Senior Data Analyst

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Assist the Research and Policy Partnerships team by ensuring that complex assessment and product data is accessible, reliable, and user-friendly.

• Utilize SQL, Python, and/or R to extract, clean, transform, link, and prepare extensive assessment and product datasets.

• Create and maintain reproducible data workflows and pipelines.

• Execute data pulls and analyses of HMH product usage data for Product Efficacy and Validation as well as for internal stakeholders.

• Collaborate with researchers to convert research inquiries and analytic specifications into datasets and data structures.

• Design and implement quality assurance procedures.

• Document data sources, definitions, code, and processes comprehensively.

• Resolve data issues and explore unexpected patterns or discrepancies.

• Identify opportunities to automate or enhance recurring data processes.

• Communicate data availability, limitations, definitions, and appropriate usage to both technical and non-technical colleagues.

• Operate a computer and engage with colleagues through meetings, calls, and online platforms.

⛳️ Requirements

• 2-5 years of relevant experience (or a combination of experience and coursework).

• M.S. in statistics, education, psychology, economics, or a related discipline.

• Proficiency in advanced data manipulations, processing large datasets, and optimizing code.

• Expertise in Python and/or R for data processing, manipulation, automation, and analysis.

• Strong SQL skills with demonstrated experience in querying and manipulating large, complex datasets.

• Exceptional attention to detail and the ability to independently troubleshoot complex data issues.

• Experience in designing and executing quality assurance procedures.

• Experience in translating analytic or research needs into data specifications and solutions.

• Experience in documenting technical processes clearly and collaborating with researchers as well as technical and non-technical colleagues.

• Preferred: Familiarity with Snowflake, Postgres, Amazon Redshift, or other cloud-based data warehouse/database systems.

• Preferred: Experience with large-scale education, assessment, longitudinal, or product usage data.

• Preferred: Knowledge of Tableau or Power BI.

• Preferred: Experience in a collaborative research setting or supporting quantitative researchers.

• Must be able to sit, stand, and walk for extended periods.

• Must be able to collaborate through face-to-face meetings, conference calls, and online meetings.

🏝️ Benefits

• Salary range of $80,000 to $95,000.

• Equal Employment Opportunity workplace.

• Work environment free from discrimination and harassment.