Pearson is the world’s learning company, operating in nearly 200 countries around the world, with over 20,000 employees. We provide content, assessment and digital services to schools, colleges and universities, as well as professional and vocational education to learners to help increase their skills and lifelong employability prospects. We aim to support learners throughout their lifetime for every moment that matters – whether this is exam preparation and success, graduating from university, getting a new job, studying for a postgraduate degree, changing career, or looking for a new challenge.
From world-class assessment to virtual learning and beyond – we create the products and services that help tens of millions of people reach their goals each year. And we make sure our products fit with our key sustainability targets – to make learning accessible to everyone, to lead responsibly, and to give the next generation the skills they need to shape a better world.
Our vision is to have a direct relationship with millions of lifelong learners and to link education to the way people aspire to live and work every day. To do that, we will collaborate with a wide group of partners to help shape the future of learning. Our purpose is to help people make progress in their lives through learning.
We also believe we are at our best when we harness the unique skills, perspectives, and backgrounds of every employee.
The Assistant Statistical Analyst position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team. Pearson research scientists provide the full range of psychometric support to state and national customers, develop innovative techniques and processes, and conduct cutting-edge research studies.
Pearson Statistical Analysts provide data analysis support to Psychometricians to deliver large-scale custom assessment programs. Our Statistical Analysts are strong problem solvers who can leverage and extend existing analysis procedures to perform analysis tasks, are well-organized, and display the ability to collaborate. We are looking for candidates with strong technical and data analysis skills who are able to handle ambiguity and are looking for a challenge.
Compensation
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado, California, Washington State, New York State and New York City laws, the pay range for this position is as follows:
The minimum full-time salary is $53,500 annually.
This position is eligible to participate in an annual incentive program, and information on benefits offered is here .
General Duties and Responsibilities
Takes direction from Ph.D. level research staff
Conducts analyses using exploratory techniques such as data mining, data summarization, and statistics.
Executes and debugs existing analysis tools according to specifications.
Executes software development discipline.
Work with a variety of data structures and with files that are moderately complex.
Evaluates the suitability of data for specific analysis purposes.
Evaluates outcomes from analyses to determine the accuracy, quality, and usability of those outcomes for the purposes for which they were conducted.
Prepares, formats, and manages data for use by internal groups.
Work directly with subject matter experts and technology staff to fulfil contract deliverables.
Meets schedules while working independently, sometimes in high-pressure situations.
Travels to fulfil some tasks. Travel is expected to be 5% to 10%,and is typically scheduled in advance.
What our employees have in common, regardless of collegiate background or training, are: strong quantitative skills, strong problem-solving skills, and strong communication/collaboration skills that can be applied to routinely ambiguous situations that involve large amounts of data. The education, experience, and responsibilities associated with this position include:
Education and Work Experience
- Bachelor's degree & evidence of success in quantitative courses (e.g., statistics) or software programming/development courses
Familiarity with Psychometric Principles and Theory
Evidence of direct experience in basic item and test analysis, and evaluation of outcomes from analyses
OR evidence of success in coursework that prepares candidates for large scale data analysis (e.g., computer programming, statistics, etc.)
Familiarity with Data Structures and Office Software
Preferred candidates have demonstrated experience with statistical analysis platforms such as SAS or R;
OR demonstrated experience with software languages such as C#, Python or Java
OR evidence of success in coursework that prepares candidates to work with structured programming languages or techniques
Exhibits basic experience in using office software such as Word and Excel
Exhibits basic experience working with a variety of data files and folder organizations
Experience with Software Development Principles
Evidence of software development discipline
OR evidence of success in coursework that prepares candidates for software development (version control, properly identified variable names, etc.)
Communication Skills
- Possesses strong communication skills, (oral, written, and business). Our employees must have the ability to independently collect specifications and document the solutions they will implement.
Coordination and Task Management Skills
- With guidance from senior staff, able to perform work according to schedule and coordinate work across members of their team .
This position is not considered a specialty occupation, and therefore does not qualify for H1B or Green Card sponsorship.
What to expect from Pearson
Did you know Pearson is one of the 10 most innovative education companies of 2022?
At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.
We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ppsmhr@pearson.com.
Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
Job: PROFESSIONAL DEVELOPMENT
Organization: Assessment & Qualifications
Schedule: FULL_TIME
Req ID: 13778
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