Sr Data Analyst

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™. HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes.

About the role

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.

Responsibilities

• 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.

Requirements

• 2-5 years of relevant experience (or combined experience and coursework).
• M.S. in statistics, education, psychology, economics, or a related field.
• 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 designing and conducting quality assurance procedures to ensure correct data and accurate results.
• Experience understanding analytic or research requirements and translating them into appropriate data specifications and solutions.
• Experience documenting technical processes clearly and collaborating effectively with researchers and other technical and nontechnical colleagues.

Preferred Qualifications

• 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.

Skills

• 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.

Pay

Salary Range: $80,000 to $95,000. Ranges are based on national averages and compensation is determined by factors including skills, experience, education, and location.

Benefits

For details on our culture and benefits, visit HMH Careers.