• Conduct audits of client digital properties to ensure analytics, tagging, and data pipelines are correctly configured. • Design and implement analytics measurement frameworks aligned to client business, marketing, and product strategies. • Advise on and support event‑driven analytics, data layers, and tagging strategies across web, mobile, CRM, and marketing platforms. • Design and build dashboards, reports, and self‑service views using BI and visualization tools. • Troubleshoot data integrity, tracking, and pipeline issues across platforms and vendors. • Document implementations and lead enablement sessions to establish analytics best practices. • Lead stakeholder conversations to deeply understand business goals and translate them into measurement and insight requirements. • Analyze qualitative and quantitative data to inform strategic recommendations across UX, content, marketing, and product. • Develop testable hypotheses related to acquisition, engagement, conversion, retention, and experience quality. • Recommend experimentation strategies (A/B testing, personalization, SEO testing, CRO) tied to defined KPIs. • Connect insights across multiple data sources to tell a coherent, actionable story. • Identify analytics workflows that can be accelerated or augmented using AI (e.g., automated insights, anomaly detection, summarization, forecasting, and trend identification). • Leverage AI‑assisted tools to support: Data exploration and pattern discovery, Narrative generation and executive summaries, Experiment analysis and insight synthesis. • Partner with Product, Data Science, and Engineering teams to pilot AI‑enabled analytics capabilities within client engagements. • Contribute to Phase2’s evolving AI‑native delivery patterns and analytics playbooks. • Advise clients on data collection best practices in alignment with privacy, consent, and regulatory requirements. • Partner with teams to ensure data quality, taxonomy consistency, and measurement governance. • Help clients understand tradeoffs, limitations, and risks within their data and technology ecosystems. • Own analytics workstreams end-to-end, serving as a de-facto workstream lead responsible for insight quality, delivery timelines, and managing client expectations from discovery through recommendation. • Mentor junior analysts, oversee contractor work and support capability development within the Data & Insights team. • Contribute to sales and marketing efforts through thought leadership, presentations, webinars, and proposals. • Act as a trusted analytics advisor to clients and internal teams.