Audience & Consumer Insights Specialist I chez The Nielsen Company

Company Description

At Nielsen, division Media Planning, we develop creative analytical solutions to support companies in the optimization of their marketing and communications budgets. Analytical and econometric approaches form the backbone of these solutions, answering questions like "What media mix works best to communicate my brand message?”, “What budget should I invest in media and marketing?". Our software tools and other decision-support solutions combine market research, data, modeling results and technical business intelligence.

Job Description

In this position, you contribute to the successful implementation of our software solutions for advertisers, media owners and media agencies. Our solutions help these companies in making decisions around their marketing communication budgets. Based upon research data combined with analytical and econometric approaches our solutions answer questions like "What budget is needed to generate an increase of 10% in brand preference? What media mix contributes the most to the revenue?"

You will be working in (small) project teams on the design, execution, implementation and operational management of projects. This involves analyzing data, setting up surveys, designing a good way to integrate data (survey data, modeling and industry knowledge) into our software tools and maintaining contact with clients – both internal and external. In your role, you will focus on the technical implementation of the project and will be responsible for analysing the data and implementation and testing of the software. You will work closely with the technical lead of the project and the project manager. Will have a chance to be involved in the entire project from client request and solution design to tool delivery and training.

Qualifications

This section outlines the core technical skills and background we believe are necessary for success in this role.

What You Bring:

• Education: A Bachelor's degree in a quantitative field such as Econometrics, Mathematics, Statistics, Computer Science, or a similar area.

• Professional Experience: Up to 3 years of relevant experience in a similar analytical role.

• Scripting Proficiency: Strong, hands-on experience using Python, with a particular emphasis on data manipulation and transformation.

• Data Integration: Proven experience in designing, building, and maintaining data integrations, including data pipelines is a plus.

• SaaS Environment: Demonstrable experience working with and within a SaaS (Software as a Service) environment is a plus.

• Tech Stack: Proficiency with modern collaboration and development tools, including Jira, GitLab, Git, Confluence, and Google Suite.

• Global Collaboration: A track record of working effectively and collaboratively in geographically distributed teams.

Additional Information

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