The Role
Are you passionate about using data to solve real business problems and shape smarter digital experiences? Phase2 is looking for a Senior Data Analyst who can help our clients move from data collection to decision‑making — and increasingly, from manual analysis to AI‑augmented insight.
This role blends client‑facing strategic thinking with hands‑on technical execution. You’ll work across marketing, product, UX, and engineering teams to design measurement strategies, interpret complex data sets, and surface insights that inform both near term optimization and long term transformation.
As Phase2 evolves in AI‑native and productized services, this role will help define how analytics, automation, and machine‑assisted insight generation become embedded in our practice.
This position reports to: Lead Data Analyst
Compensation: Base annual salary of $100,000 - $120,000
What You'll Do
Technical & Analytical Execution
- 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.
Strategic & Client Advisory
- 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.
AI‑Enabled Analytics & Automation
- Identify analytics workflows that can be accelerated or augmented using AI (e