Senior Data Analyst

Phase2 is a remote-first agency focused on digital modernization, emerging innovation, and purpose-built AI products and frameworks.

Over the last 20 years we have partnered with enterprise organizations at the forefront of their industries who strive to change how the world does business and how society is served.

Through solutions that demand both deep expertise and advanced AI capabilities, we help organizations leap ahead with automatic, fast, safe, and scalable solutions that have never been possible before.

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

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.
• 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.

Governance, Privacy & Quality

• 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.

Leadership & Growth

• Own analytics work streams 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.

• 6+ years of experience in digital analytics, marketing analytics, or data analysis in an agency…