The Nielsen Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Nielsen Business Intelligence Interview Guide

Getting ready for an Business Intelligence interview at Nielsen? The Nielsen Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Nielsen Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Nielsen.</li>
<li>Practice real Nielsen Business Intelligence interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Nielsen Business Intelligence interview.


Getting ready for an Business Intelligence interview at Nielsen? The Nielsen Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Nielsen Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Nielsen.
- Practice real Nielsen Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Nielsen Business Intelligence interview.
        

Overview

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Nielsen Business Intelligence Interview Process

We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.

Write a query to get the total three-day rolling average for deposits by day.

Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout

Example:

Input:

<code>bank_transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Rolling Bank Transactions

Suppose your company needs to cut costs due to an economic downturn. During a coffee break, you hear a rumor that a lot of money goes to employees who don’t do their work, and you decide to find out if the rumor is true.

Given two tables: <code>employees</code> and <code>projects</code>, find the sum of the salaries of all the employees who didn’t complete any of their projects.

Clarification:

We will consider a project unfinished if it has no end date (its <code>End_dt</code> is <code>NULL</code>).

Given this, we’ll say an employee didn’t finish any of their projects when:

<ul>
<li>They were assigned at least one project.</li>
<li>None of their projects have an <code>End_dt</code>.</li>
</ul>

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>id</th>
<th>salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
<code>projects</code> table

<table>
<thead>
<tr>
<th>employee_id</th>
<th>project_id</th>
<th>Start_dt</th>
<th>End_dt</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
<td>INTEGER</td>
<td>DATETIME</td>
<td>DATETIME</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>total_slack_salary</th>
</tr>
</thead>

<tbody>
<tr>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Find the total salary of slacking employees.

Slacking Employees Salaries

What are the logistic and softmax functions? What is the difference between the two?

What makes them useful for use in logistic regression?

In logistic regression, how is the predicted class determined based on the logistic function?

In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

Nielsen Business Intelligence Interview Questions

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth.

DESCRIPTION

Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within Boston area, MA.

QUALIFICATIONS:

Master's degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role.  Must have two (2) years of experience in/with:  advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within Boston area, MA. Salary: $119,600 to $155,000/year, M-F, 40 hours a week.

About Nielsen:

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

#LI-DNI

#IND-DNS

Company Description

MRI-Simmons Research is a leading consumer insights company? We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people! The innovative private equity firm, Symphony Technology Partners, also backs us.

Job Description

As Data Engineer, you will have following key accountabilities:
Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
Unit test and document solutions that meet product quality standards prior to release to QA.
Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.
Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.
Work with Data Architect and implement best practices for data governance, quality and security.
Collaborate with cross-functional teams to identify and address data needs.
Ensure technology solutions support the needs of the customer and/or organization.
Define and document technical requirements.
Qualifications

Now that we have introduced you to the position as Data Engineer, what skills, qualifications and experience should you, have?      Strong PL/SQL, SQL development skills
Proficient in multiple languages used in data engineering such as Python, Java.
Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL.
Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake).
Experience with cloud platforms like Azure and knowledge of infrastructure.
Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)
Understanding of data privacy regulations and best practices.
Experience working with remote teams
Experience working on a team with a CI/CD process.
Familiarity using tools like Git, Jira.
Great problem-solving abilities.
Great work ethics.
Bachelor's degree in Computer Science or Computer Engineering.
Additional Information

This role has a market-competitive salary with an anticipated base compensation of the following range: $64,000 to $120,000. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a Sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support, and more.

Our Benefits     Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights-delivered with advanced analytics through state-of-the-art platforms-NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.

For more information, visit NIQ.com

Want to keep up with our latest updates?

Follow us on: LinkedIn / Instagram / Twitter / Facebook

Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

As a Data Scientist, you'll develop data models to meet the needs of the organization's decision-making process. You are also responsible for managing the flow of information between departments through the use of relational databases and maintaining data integrity by working to eliminate redundancy.

