Athlete Insights Data Analyst

Elite Hockey HQ; Northern (KY); On-site; USD 65,000 - 90,000; Full time

Job summary

Elite Hockey HQ is looking for a Data Analyst to help turn athlete training, readiness, and engagement data into insights that shape our product and coaching platform. You'll work closely with product, engineering, and coaching teams to understand how athletes use our adaptive training engine, skill video library, and readiness tools, and to surface findings that guide decisions across the company.

Responsibilities include analyzing usage and readiness data, building dashboards, supporting

Qualifications

• 2+ years of experience in a data analyst or similar analytics role.
• Proficiency with SQL and large datasets.
• Experience with BI/visualization tools (Looker/Tableau/Power BI).
• Experience with spreadsheet-based analysis and clear data storytelling.
• Comfort working cross-functionally with product, engineering, and business teams.
• Strong attention to detail and ability to manage multiple analyses.

Responsibilities

• Analyze athlete usage, engagement, and readiness data to identify trends and opportunities across the platform.
• Build and maintain dashboards and reports tracking key product and business metrics.
• Partner with product and engineering to define, track, and improve metrics related to training adherence and app engagement.
• Support experimentation and A/B testing, including analysis design and results interpretation.
• Translate complex data findings into clear, actionable recommendations for non-technical stakeholders.
• Help maintain data quality, documentation, and consistency across internal reporting tools.

Skills

SQL

Data analysis

Data storytelling

Cross-functional collaboration

Attention to detail

Education

2+ years experience in data analytics

Tools

Looker

Tableau

Power BI

Job description

Elite Hockey HQ is looking for a Data Analyst to help turn athlete training, readiness, and engagement data into insights that shape our product and coaching platform. You'll work closely with product, engineering, and coaching teams to understand how athletes use our adaptive training engine, skill video library, and readiness tools, and to surface findings that guide decisions across the company.

Responsibilities include analyzing usage and readiness data, building dashboards, supporting