Job Description

NWEA® is a division of HMH that supports students and educators through research, assessment solutions, policy and advocacy services, professional learning and school improvement services that fight for equity, drive classroom impact and push for systemic change in our educational communities. For nearly 50 years, NWEA has developed innovative pre-K–12 assessments, including their flagship interim assessment, MAP® Growth™ and their reading fluency and comprehension assessment, MAP® Reading Fluency™. For more information, visit NWEA.org to learn more.

HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K–12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students’ potential and extend teachers’ capabilities. HMH serves more than 50 million students and 4 million educators in 150 countries. For more information, visit www.hmhco.com

Location: Remote (U.S.)

What you’ll do:

Working in the NWEA Learning Sciences division, the Sr Data Analyst will support the Research and Policy Partnerships team by making complex assessment and product data accessible, reliable, and usable for research, reporting, and organizational decision-making. This role will work with large-scale education datasets and build efficient, reproducible processes for extracting, transforming, and preparing data for analysis.

The Sr Data Analyst will partner closely with researchers and internal stakeholders to understand data needs and translate them into accurate, efficient data solutions. Responsibilities will include:

• Use SQL, Python, and/or R to extract, clean, transform, link, and prepare large-scale assessment and product datasets for research and analysis.
• Develop and maintain reproducible data workflows and pipelines that improve the efficiency, consistency, and scalability of recurring data needs.
• Conduct data pulls and analyses of HMH product usage data to support Product Efficacy and Validation and other internal stakeholders.
• Partner with researchers to translate research questions and analytic specifications into appropriate datasets and data structures.
• Design and conduct quality assurance procedures to ensure data accuracy, completeness, and consistency.
• Document data sources, definitions, code, and processes so that workflows are transparent, reproducible, and maintainable by others.
• Troubleshoot data issues and investigate unexpected patterns or discrepancies in collaboration with researchers and other data experts.
• Identify opportunities to automate or streamline recurring data processes and improve how the team accesses and uses data.
• Communicate clearly with technical and nontechnical colleagues about data availability, limitations, definitions, and appropriate use.

What you’ll need:

Required:

• Experience: 2-5 years of relevant experience (or combined experience and coursework).
• Degree: M.S. in statistics, education, psychology, economics, or a related field.
• Technical:
  • Expertise in advanced data manipulations, processing large datasets, and optimization of code.
  • Proficiency in Python and/or R for data processing, manipulation, automation, and analysis.
  • Strong SQL skills and demonstrated experience querying and manipulating large, complex datasets.
  • Strong attention to detail and demonstrated ability to independently troubleshoot complex data problems.
• Experience in:
  • Designing and conducting quality assurance procedures to ensure correct data and accurate results.
  • Understanding analytic or research requirements and translating them into appropriate data specifications and solutions.
  • Documenting technical processes clearly and collaborating effectively with researchers and other technical and nontechnical colleagues.

Preferred:

• Experience working with Snowflake, Postgres, Amazon Redshift, or other cloud-based data warehouse/database systems.
• Experience working with large-scale education, assessment, longitudinal, or product usage data.
• Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.
• Experience working in a collaborative research environment or supporting quantitative researchers.

How We Work (Competencies)

• Communicates Effectively Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.
• Instills Trust Gaining the confidence and trust of others through honesty, integrity, and authenticity.
• Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
• Optimizes Work Processes Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
• Manages Complexity Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems.

Physical Requirements

• Might be in a stationary position for a considerable time (sitting and/or standing)
• Constantly operate a computer
• Must be able to collaborate with colleagues via face to face, conference calls, and online meetings
• Must be capable of sitting, standing, and walking for extended periods of time.

Benefits and Salary Range:

Salary Range - $80,000 to $95,000. Our salary ranges are based on national averages. We have wide ranges so we can be flexible and determine compensation based on a number of factors including the candidate’s skills, experience, education, and location.

Our Culture and Benefits - https://careers.hmhco.com/culture_benefits

Application Deadline:

August 25, 2026. We encourage you to apply as soon as possible. The posting may be available past this date but is not guaranteed.

HMH is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to race, gender, color, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national origin, ancestry, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We actively participate in E-Verify.