Responsibilities:

Enable better decisions using the data.

Help solve client challenges (e.g., performance management, product or methodology evolution POC).

Translate clients’ requirements into actionable solutions or products.

Identify new business opportunities within our clients.

A Little Bit About You
You’ve dabbled in data, explored Python, and possess the communication skills to solve complex client challenges. You have experience working with global cross-functional teams and can develop data models that support organizational decision-making. Attention to detail and staying current with digital media measurement trends are essential. You're knowledgeable about big data and eager to influence the future.

Qualifications

Bachelor's or Master's degree in Statistics, Operations Research, or Econometrics with strong analytical skills and technical leadership.

Experience in quantitative analysis is preferred, with a solid educational background in engineering, statistical, or technical fields.

Knowledge of modeling techniques: Linear regression, Time series, K-means, Neural Networks, Decision Trees, Machine Learning, Deep Learning, etc.

Experience leading prototyping and supporting pilot programs for R&D, developing innovative scientific approaches to address complex business questions.

Proficiency in Python, R, SQL, or other statistical packages.

Effective communication skills with clients.

Experience with statistical techniques, market research methodologies, and understanding of consumer business complexities.

Strong project management and presentation skills, capable of explaining methodological and operational solutions to clients and leadership.

Additional Information
This role offers a competitive salary range of $55,500 - $90,000, depending on experience, qualifications, skills, and location. It may include sales or performance-based bonuses, along with benefits such as flexible working, health insurance, parental leave, life insurance, education support, and more.

US Benefits

Comprehensive healthcare (medical, Rx, dental, vision)

Flexible spending and Health Savings Accounts

Life and AD&D insurance

401(k) with company matching

Disability insurance

Tuition Reimbursement

Paid time off and holidays

Our Benefits

Flexible working environment

Volunteer time off

LinkedIn Learning access

Employee Assistance Program (EAP)

About NIQ
NIQ is a leading consumer intelligence company, providing comprehensive insights into consumer behavior through advanced analytics and state-of-the-art platforms. With operations in over 100 markets, NIQ covers more than 90% of the global population. In 2023, NIQ merged with GfK to strengthen its global reach.

Visit NIQ.com for more information.

Follow Us
Stay updated via LinkedIn, Instagram, Twitter, and Facebook.

Diversity, Equity, and Inclusion
NIQ is committed to diversity and inclusion, reflecting the communities and markets we serve. We invite candidates who share this mission to join us. We are an Equal Opportunity Employer, ensuring decisions are made without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or other protected classes. Learn more at our Diversity and Inclusion page.

#J-18808-Ljbffr

As a Machine Learning Engineer you will have following key accountabilities: <ul><li>Design, develop, test, deploy, maintain and enhance Machine Learning solutions using best software engineering practices </li><li>Implement machine learning solutions / pipelines which can scale, in cloud-based environments (AWS) utilizing containerized applications, distributed processing frameworks, CI/CD tools, airflow/ other orchestration tools, terraform/ other IAAC tools, monitoring solutions like Grafana </li><li>Optimize data science and machine learning models using code optimization, high performance computing </li><li>Define and implement best practices in Media Measurement’s Data Science solutions with a focus on end-to-end management of the model lifecycle using MLOps practices </li><li>Actively share Data Science knowledge within our organization and represent GfK’s Data Science expertise at conferences and workshops </li></ul> Qualifications Now you know what a Machine Learning Engineer does. What skills, qualifications & experience do you need for this job? <ul><li>Ability to fluidly communicate in an English business environment </li><li>PhD or master's degree that reflects computer science/engineering and statistical/mathematical skills and 2+ years of experience </li><li>Solid programming skills in languages such as Python and the respective Machine Learning ecosystem </li><li>Solid computer science/engineering fundamentals, including data structures, algorithms, computability and complexity and computer architecture, software design principles and patterns and testing strategies </li><li>Solid expertise in distributed computing in the cloud, dealing with enormous amounts of data and distributed computations </li><li>Knowledge of Math, Statistics and Machine Learning (e.g., statistical tests, classification, predictive modelling, handling of missing data, sampling, weighting) </li><li>Working experience with agile development practices is a plus </li></ul> Admittedly, this is a long list and we do not expect you to be able to tick off every single point on it. Learning on the job and formal trainings will help you to close potential knowledge gaps and quickly bring you up to speed.

