[Remote] Sr Data Analyst

Note: The job is a remote job and is open to candidates in USA. Houghton Mifflin Harcourt is a learning technology company providing connected K–12 learning solutions, with NWEA supporting students and educators through research, assessment, 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 organizational decision-making. The role partners with researchers and stakeholders to build reliable, reproducible data workflows, conduct analyses, assure data quality, and communicate data insights and limitations.

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

• 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
• 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
• 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
• 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

Benefits

• Remote (U.S.)

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