Director, People Operations Salary at Nielseniq BETA

How much does a Nielseniq Director, People Operations make?

As of December 2024, the average annual salary for a Director, People Operations at Nielseniq is $197,383, which translates to approximately $95 per hour. Salaries for Director, People Operations at Nielseniq typically range from $178,966 to $212,272, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

NielsenIQ Overview

Website:
nielseniq.com
Size:
15,000 - 50,000 Employees
Revenue:
$5B - $10B
Industry:
Business Services

Founded in 1923, NielsenIQ is a company that provides data analytics, consumer intelligence, and retail intelligence to manufacturers and retail businesses among other industries. They are based in Chicago, Illinois.

See similar companies related to Nielseniq

What Skills Does a person Need at Nielseniq?

At Nielseniq, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. HRIS: HRIS is a management system designed specifically to provide managers with information to make HR decisions. Is a system that lets you keep track of all your employees and information about them.
  2. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  3. Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
  4. Plumbing: Plumbing is any system that conveys fluids for a wide range of applications. Plumbing uses pipes, valves, plumbing fixtures, tanks, and other apparatuses to convey fluids. Heating and cooling (HVAC), waste removal, and potable water delivery are among the most common uses for plumbing, but it is not limited to these applications. The word derives from the Latin for lead, plumbum, as the first effective pipes used in the Roman era were lead pipes. In the developed world, plumbing infrastructure is critical to public health and sanitation. Boilermakers and pipefitters are not plumbers although they work with piping as part of their trade and their work can include some plumbing.
  5. Initiative: Taking decisive action and initiating plans independently to address problems, improve professional life, and achieve goals.

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Check more jobs information at Nielseniq

Job Title Average Nielseniq Salary Hourly Rate
2 Account Executive & Trainee $92,350 $44
3 Account Manager $97,419 $47
4 Accounting Controller $304,931 $147
5 Accounting Team Lead $148,899 $72
6 Accounts Payable Associate $59,855 $29
7 Accounts Payable Specialist $59,855 $29
8 Administration Assistant $77,293 $37
9 Administration Executive $105,563 $51
10 Advanced Analytics $167,841 $81
11 Analytical Consultant $167,841 $81
12 Analytics Analyst $84,086 $40
13 Analytics Data Analyst $102,128 $49

Hourly Pay at Nielseniq

The average hourly pay at Nielseniq for a Director, People Operations is $95 per hour. The location, department, and job description all have an impact on the typical compensation for Nielseniq positions. The pay range and total remuneration for the job title are shown in the table below. Nielseniq may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $197,383 look to you?

FAQ about Salary and Jobs at Nielseniq

1. How much does Nielseniq pay per hour?
The average hourly pay is $95. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Nielseniq?
According to the data, the highest approximate salary is about $212,272 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Nielseniq?
According to the data, the lowest estimated salary is about $178,966 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.