Analyst (2+ yrs experience in Excel or Google Sheets) - Bangalore(Hybrid)

To apply for the Analyst position at Nielsen in Bangalore, you should have at least 2 years of experience in data analysis, preferably in market research, finance, or similar fields. Strong skills in Excel or Google Sheets are essential, as well as a keen eye for detail. Bonus skills include knowledge of SQL or Python!

As an Analyst at Nielsen in Bangalore, your responsibilities will include analyzing panelist behavior, creating and maintaining quality control reports, and monitoring key metrics for measurement products. You’ll also be managing panel health and collaborating with technicians to resolve any data integrity issues.

The Analyst role at Nielsen plays a crucial part in delivering high-quality audience measurement data. Your analyses influence how companies understand audience behavior across multiple platforms, ensuring that they have the insights needed to drive growth and optimize their strategies.

As an Analyst at Nielsen, you will be primarily working with Excel or Google Sheets to create reports and analyze data sets. Familiarity with SQL and Python for more advanced data manipulation and visualization will also be beneficial.

Yes, the Analyst position at Nielsen is a hybrid role, meaning you’ll have the flexibility to work both remotely and onsite in Bangalore. This set-up allows you to balance work and life while collaborating effectively with your team.

The ideal candidate for the Analyst role at Nielsen is someone with a strong analytical mindset, attention to detail, and a passion for data. You should thrive in a fast-paced environment and possess excellent communication skills to collaborate effectively with different teams.

Nielsen is committed to the professional growth of its employees, including Analysts. You'll have opportunities to develop your skills through various training programs, and you’ll be encouraged to voice your innovative ideas to enhance processes and technologies.

In your response, describe your approach to data analysis, including the tools you use, the type of data sets you prefer, and how you typically visualize the trends you uncover using graphs or charts. Be sure to highlight specific past experiences.

Discuss your problem-solving skills and provide an example of a time you encountered data discrepancies. Outline the steps you took to identify the source of the error and how you resolved it.

Outline the methods you employ for quality control, such as cross-referencing data with other sources, conducting regular audits, or utilizing data validation tools. Emphasize your attention to detail.

Share a specific project where you utilized Excel or Google Sheets, detailing the objective, your approach (such as the use of formulas or pivot tables), and the positive outcome it yielded.

Discuss your time management skills and how you prioritize tasks based on deadlines and impact. You might mention tools like to-do lists or project management software that help keep you organized.

Talk about your methods for staying informed, such as following industry publications, participating in webinars, or engaging with professional networks to understand evolving methodologies in audience measurement.

Provide insights into how you’ve worked with teams outside your immediate role, what steps you took to ensure effective communication, and how collaboration improved project outcomes.

Outline your thought process for forecasting recruitment needs, including the factors you’d consider, data analysis methods you’d apply, and how you’d communicate your findings to stakeholders.

Discuss the importance of data integrity in your work and specify the methods you use to uphold it, such as validating sources, running consistency checks, and ensuring accuracy across all data entries.

Share your motivations for wanting to work at Nielsen specifically, emphasizing your passion for data, interest in media measurement, and desire to contribute positively to the industry, showcasing your alignment with the company’s goals.