• Participate in the transformation from traditional BI to an AI-augmented BI model. • Maintain and evolve data modeling and dashboards in Looker (LookML), ensuring operational continuity. • Build GenBI layers for automatic insight generation and conversational analytics. • Develop AI-driven data products, such as automated summaries and intelligent alerts. • Automate workflows, queries, and documentation using tools like Claude Code, Cursor, or similar. • Mentor the technical team, establishing new standards and analytics best practices. • Translate business challenges into high-impact analytical solutions for stakeholders and clients.

• Databricks ingestion and warehouse execution • Gold models, marts, and semantic layer delivery • Genie and AI-readiness of the data layer • Data quality, monitoring, and validation • Stakeholder enablement and warehouse adoption • Financial and business reporting support • Team collaboration and ways of working • Work closely with the BI Lead to turn roadmap items into concrete technical deliverables. • Provide effort estimates, implementation tradeoffs, and delivery risks. • Participate in code review, documentation, and shared standards for SQL, notebooks, jobs, and data assets. • Help strengthen self-service analytics by creating reusable assets and reducing manual workflows.

• Design and implement a multi-tier SaaS reporting infrastructure to support diverse client levels and brand campaign requirements. • Lead the GA4 and Google Tag Manager strategy, overseeing implementation, QA, and the definition of event tracking standards for QR scans, lead captures, and promo engagement. • Architect and manage GA4 data exports into BigQuery, building robust models that join event data with account, venue, and subscription datasets. • Integrate data from diverse sources including Sanity CMS, Mailchimp, SMS platforms, and POS systems to create a unified view of the consumer journey. • Develop reusable reporting templates and automated dashboards for client recaps, monthly summaries, and real-time campaign performance. • Evaluate and deploy reporting automation tools such as Looker Studio Pro, AgencyAnalytics, or Whatagraph to enhance scalability. • Establish data governance and access control protocols to ensure secure, account-specific reporting views. • Partner with product and engineering teams to ensure tracking requirements are seamlessly integrated into the development lifecycle. • Translate complex analytics into actionable business insights for internal stakeholders, venues, and brand partners. • Maintain comprehensive documentation including tracking plans, data dictionaries, and architectural workflows.

• Design and implement a multi-tier SaaS reporting infrastructure to support diverse client levels and brand campaign requirements. • Lead the GA4 and Google Tag Manager strategy, overseeing implementation, QA, and the definition of event tracking standards for QR scans, lead captures, and promo engagement. • Architect and manage GA4 data exports into BigQuery, building robust models that join event data with account, venue, and subscription datasets. • Integrate data from diverse sources including Sanity CMS, Mailchimp, SMS platforms, and POS systems to create a unified view of the consumer journey. • Develop reusable reporting templates and automated dashboards for client recaps, monthly summaries, and real-time campaign performance. • Evaluate and deploy reporting automation tools such as Looker Studio Pro, AgencyAnalytics, or Whatagraph to enhance scalability. • Establish data governance and access control protocols to ensure secure, account-specific reporting views. • Partner with product and engineering teams to ensure tracking requirements are seamlessly integrated into the development lifecycle. • Translate complex analytics into actionable business insights for internal stakeholders, venues, and brand partners. • Maintain comprehensive documentation including tracking plans, data dictionaries, and architectural workflows.