Football Data Analyst - Hybrid, Dashboards & Insights

Pluto Data Analytics Limited; United States; Hybrid; USD 70,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Discretionary bonus

25 days holiday

Job summary

Pluto Data Analytics Limited is seeking an experienced Data Analyst to join our sports analytics team that advises on recruitment, squad analysis and non-playing football insights. You will work with data scientists and club partners to develop actionable recommendations.

The role focuses on building dashboards, maintaining player databases, and identifying new data sources, while spotting biases in base ratings and communicating findings to management.

Qualifications

• High level of competency in data analysis and dashboards: Python, SQL, Tableau, etc.
• Experience within a football club of reporting data, data visualisation and data workflows.
• Proven ability to apply statistical concepts to football.
• Very strong analytical skills, and confident presenter.
• Ability to work to tight deadlines.
• Proactive worker with strong organisational skills.
• Works well within a team environment, open minded to new ideas and new concepts.

Responsibilities

• Provide recommendations for recruitment alongside data scientists and management.
• Provide feedback on current squad performance, strengths and weaknesses.
• Develop dashboards and analytical tools.
• Keep player databases up to date and look for valuable new data streams.
• Spot biases in the base rating data and feedback on players who are under- or over-rated by current models.

Skills

Python

SQL

Data visualization

Tools

Tableau

Job description

Pluto Data Analytics Limited is seeking an experienced Data Analyst to join our sports analytics team that advises on recruitment, squad analysis and non-playing football insights. You will work with data scientists and club partners to develop actionable recommendations.

The role focuses on building dashboards, maintaining player databases, and identifying new data sources, while spotting biases in base ratings and communicating findings to management.