Partner Intelligence Data Analyst

SIDEARM Sports•Dallas, TX

23h

About The Position

We are seeking a Partner Intelligence Data Analyst to join our team supporting partner-owned athletic sites and apps. This role will be responsible for delivering engagement insights, operational reporting, and building dashboards and reports across multiple platforms. The ideal candidate will be proficient with modern analytics and business intelligence tools and demonstrate strong AI fluency in leveraging automation tools like Claude Code and Claude Co-work.

Requirements

3+ years of work experience in analytics, business intelligence, or related roles
2+ years working Google Cloud Platform (GCP), Google Analytics 4 (GA4), and BigQuery for data warehousing.
Proficiency in Looker and/or Power BI experience
Advanced experience using Excel and PowerPoint
Strong querying and data manipulation, analytical thinking and problem-solving skills
Demonstrated AI fluency and experience with AI-assisted workflows
Demonstrated ability to identify automation opportunities
Excellent communication skills with ability to translate technical findings for non-technical audiences
Self-starter who can work independently and manage multiple priorities
Detail-oriented with commitment to data accuracy

Nice To Haves

Experience with or strong interest in Claude Code, Claude Co-work, or similar AI tools
Familiarity with Python

Responsibilities

Analyze user engagement data across partner-owned athletic sites and applications
Develop actionable insights from GA4, web analytics, and app usage data
Create and maintain dashboards and reports in Looker and Power BI
Present findings to stakeholders in clear, concise formats
Work with BigQuery to query and analyze large datasets
Support ad-hoc operational reporting requests across the organization
Design and build executive-level dashboards
Automate recurring reports and data pulls
Support development of reporting infrastructure in Microsoft Fabric
Utilize Claude Code and Claude Co-work to automate repetitive processes
Identify opportunities for AI-assisted workflow improvements
Stay current on AI tools and applications in analytics