed.
  • Upload of received files to platform as needed.
  • Troubleshooting with the Supplier in case data is not in agreed format or any other issues with data upload such as file issues (Type/ location/ special characters etc.).

BAU Operations: 

  • Create procedures to support ongoing BAU Ops.
  • Ensuring data receipt as per schedule, following escalation process if the data not received on the agreed date in the desired format.
  • Data cleaning, verification and classification as needed.
  • Responsible for sending and contacting retailers to verify data queries or store queries.
  • Load data/monitor auto upload into ingestion/ any other input platform.
  • Update retailer KPIs on timeliness and Quality such as Retailer Information Systems (RIS) update.

KPI Tracking & Reporting: 

  • Regularly update Supplier KPIs on data timeliness and Quality (RIS).
  •  Work with Supplier Compliance & Management to improve Quality KPIs for the Supplier.
  • Work as a single source of truth for all data/logic related inquiries.

Trouble Shooting & Enquiries: 

  • Engage with Supplier SPOC – in case data not received on time or issues with the data.
  • Raise ticket and ensure resolution if any issues with NielsenIQ systems to upload data for downstream processes.
  • Resolve/escalate issues flagged by inputs systems and follow through the closure.
  • Provide analysis and handle communication-related to Client inquiries.


  • Bachelor’s Degree or technical institute degree / Degrees in statistics/ Data Analytics or equivalent work experience.
  • 0-1 years of relevant professional work experience.
  • Understanding of various data and file formats.
  • Ability to interpret different data structures and mapping.


  • Experience dealing with large amounts of data (TBs) – troubleshooting data Issues.
  • Excellent organizational skills & ability to strictly follow schedules.
  • Knowledge of Python, R & Sql along with Big Data programming language & methodologies.
  • Knowledge of cloud architecture and other API routes of Data Exchange would be an added advantage.
  • Strong technical knowledge and business interpretation of data.
  • General Systems understanding from ETL point of view.
  • Fluent English Language skills, local market language (if required by Markets).
  • Good communication skills, excellent analytical skills and detail oriented.

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