onsite
Partner Intelligence Data Analyst - Learfield
Data Analyst
Analyze engagement data for partner athletic sites, create actionable insights, and build interactive dashboards using GA4, SQL, Python, and AI automation tools.
About the role
Key Responsibilities
- Collect, clean, and analyze user engagement data from partner‑owned athletic websites and mobile apps.
- Generate actionable insights and performance reports using Google Analytics 4, SQL queries, and Python scripts.
- Design and maintain interactive dashboards and visual reports for stakeholders across multiple platforms.
- Leverage AI automation tools such as Claude Code and Claude Co‑work to streamline data pipelines and reporting workflows.
- Collaborate with product, marketing, and engineering teams to align analytics with business objectives and drive data‑informed decisions.
Requirements
- Proficiency with Google Analytics 4 and other web analytics platforms.
- Strong SQL and Python skills for data extraction, transformation, and analysis.
- Experience building data visualizations and dashboards (e.g., Tableau, Power BI, Looker).
- Familiarity with AI‑assisted automation tools (Claude Code, Claude Co‑work) or similar generative AI solutions.
- Excellent communication skills to translate complex data findings into clear business recommendations.