• Support our work turning publishing data into insight • Assist with building and maintaining reports and dashboards used across the company • Help analyze sales, marketing, and title performance data to support business decisions • Support data cleaning, organization, and documentation efforts • Contribute to special projects and ad hoc analysis as priorities come up throughout the fall • Collaborate with team members across departments to understand data needs and deliver useful, accurate answers • Provide general administrative support as needed

• Gather, organize, and document program, operational, and business requirements from stakeholders across the ecosystem. • Develop and maintain SOPs, workflows, process maps, onboarding materials, and PMO templates. • Standardize documentation practices across multiple entities and project teams. • Support requirements intake and change management processes throughout the program lifecycle. • Validate data inputs before information is distributed to program leadership. • Ensure consistency and accuracy across dashboards, reports, metrics, and status updates. • Maintain data dictionaries and reporting standards to ensure common definitions across all stakeholders. • Perform data quality reviews and identify gaps, inconsistencies, or reporting risks. • Support Program Managers and Project Managers with reporting, documentation, meeting preparation, and analysis. • Assist with onboarding new projects, entities, vendors, and workstreams into established PMO processes. • Coordinate information flow between engineering, design, infrastructure, construction, and program teams. • Maintain centralized repositories for program documentation and reporting. • Identify process inefficiencies, reporting challenges, and documentation gaps. • Recommend solutions that improve consistency, efficiency, and program visibility. • Support continuous improvement initiatives across the PMO organization. • Develop scalable frameworks that improve delivery across a growing ecosystem. • Work cross-functionally with engineering, design, project delivery, and leadership teams. • Facilitate information gathering and ensure alignment between stakeholders. • Translate complex information into formats that are easily understood by multiple audiences.

• Conduct detailed analyses of business processes and requirements. • Translate business requirements into actionable specifications for technical teams. • Develop and implement strategies to achieve business goals. • Collaborate with stakeholders to understand their needs and gather requirements. • Evaluate current business processes and systems to propose improvements. • Perform data analysis to support decision-making processes. • Create clear and concise documentation including business requirements, functional specifications, and test plans. • Assist in project management activities such as planning, scheduling, and coordination. • Conduct user acceptance testing and provide post-implementation support. • Stay updated with industry trends and best practices in business analysis.

• Own the end-to-end product analytics strategy for a large-scale consumer mobile application. • Partner closely with Product, Engineering, Marketing, and Executive Leadership to drive key business decisions. • Analyze user behavior across the customer lifecycle, including onboarding, activation, engagement, retention, and monetization. • Develop dashboards, reporting frameworks, and actionable insights that influence product roadmap and business strategy. • Lead experimentation efforts, A/B testing, cohort analysis, and conversion funnel optimization. • Define and monitor key subscription metrics including trial conversion, trial-to-paid conversion, renewal rates, LTV, retention, and user segmentation. • Work with mobile user acquisition teams to evaluate attribution performance across AppsFlyer, Adjust, SKAdNetwork (SKAN), and other measurement platforms. • Leverage AI/LLM tools to improve analytics workflows and business insights. • Lead and mentor a small team while remaining hands-on with SQL and data analysis.