<h3>Job Description</h3><div>Job Description<div>Company Description R25_0001526At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking for a Data Scientist to add to our team.Remote based role based in the US. Candidates must be physically located within the US.Job Description As a Data Scientist, you'll develop data models to meet the needs of the organization's decision-making process. You are also responsible for managing the flow of information between departments through the use of relational databases and maintaining data integrity by working to eliminate redundancy. Responsibilities:<ul><li>Enable better decisions using the data.</li><li>Help solve client challenges (e.g. performance mgmt., product or methodology evolution POC).</li><li>Translate Clients’ requirements to actionable solutions or products.</li><li>Identify new business opportunities within our clients. </li></ul>A LITTLE BIT ABOUT YOU You’ve dabbled in data. You’ve perused Python. And you have the communication chops to experience solving complex clients. While you’ve worked with global cross-functional teams, you can develop data models to meet the needs of the organization's decision-making process. Seeing the big picture takes attention to detail. Keeping up with the fast-changing world of digital media measurement takes someone who recognizes that. You know what’s happening in big data and you’re ready to influence what’s next. #LI-RemoteQualifications <ul><li>Bachelors or Masters degree in Statistics, Operations Research, or Econometrics with outstanding analytical expertise and strong technical leadership.</li><li>Experience in quantitative analysis is preferred, and a strong educational background in engineering, statistical or technical field. </li><li>Knowledge in modeling techniques and methodologies: Linear regression, Time series Regression, K mean, Neural Networks, Decision trees, Classification, Machine Learning, Deep Learning, etc. </li><li>Leads prototyping (what –ifs) as well as supporting pilot programs for R&D purposes. Develop creative scientific approaches to solve for client’s business questions that are currently not addressed with standard information available. Push the boundaries of a wealth of data to draw impactful insights to our clients. </li><li>Proficient in Python, R, SQL or other statistical packages. </li><li>Ability to communicate effectively with clients.  </li><li>Demonstrates experience in statistical techniques, market research methodologies, research processes, operations as well as knowledge of the complexity of consumer businesses and client needs. </li><li>Strong project management and communication skills. </li><li>Ability to present and explain methodological and operational solutions to clients and executive leadership. </li></ul> Additional Information This role has a market-competitive salary with an anticipated base compensation of the following range: $55,500 - $90,000. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.US Benefits<ul><li>Comprehensive healthcare plan (medical, Rx, dental and vision).</li><li>Flexible spending accounts and Health Savings Account (including company contributions).</li><li>Life and AD&D insurance.</li><li>401(k) retirement plan including company matching contributions.</li><li>Disability insurance.</li><li>Tuition Reimbursement.</li><li>Discretionary paid time off program and 11 paid holidays.</li></ul><div></div>Our Benefits<ul><li>Flexible working environment</li><li>Volunteer time off</li><li>LinkedIn Learning</li><li>Employee-Assistance-Program (EAP)</li></ul>About NIQNIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.For more information, visit NIQ.comWant to keep up with our latest updates?Follow us on: LinkedIn | Instagram | Twitter | FacebookOur commitment to Diversity, Equity, and InclusionNIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion</div></div>

