Note: The job is a remote job and is open to candidates in USA. McGraw Hill is a leading provider of digital and print educational resources, and they are seeking a Content Data Analyst & Researcher for their Higher Education team. This role involves providing analytical rigor and market intelligence to drive evidence-based content decisions, while also establishing data pipelines and performance dashboards to optimize content.
Responsibilities
- Conduct structured curriculum, market, and competitive research across relevant disciplines, analyzing course structures, learning objectives, topic coverage, industry trends, competitor offerings, pricing, formats, go-to-market strategies, product-market fit indicators, and emerging developments in education, academia, professional fields, and educational technology to identify opportunities, gaps, and future curriculum needs
- Build, maintain, and continuously improve organized research repositories, knowledge bases, content management systems, documentation standards, tagging taxonomies, competitive matrices, trend logs, watchlists, and tracking tools that support scalable operations, AI content ecosystems, prompt development, content accuracy verification, benchmarking, governance standards, and accessible knowledge sharing
- Synthesize and integrate secondary research, primary research, customer feedback, sales data, platform analytics, instructor input, and market intelligence into actionable insights, curriculum recommendations, product proposals, curricular spines, topic hierarchies, investment cases, ROI analyses, and data-driven recommendations that inform portfolio strategy, content planning, and new product development
- Design, maintain, and analyze data collection frameworks, dashboards, QA metrics, content performance indicators, learner engagement trends, quality measures, production velocity data, and dynamic content delivery signals to identify improvement opportunities, measure production impact, support evergreen content updates, and enable AI-driven optimization
- Plan, facilitate, and analyze customer research initiatives—including focus groups, user research sessions, discussion guides, surveys, research instruments, synthesis frameworks, and ongoing feedback repositories—while building relationships with educators, learners, partner institutions, and stakeholders to capture longitudinal insights and ensure product decisions reflect real user needs
- Collaborate closely with the Curriculum Strategy Manager, Content QA Specialist, Pod leadership, and cross-functional stakeholders within an agile environment to communicate research progress and findings, adapt priorities and methodologies, improve workflows and processes, leverage AI tools and emerging research techniques, maintain expertise in analytics and automation technologies, and demonstrate a continuous improvement and fail-fast learning mindset
Skills
- Bachelor's degree (or equivalent experience) in Data Science, Research Methods, Education, Business Analytics, Information Science, Communications, or a related field
- 3+ years of experience in data analysis, market research, content/learning analytics, and conducting qualitative and quantitative research, including synthesizing findings and communicating actionable insights
- Strong analytical and technical skills, including proficiency with data visualization and analytics tools (e.g., Tableau, Power BI)
- Experience with secondary market research, competitive analysis, industry trend tracking, and the ability to contribute to investment case development and ROI analysis
- Demonstrated experience maintaining documentation systems, databases, content repositories, CMS/DAM platforms, content tagging systems, taxonomies, content metadata, learning object analytics, and familiarity with AI-driven content ecosystems
- Excellent written, verbal, and presentation skills, with the ability to communicate complex data to non-technical audiences
- Experience or familiarity with higher education, EdTech, educational publishing, curriculum development, agile or iterative project environments
- Strong ability to manage multiple workstreams in ambiguous, fast-paced settings while leveraging AI tools to enhance research and analysis workflows
- Advanced degree in a relevant discipline
Benefits
- Full range of medical and/or other benefits may be provided, depending on the position offered
Company Overview