Data Analyst - 22622BR

Data Analyst

Achievement & Assessment Inst
University of Kansas Lawrence Campus
Work Location Assignment: 
Employee Class: 
U-Unclassified Professional Staff

Position Overview

Accessible Teaching, Learning and Assessment Systems (ATLAS) promotes learning and improved outcomes for all students and their educators. Our primary focus is supporting students with disabilities and struggling learners. We create technology-based learning and assessment systems that are accessible and academically rigorous.

We specialize in map-based learning systems, informed by research on skill development, assessment design, and teacher professional development. Every program and project in our diverse portfolio of operational and grant-funded research strategically aligns with our student- and educator-focused mission. Our work is also supported by multiple strategic partnerships with organizations that share our focus and commitment to quality learning experiences for all students.

In addition to grant-funded research projects, ATLAS develops and delivers state assessments. Our largest assessment system is the Dynamic Learning Maps® (DLM®) Alternate Assessment System. DLM alternate assessments are designed to assess students with the most significant cognitive disabilities in English language arts, mathematics, and science. We also offer custom social studies alternate assessments. Our broader state assessments include the Kansas Assessment Program and the Kansas English Language Proficiency Assessment.

As an organization, ATLAS is committed to creating policies and practices that foster a diverse, equitable, and inclusive work environment in which all employees feel they belong and can succeed.

ATLAS is seeking a Data Analyst with a background in educational measurement to contribute to the delivery of operational assessments, research projects supporting the use of the assessments, and dissemination efforts. The data analyst will manage, clean, and join moderately large data sets; perform moderately complex data analyses using R and other statistical programs as needed; create tables and graphs to communicate findings and contribute to written reports; collaborate with peers to develop, implement, and maintain R packages; and participate in professional development to maintain knowledge of current industry trends. This is a full-time (40 hours/week), unclassified position at the Lawrence campus, with occasional off-site meetings. We will consider an exclusively remote staff person outside of the Lawrence, KS area for this position.

KU offers great benefits to employees with up to 176 hours of paid vacation per year, 72 hours of sick leave earned per year, nine paid holidays plus one discretionary day, a retirement program, medical & dental insurance, life and disability insurance, other benefit plan options and State of Kansas discounts offered by various vendors. KU also offers employees educational and professional development opportunities. KU is a great place to work! See for more details.

Job Description

60% - Contribute to research projects in support of ATLAS projects. Duties include cleaning data, conducting, moderately complex data analyses, creating informative graphics and tables, writing narrative text interpreting findings, and ensuring the accuracy of research outputs.

20% - Contribute to the development of programs and/or software. Developments will include streamlining new and existing workflows and analyses, creating and maintaining internal and publicly available R packages, and maintaining R Markdown and Quarto templates for automated report generation.

10% - Other duties to support the research and psychometric activities of ATLAS projects. This may include literature reviews, data support, and methodological consulting.

5% - Present to various audiences. Presentations may include Technical Advisory Committees and at professional conferences.

5% - Other duties as assigned.

Position Requirements

  • This position will require attendance at regularly scheduled meetings, onsite or through telecommunication platforms.
  • This position allows for a telework or hybrid work location for well-qualified candidates. A telework position may be required to travel to Lawrence up to four times per year.

Required Qualifications

  • Master’s degree in applied statistics, data science, quantitative psychology, or related field; or Bachelor’s degree and three years of relevant experience.
  • Proficiency with R as evidenced by application materials (e.g., link to GitHub profile or project with available code).
  • Excellent attention to detail in written work, as evidenced by application materials.
  • Effective verbal, written, and interpersonal communication skills for a variety of audiences, as evidenced in written application materials and interview.
  • Detail oriented with strong organizational skills, as evidenced by application materials.

Preferred Qualifications

  • Experience in educational measurement or psychometrics, specifically with diagnostic classification models (also known as cognitive diagnostic models).
  • Experience practicing data science across scientific and/or practical domains.
  • Experience writing and sharing open-source code, including R packages, using version control (GitHub) and project management tools.
  • Experience communicating quantitative information to non-technical audiences.
  • Proven ability to effectively collaborate with internal and cross-functional teams.
  • Proven ability to multitask, prioritize projects, and adhere to deadlines.
  • Ability to work in a fast-paced, collaborate environment and respond quickly, creatively, and flexibly.

Additional Candidate Instructions

A complete application includes
  • Complete online application
  • Résumé,
  • Cover letter detailing your professional experiences that align with the required and preferred qualifications,
  • Contact information for three professional references, and
  • A link to your Git Hub profile or share a project with available code.

Incomplete applications will not be considered.

Review of applications begins on 7/20/22 and continues as needed to collect a pool of qualified applicants. To ensure consideration, apply before the application review date

Contact Information to Applicants

Cynthia Perez

Advertised Salary Range

Minimum $60,000; commensurate with experience.

Work Schedule

M-F; 8-5

Application Review Begins


Anticipated Start Date


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Posting Information
Posting ID:
Achievement & Assessment Inst
Primary Campus:
University of Kansas Lawrence Campus
Work Location Assignment:
Employee Class:
U-Unclassified Professional Staff
Application Review Begins: