Nielsen Recruitment Drive; Hiring Data Analyst – Apply Now

In this position, you contribute to making market research data available for advertisers, media owners and media agencies. Their solutions help these companies in making decisions around their marketing communication strategy. The research data, from a wide range of vendors including Nielsen itself, helps answer questions like: “What online sources can I use to reach the audience of this television show? How can I optimally align my message to what is important to my audience?” You will be working as part of an international team, the majority based in the U.S. and in Europe.

Name of the Organization: Nielsen

Requisition ID:

Positions: Associate Data Analyst

Location: Bangalore

Salary: As per company Norms

Required Skills & Qualifications:

• Bachelor or Master’s degree in Business Informatics, Statistics or similar with an emphasis on data
• Media or market research experience is a plus
• Some programming experience, ideally in Python;
• Result-driven mentality and affinity with data and research;
• Affinity with software and quantitative techniques;
• Analytical thinking combined attention to detail;
• Fluent in English (speaking and writing);

Responsibilities:

• Prepare market research data for use in the company's software platform, ensuring data is organized, accessible, and accurate.
• Learn multiple functions within the processing workflow.
• Understand guidelines and policies for each distinct function that will be QA'd (quality assured).
• Apply skills to automate and improve processes using the current system, focusing on Python-based improvements.
• Contribute to making market research data available to advertisers, media owners, and agencies.
• Help companies make decisions around their marketing communication strategies by providing research data.
• Collaborate with an international team, mainly based in the U.S. and Europe.
• Work with various business areas including the data team, ETL developers, internal vendors, and software development to improve and modernize the data pipeline.

 

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