Digital Analytics Developer

We are seeking an experienced Analytics Developer to design, develop, and maintain scalable analytics and data solutions that enable data-driven decision-making across the organization. The ideal candidate is technically strong, detail-oriented, and excited about building high-quality analytics solutions that empower business stakeholders. This role reports to Analytics Lead and will collaborate with other technical and business teams across the library. Responsibilities: • Lead and scale the Digital Analytics function, owning end-to-end delivery, mentoring team members, and ensuring high-quality, consistent execution. • Define and drive technical architecture, guiding analytics implementation and establishing scalable solutions following best practices. • Act as the primary client-facing analytics lead, partnering with cross-functional stakeholders to translate business needs into effective technical solutions. • Build and grow the team, leading hiring, technical evaluation, and onboarding to support program expansion. • Design, build, and maintain scalable data pipelines. Ensure data accuracy, validation, and governance standards. • Develop and optimize SQL queries, views, and data models. Support ad-hoc data requests and analysis as needed. • Create and maintain dashboards and reports for digital analytics and customer experience data aiming for reporting automation. • Manage and maintain data tracking frameworks. Optimize implementation in accordance with new product developments. • Conduct server log analysis to identify anomalies, performance issues, and potential data integrity concerns. • Collaborate with business stakeholders to translate requirements into technical solutions. • Analyze and communicate generated insights on web analytics and customer experience data. Qualifications: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field, or 3+ years of experience in analytics development • Advanced proficiency in SQL with strong understanding of relational database concepts, including data modeling, normalization, and complex SQL joins • Experience working with cloud data platforms preferably BigQuery • Experience working with web analytics data and implementing digital analytics tracking (Google Analytics, Google Tag Manager) • Hands-on experience with at least one BI tool (Power BI, Tableau, etc.) • Experience with Python or other scripting languages • Experience working with APIs and data integrations • Strong problem-solving and analytical thinking • Ability to communicate technical concepts to non-technical stakeholders • Ability to leverage AI or machine learning tools to enhance analytics