Note: The job is a remote job and is open to candidates in USA. HMH is a learning technology company that provides connected K–12 education solutions, curriculum, assessments, and professional learning services. The Sr Data Analyst will support the Research and Policy Partnerships team by preparing large-scale assessment and product data for research, reporting, and decision-making, while developing reproducible workflows, ensuring data quality, and collaborating with researchers and stakeholders.
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
Skills
- **Experience:**2-5 years of relevant experience (or combined experience and coursework)
- **Degree:** 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
- 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
- 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
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