Remote Sports Analyst - Data Driven Insights

Placements24

Canterbury

Hybrid

NZD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Remote work
Bonuses
Health insurance
Cutting-edge analytics projects
Collaborative remote culture

Job summary

Placements24 seeks a highly analytical Remote Sports Analyst to drive data-driven insights across player performance, team strategies, and game outcomes. You will work with large datasets, build predictive models, and translate findings into actionable recommendations for coaches, scouts, and management from a fully remote setup.

The role requires a master's or PhD in a quantitative field, strong programming, and data visualization skills, plus a passion for sports analytics and continuous

Qualifications

  • Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
  • Proven experience as a data analyst or sports analyst with a strong project portfolio.
  • Proficiency in Python or R and in data visualization tools such as Tableau or Power BI.

Responsibilities

  • Collect, clean, and analyze large datasets related to player performance and game statistics.
  • Develop statistical models and ML algorithms to identify KPIs and trends.
  • Generate reports and visualizations that communicate insights to non-technical stakeholders.
  • Collaborate with coaching staff to provide data-driven strategy and player development recommendations.
  • Stay current with advancements in sports analytics and data science techniques.
  • Contribute to the development of proprietary analytical tools and dashboards.

Skills

Data analysis
Statistical modelling
Python
R
SQL
Data visualization

Education

Master's degree or PhD in a quantitative field

Tools

Python (Pandas, NumPy, Scikit-learn)
R
SQL
Tableau
Power BI

Job description

About the Role

Our client, a forward-thinking sports technology firm, is actively seeking a highly analytical and data-driven Remote Sports Analyst . This position is fully remote and focuses on leveraging advanced analytics to provide critical insights into player performance, team strategies, and game outcomes across various sports. You will work with large datasets, develop predictive models, and translate complex findings into actionable recommendations for coaches, scouts, and management. This is a unique opportunity for a talented analyst to contribute to the future of sports performance through data, working in a flexible, remote capacity from anywhere.

Key Responsibilities
  • Collect, clean, and analyze large datasets related to player performance, game statistics, and scouting information.
  • Develop and implement statistical models and machine learning algorithms to identify key performance indicators and trends.
  • Generate comprehensive reports and visualizations that communicate complex data insights clearly to non-technical stakeholders.
  • Collaborate with coaching staff and performance teams to provide data-driven recommendations for strategy and player development.
  • Stay current with the latest advancements in sports analytics, data science techniques, and relevant technologies.
  • Contribute to the development of proprietary analytical tools and dashboards.
Requirements
  • Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, or a related quantitative field.
  • Proven experience as a data analyst or sports analyst, with a strong portfolio of analytical projects.
  • Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and database querying (SQL).
  • Deep understanding of various sports and their associated performance metrics.
Benefits
  • Highly competitive salary and performance-based bonuses.
  • Fully remote work setup offering excellent work-life balance.
  • Comprehensive health, dental, and vision insurance.
  • Opportunities to work on cutting-edge sports technology and analytics projects.
  • A collaborative and intellectually stimulating remote work environment.
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