Senior Data Analyst

Role Overview

Phase2 is hiring a Senior Data Analyst to help clients move from data collection to decision-making—shifting from manual analysis to AI-augmented insight. The role combines client-facing advisory with hands-on analytics execution across marketing, product, UX, and engineering.

What You’ll Do

Technical & Analytical Execution

• Audit client digital properties to ensure analytics, tagging, and data pipelines are correctly configured
• Design and implement analytics measurement frameworks aligned to client strategy
• Advise on event-driven analytics, data layers, and tagging across web, mobile, CRM, and marketing platforms
• Build dashboards, reports, and self-service views using BI/visualization tools
• Troubleshoot data integrity and tracking/pipeline issues across platforms and vendors
• Document implementations and lead enablement sessions on analytics best practices

Strategic & Client Advisory

• Lead stakeholder conversations to translate business goals into measurement and insight requirements
• Analyze qualitative and quantitative data to inform UX, content, marketing, and product recommendations
• Develop testable hypotheses for acquisition, engagement, conversion, retention, and experience quality
• Recommend experimentation strategies such as A/B testing, personalization, SEO testing, and CRO tied to KPIs
• Connect insights across multiple data sources into coherent, actionable narratives

AI-Enabled Analytics & Automation

• Identify analytics workflows to accelerate or augment with AI (e.g., anomaly detection, summarization, forecasting, trend identification)
• Use AI-assisted tools for data exploration, narrative generation, and experiment insight synthesis
• Pilot AI-enabled analytics capabilities with Product, Data Science, and Engineering teams
• Contribute to Phase2’s AI-native delivery patterns and analytics playbooks

Governance, Privacy & Quality

• Advise on data collection best practices aligned with privacy, consent, and regulatory requirements
• Support data quality, taxonomy consistency, and measurement governance
• Help clients understand tradeoffs, limitations, and risks in their data/tech ecosystems

Leadership & Growth

• Own analytics workstreams end-to-end; act as a de-facto workstream lead for delivery timelines and client expectations
• Mentor junior analysts and oversee contractor work within the Data & Insights team
• Contribute to sales and marketing efforts (partial text provided)