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. Responsibilities<ul><li>Install, configure and maintain middleware technologies (experience with any of these: Websphere, Weblogic, Tomcat, JBoss, Kafka, RabbitMQ or similar).</li><li>Ensure high availability, scalability and reliability of middleware systems.</li><li>Design and implement solutions for system and application integration.</li><li>Automate routine tasks, processes, legacy data fusion.</li><li>Optimize middleware performance and recommend improvements.</li><li>Design and development of middleware components.</li><li>Design and implement API necessary for the integration and or data consumption.</li><li>Work independently and collaboratively on a multi-disciplined project team in an Agile development environment.</li><li>Be actively involved in the design, development and testing activities for Big data product.</li><li>Provide feedback to development teams on code/architecture optimization.</li></ul> Qualifications <ul><li>Hands-on experience developing Java, Spring, Python.</li><li>Hands-on experience with the Spring Tool Suite to include Spring Boot, Spring Boot Oauth, Spring Security, Spring Data JPA, and Spring Batch</li><li>Understanding Relational Databases, such as Oracle, SQL Server, MySQL, Postgres or similar.</li><li>Fluency in Java/J2EE, JSP, Web Services. Must have experience with JAVA 8 or higher. </li><li>Experience with JMS, Kafka, IBM MQ or similar.</li><li>Experience using software project tracking tools such as Jira.</li><li>Familiarity with Azure services.</li><li>Proven experience with CI/CD. Proven experience with Jenkins, Ansible, Docker, Kubernetes.</li><li>Proven experience with version control (Github, Bitbucket).</li><li>Familiarity with Linux OS/concepts</li><li>Strong written and verbal communication skills.</li><li>Self-motivated and ability to work well in a team.</li></ul>

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth. DESCRIPTION Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within New York area, NY. QUALIFICATIONS: Master's degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role. Must have two (2) years of experience in/with: advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within New York area, NY. Salary: $119,600 to $155,000/year, M-F, 40 hours a week. About Nielsen: Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #LI-DNI #IND-DNS

Nielsen Global Media collects billions of data points on what consumers watch and buy. We study consumers in more than 100 countries, and help our clients globally identify unmet needs, develop new products and deliver them in an engaging way. We are constantly evolving, not only in terms of where we measure, or who we measure, but in how our insights can help drive profitable growth.

DESCRIPTION

Develop and apply machine learning and predictive models to enhance digital measurement. Engineer predictive features for use in our current data modeling pipelines. Manage projects through all phases, including data quality, analysis design, algorithm/feature development, predictive modeling, summarization, visualization, and communication of results. Enhance and evolve existing solutions to meet changing business needs with agility. Independently develop custom production level Python and SQL code. Use Git and cloud development tools extensively to iterate and improve data science work streams. Write well documented production level Python scripts and participate in code reviews. Collaborate with our software engineers and product leaders as you integrate and test new or updated modules in production pipelines. Identify gaps in data capture or data quality, and surface the value attached to filling those gaps. Perform deep dive analysis of key business trends from different perspectives and package the insights into easily consumable presentations and documents using visualization tools such as Tableau. Serve as critical Data Science subject matter expert, initiate methodology discussions with relevant stakeholders, and provide final Data Science recommendations. Remote work permitted five (5) days a week from within New York area, NY.

QUALIFICATIONS:

Master's degree (foreign equivalent degree acceptable) in Mathematics, Statistics, Computer Science, Engineering, Machine Learning, Information Science or related field and two (2) years of experience in a data science role.  Must have two (2) years of experience in/with:  advanced coding in Python and SQL; code development using Git and code versioning; cloud-based environments, including AWS; Microsoft Excel or Google Sheets; and Tableau; building and maintaining Machine Learning or Deep Learning based methodologies. Remote work permitted five (5) days a week from within New York area, NY. Salary: $119,600 to $155,000/year, M-F, 40 hours a week.

About Nielsen:

Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

#LI-DNI

#IND-DNS

Nielsen Business Intelligence Interview Guide

Overview

Nielsen Business Intelligence Interview Process

Nielsen Business Intelligence Interview Questions

Nielsen Business Intelligence Jobs