Job description
Peakline Sports Group is a premier innovator in athlete performance analytics. We partner with professional teams to translate complex data into actionable insights that drive on-field success and sustainable performance.
As the Lead, Sports Analytics, you will own the analytics roadmap, build scalable data models, and collaborate with coaches, medical staff, and leadership to inform strategy and decision-making.
What you’ll gain: leadership exposure, a collaborative culture, competitive compensation, comprehensive benefits, and opportunities to shape the future of sports technology.
Responsibility
- Own the end-to-end analytics roadmap aligned with team goals and performance objectives.
- Develop and maintain data pipelines, models, and dashboards to monitor athlete performance, training load, and injury risk.
- Collaborate with coaches and performance staff to translate insights into practical training and game-day decisions.
- Lead advanced analytics initiatives, including predictive modeling and scenario analysis for strategy optimization.
- Mentor junior analysts, set standards for data quality, and ensure reproducible research practices.
- Communicate findings to executive leadership and stakeholders through compelling data storytelling.
- Establish governance, security, and privacy controls for sensitive athlete data.
Qualification
- Bachelor’s degree in Data Science, Statistics, Computer Science, Sports Science, or related field; Master’s preferred.
- 5+ years in sports analytics, data science, or equivalent; experience with professional teams or leagues a plus.
- Proficiency in SQL; strong Python or R skills; experience with data visualization tools (Tableau, Power BI).
- Track record of delivering actionable insights that improve performance, training readiness, or game strategy.
- Experience building and deploying data pipelines, ETL processes, and scalable data models.
- Strong communication and stakeholder management skills; ability to explain complex analytics to non-technical audiences.
- Knowledge of data governance, privacy regulations, and ethical handling of athlete information.
- Bonus: experience with machine learning, wearable sensor data, or biomechanical analysis.