Statistical Analyst

Minneapolis, MN, United States

Pearson

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The Statistical Analyst will use their knowledge of data management, statistical programming, quality assurance procedures, and statistical reporting to support the development of licensure and certification exams and ensure quality of data files and technical reports. 

SCOPE AND IMPACT OF JOB

Work closely with the Measurement and Research staff to automate and streamline data cleaning and preparation, statistical and psychometric analysis, and the production of technical reports.  The Stat Analyst also serves as the technical liaison between Measurement and Research staff and the software developers responsible for VUE’s Business Intelligence.  

REQUIRED KNOWLEDGE AND EXPERIENCE 

Education and Experience: 

  • Master’s degree in statistics or related quantitative field.
  • Bachelor’s degree in statistics or related quantitative field and 2 years of experience in a similar role.
  • Two or more years of experience using Python, R, and/or related tools for data management and statistical analysis, preferably in educational or professional testing.
  • Strong MS Office skills.

 Skills, Knowledge, and Abilities: 

  • Familiarity with the principles of test construction, classical and IRT-based item analysis, and item calibration, linking, and equating preferred.
  • Experience working with large datasets and a variety of data structures (relational database).
  • Ability to summarize complex technical information and communicate it to a variety of audiences.
  • Excellent organizational skills: ability to handle multiple projects simultaneously.
  • Strong analytical and problem-solving skills.
  • Effective decision-making skills.

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 also 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 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 creating a workplace where talent can learn, grow and thrive.

Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. All employment is decided 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.

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 TalentExperienceGlobalTeam@grp.pearson.com.

To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: http://www.pearson.com/careers/diversity-and-inclusion.html.

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  2  0
Category: Analyst Jobs

Tags: Business Intelligence Data management Finance Python R RDBMS Research Statistics Testing Vue

Perks/benefits: Career development

Region: North America
Country: United States

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