Senior Data Analyst — Remote, AI-Driven Insights Leader

Jobless; Northern (KY); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Life insurance

Disability coverage

401(k) with employer contribution

Generous paid time off & parental/vol休

Job summary

Phase2 is seeking a Senior Data Analyst who blends client-facing strategy with hands‑on analytics to move clients from data collection to decision‑making and AI‑augmented insights. You will work across marketing, product, UX, and engineering to design measurement strategies and surface actionable trends.

You’ll help define analytics, automation, and AI‑assisted insight generation within our practice, reporting to the Lead Data Analyst.

Qualifications

• 6+ years of experience in digital analytics or data analysis in an agency or consulting environment.
• Deep expertise with Google Analytics 4 and Google Tag Manager, along with broader experience with enterprise analytics and tag management platforms including Google Marketing Platform, Tealium iQ, Adobe Launch, or equivalent.
• Strong understanding of end‑to‑end digital measurement across websites, mobile, CRM, email, and marketing platforms.
• Experience with AI‑assisted analytics, machine learning‑supported insights, or automated reporting workflows.
• Experience collaborating with web and app development teams to configure, test, and validate analytics implementations across development, staging, and production environments.
• Strong, hands‑on experience working with raw data, including writing complex SQL queries, building or supporting data pipelines (e.g., Fivetran, Stitch, dbt), and querying data warehouses and cloud platforms such as GCP, BigQuery, Snowflake, or Databricks to power analysis beyond dashboards.
• Proven experience designing conversion tracking, funnels, goals, and event‑based measurement models.
• Experience building dashboards and reports using tools such as Looker Studio, Tableau, Power BI, or Datorama.
• Strong CRO and experimentation background, including interpreting test results and making recommendations.
• Excellent written and verbal communication skills, with the ability to translate data into clear narratives.
• Ability to manage multiple projects independently with attention to detail and accuracy.

Responsibilities

• Lead 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.

Skills

Analytical thinking

Client advisory

Data storytelling

Experimentation design

Project management

Tools

Looker Studio

Tableau

Power BI

Datorama

Google Analytics 4

Google Tag Manager

BigQuery

Snowflake

Databricks

Fivetran

dbt

Job description

Phase2 is seeking a Senior Data Analyst who blends client-facing strategy with hands‑on analytics to move clients from data collection to decision‑making and AI‑augmented insights. You will work across marketing, product, UX, and engineering to design measurement strategies and surface actionable trends.

You’ll help define analytics, automation, and AI‑assisted insight generation within our practice, reporting to the Lead Data Analyst.