• Collaborate with Product Managers, Business Stakeholders, and Engineering teams to gather, analyze, and document business requirements • Translate business requirements into detailed functional and technical specifications • Define product features, acceptance criteria, user stories, and business workflows • Analyze large datasets to identify trends, business insights, and optimization opportunities • Work with GCP Data Engineering teams to deliver scalable analytics solutions • Develop business dashboards and executive reports

Role Description Are you interested in making a difference in the lives of others? The McGraw Hill Higher Education team thrives on building meaningful relationships with educators to maximize the potential of every learner. This is a unique opportunity to have a far-reaching impact on student success as well as impact the educational technology industry. McGraw Hill, the leading provider of digital and print educational resources, is looking for a Content Data Analyst & Researcher for our Higher Education team. This individual serves as the data and research engine of the Content Courseware and Curriculum Teams, providing the analytical rigor, market intelligence, and curriculum insight necessary to drive evidence-based content decisions. This role partners closely with the Curriculum Strategy Manager and Content Courseware Team to close the feedback loop between content performance, learner outcomes, and market needs. This is a remote position open to applicants authorized to work for any employer within the United States. What you will be doing: - 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. Qualifications - Bachelor’s degree (or equivalent experience) in Data Science, Research Methods, Education, Business Analytics, Information Science, Communications, or a related field, with a preferred advanced degree in a relevant discipline. - 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, facilitate focus groups, user interviews, and other qualitative research activities, and effectively manage stakeholder engagement. - Experience or familiarity with higher education, EdTech, educational publishing, curriculum development, agile or iterative project environments, and a strong ability to manage multiple workstreams in ambiguous, fast-paced settings while leveraging AI tools to enhance research and analysis workflows. Benefits - The pay range for this position is between $71,300 - $92,000 annually. However, base pay offered may vary depending on job-related knowledge, skills, experience, and location. - A full range of medical and/or other benefits may be provided, depending on the position offered.

Role Description The Senior MDM Analyst is responsible for proactive identification, analysis, and support of complex Master Data Management (MDM) solutions and will play a critical role in ensuring the accuracy, consistency, and integrity of our master data. This role will involve working closely with various stakeholders and teams to develop, implement, and maintain effective MDM solutions including supplier, customer, material, and other domains as needed. The Senior MDM Analyst will need to foster relationships throughout the organization to gather data and an understanding of what the data means to the business. This role will be a key participant in transformation initiatives related to MDM and Data Governance at Builders FirstSource. Essential Duties and Responsibilities - Collaborate with team members to ensure understanding of the functional MDM requirements and future strategic direction of the business. - Provide functional guidance and support to other team members and stakeholders regarding MDM best practices. - Translate MDM functional requirements into technical requirements and design. - Participate in solution design and support robust and complex initiatives. - Collaborate with business stakeholders to build master data workflow frameworks and governance rules that enable robust, scalable data quality processes. - Develop and execute complex testing scenarios across system, integration, and user acceptance phases, and support release management activities following required approvals. - Participate in standard data modeling, translate data requirements into effective use diagrams, and analyze existing databases through reverse engineering. - Develop and maintain documentation related to MDM processes and data mappings. - Act as a liaison to domain data owners to establish necessary data stewardship responsibilities and procedures. - Build and maintain existing enterprise data governance policies and procedures in collaboration with domain owners. - Develop tools and processes to improve data quality, accuracy, and consistency across the organization. - Track and report adherence to key MDM and data governance metrics/SLAs. - Perform data integrity gap analysis, identifying areas where application controls are insufficient. - Assist with the maintenance of complex golden records across domains. - Learn business processes and partner with business process owners/SMEs, IT, and data stewardship teams. - Communicate analytical findings through reports, briefings, and presentations. - Apply knowledge of data governance, workflows, and procedures in determining the most effective and actionable data analysis within the project planning frameworks. - Facilitate discussions with business users to understand and translate complex business requirements into master data management solutions aligned to business goals that deliver measurable value to the organization. Qualifications - Bachelor's degree from an accredited college/university. - 4+ years relevant work experience. - MDM Methodologies and Tooling (SAP MDG). - Data Governance and Data Quality experience. - SQL skills. - Experience with Informatica MDM and/or Enterworks is a nice to have. Requirements - Evaluates and analyzes different types of information objectively to identify appropriate solutions. - Communicates with clarity and precision, presenting complex information in a concise format that is appropriate for the audience. - Takes a positive approach to tackling work and embraces change. - Understands and anticipates customer needs and takes action to provide high-quality products and services to exceed expectations. - Demonstrates working knowledge of market, economic, legal, and regulatory environments and how they impact the business. - Understands how agility is leveraged in IT ways of working. - Takes initiative and identifies what needs to be done and acts without waiting to be asked. Benefits - Medical, dental, vision, and disability insurance plans. - 401(k) retirement savings plan. - PTO (including paid sick time). - 8 paid holidays per year (for salaried and hourly team members). Company Description Builders FirstSource is America’s largest supplier of building materials, value-added components, and building services to the professional market. We are committed to creating a diverse and inclusive workplace that welcomes candidates from all backgrounds and experience levels.

• Requirements Gathering and Documentation: Translate business needs into functional requirements for data projects, focusing on mapping business metrics and customer master data integrity rules. • Master Data Cleansing Strategy: Diagnose the current state of databases (data cleaning) and propose conceptual solutions to improve record quality without relying on pre-existing tools at the bank. • Bureau Mapping: Identify and evaluate external databases and market bureaus for procurement, aiming to enrich and validate customer/master data. • Bridge between Business and IT: Collaborate with stakeholders and developers to ensure technical solutions accurately reflect business rules and established governance standards. • Modeling and Governance: Create and maintain conceptual and logical data models, ensuring documentation of metrics and quality processes remains up to date. • Validation and Quality: Test and validate implemented solutions to ensure metrics are accurate and that data cleansing processes operate as intended. • Governance Gatekeeper: Act as a facilitator with the Data Governance area, applying necessary standards to ensure speed and compliance in projects.