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At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.

ABOUT THE ROLE

We seek a skilled professional to join our Global Support in Campaign Analytics.

In this role, you will provide technical system support to modelling/operations teams, support product leadership in development across regions, and work with external data partners to automate, monitor, and escalate issues with data ingestion. This position will work closely with tech, data science, product, operations, and consulting teams to provide tool support, documentation, guidance, and analysis within the Campaign Analytics space.

ROLE RESPONSIBILITIES

Provide timely and effective resolution to internal customer issues, ensuring high customer satisfaction.

Collaborate with product, tech, Dsci teams to address L1 and L2 issues

Manage and escalate technical issues to the appropriate teams, ensuring swift resolution.

Foster effective communication between front-end (Sales/Delivery/Research/Ops) and back-end ( Product, Tech, and DSCI) teams.

Collaborate with product and tech teams to minimize customer/client impact during critical incidents.

Work closely with tech and DSCI teams to resolve technical challenges and improve product performance.

Participate in product meetings to provide insights from a support perspective.

Participate in cross-functional meetings to enhance collaboration and address challenges.

Diagnose and troubleshoot technical issues reported by customers or internal teams.

Provide clear and concise instructions for common technical issues.

Identify recurring technical issues and collaborate with Product, Tech, and DSCI teams to implement long-term solutions.

Collect and analyze user feedback on technical issues, ensuring insights are shared with relevant teams for continuous improvement.

Propose improvements to product features based on internal customer feedback and support experience.

Analyze support data, identify patterns, and contribute to data-driven decision-making processes for Support.

Utilize data insights to anticipate potential technical issues and implement proactive solutions.

Manage data ingestion processes in AWS and MDL

Distribute data alerts to end users

Collaborate with data vendors to maintain an accurate market ID and item characteristic database

Provide timely access to internal Nielsen tools and platforms

Generate feasibility and sales reports to share with delivery teams by using VBA and Python automation

Develop and maintain in-depth knowledge of Campaign Analytics products, including their features, functionalities, and updates.

Create and update technical documentation, FAQs, and knowledge base articles to assist internal teams.

Communicate product changes and updates to the technical support team.

Create and maintain process automation in Python, VBA, and Google script

QUALIFICATIONS & SKILLS

Excellent critical thinking and the desire to seek solutions for novel situations as they arise

Attention to detail – quality, and accuracy in all work and interactions

A self-motivated, curious learner with the ability to work collaboratively and willingness to lean in – need to jump in quickly, adapt, and work in a collaborative team environment, managing multiple tickets/projects at once

Ability to collaborate across different stakeholder groups

Agile and open-minded, resilient with an enthusiasm for problem-solving.

Quick learner with a logical mindset and analytical thinking who is passionate about technology

Excellent communication and interpersonal skills. Friendly, motivated, dynamic, ambitious, and a team player!

Strong project management skills - being organized, taking ownership, using initiative & being proactive

General Qualifications

1-3+ years experience in analytics and/or survey program

Bachelor’s Degree/ B.Tech/BE in Computer Science/Engineering or any IT-related fields

Experience with Python 3.8+ and its various libraries (pandas, pyspark, postgres, numpy, etc..) is a must

Some knowledge of VBA or Google Script with a willingness to advance and learn these languages in depth

Strong problem-solving skills with the ability to learn things quickly in a challenging environment and think outside the box

Stats background a plus

Technical proficiency in Office/Google Suite of software solutions

Excellent verbal and written communication skills

Ability to work independently in a fast-paced environment

Previous experience working with engineering or data science teams or in customer support a plus

Knowledge of Nielsen IQ data a plus

The position involves regular night shifts

ABOUT NIELSEN

As the arbiter of truth, Nielsen Global Media fuels the media industry with unbiased, reliable data about what people watch and listen to. To discover what’s true, we measure across all channels and platforms—from podcasts to streaming TV to social media. And when companies and advertisers are armed with the truth, they have a deeper understanding of their audiences and can accelerate growth.

Do you want to move the industry forward with Nielsen? Our people are the driving force. Your thoughts, ideas and expertise can propel us forward. Whether you have fresh thinking around maximizing a new technology or you see a gap in the market, we are here to listen and act. Our team is made strong by a diversity of thoughts, experiences, skills, and backgrounds. You’ll enjoy working with smart, fun, inquisitive colleagues, who are passionate about their work. Come be part of a team that motivates you to do your best work!

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $6,000 - $8,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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