Soccer Data Analyst

New England Revolution; Jeffersonville (IN); On-site; USD 70,000 - 100,000; Full time

Job summary

New England Revolution seeks a Soccer Data Analyst to apply advanced statistics and data science to analyze event, tracking, physical, and performance data. You will build models, dashboards, and tools to support coaching, scouting, and front office decisions, collaborating across departments and driving research initiatives.

The role requires strong Python, Excel, and data visualization skills, with experience in SQL and familiarity with soccer data platforms.

Qualifications

• Bachelor's degree in a quantitative discipline (stats, economics, math, CS, data science) required.
• Master's degree preferred in data science, statistics, analytics, or related field.
• 2–4 years of professional experience in data analytics, data science, sports analytics, or related fields.
• Strong knowledge of statistical analysis, predictive modeling, machine learning, and data science methodologies.
• Advanced proficiency in Python and Excel; SQL and relational databases preferred.
• Experience with R, Tableau, Power BI, Git, or similar tools preferred.
• Experience with soccer event and tracking data platforms (Opta, StatsBomb, etc.) preferred.
• Ability to develop dashboards and reports for diverse audiences and communicate findings clearly.

Responsibilities

• Analyze soccer event, tracking, physical, and performance data to identify trends and insights.
• Design and validate diagnostic, predictive, and prescriptive models to inform coaching and recruitment decisions.
• Develop interactive dashboards and reports for scouting, roster planning, and strategic decisions.
• Collaborate with Analytics and cross‑functional teams to execute research initiatives using diverse datasets.
• Develop, document, and optimize analytical code, data pipelines, and data products in Python, R, SQL, and related tools.
• Ensure data quality, governance, and integration from multiple sources and APIs.
• Present findings to technical and non‑technical stakeholders and translate analyses into actionable recommendations.
• Handle special projects as needed to support organizational goals.
• Protect personally identifiable information and comply with privacy standards and company policies.

Skills

Statistics knowledge

Data analysis

Python

Excel

SQL

R

Tableau

Power BI

Git

Communication

Education

Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or quantitative discipline

Master's degree in Data Science, Statistics, Computer Science, Analytics, or related field

Tools

Python

SQL

R

Tableau

Power BI

Excel

Git

Job description

SUMMARY:The Soccer Data Analyst is responsible for applying advanced statistical methods, programming, and data science techniques to analyze soccer event, tracking, physical, and performance data. This role develops analytical models, visualizations, and decision-support tools that provide actionable insights to coaching, scouting, player recruitment, and front office staff. Working collaboratively across the organization, the Soccer Data Analyst contributes to research initiatives, enhances analytical processes, and supports strategic decision-making to create a competitive advantage.

DUTIES AND RESPONSIBILITIES

1. Analyze soccer event, tracking, physical, and performance data to identify trends, patterns, and actionable insights that support match preparation, opponent analysis, player development, and post-match performance reviews.
2. Design, develop, validate, and continuously improve diagnostic, predictive, and prescriptive analytical models that inform coaching strategies, player evaluation, scouting, and organizational decision-making.
3. Develop interactive dashboards, visualizations, and analytical reports that support player recruitment, scouting, roster construction, and strategic planning.
4. Collaborate with the Analytics Department and cross-functional stakeholders to design, execute, and evaluate research initiatives utilizing event, tracking, and performance datasets.
5. Develop, maintain, document, and optimize analytical code, data pipelines, and data science products using Python, R, SQL, and other applicable technologies while adhering to established coding and documentation standards.
6. Manage, validate, cleanse, and optimize data sources while supporting data governance, storage architecture, and data quality initiatives.
7. Present analytical findings and data-driven recommendations to technical and non-technical stakeholders, translating complex analyses into actionable business and soccer insights.
8. Special projects and assignments as business dictates.
9. Responsible for the maintenance, creation and control of all personally identifiable information or any other information protected by any Confidentiality or Privacy Standards or Company Policies that you have access or knowledge of, including but not limited to any state or federal regulations including HIPAA.

SUPERVISORY RESPONSIBILITIES

• N/A

SKILLS AND QUALIFICATIONS

• Bachelor's Degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or quantitative discipline required.
• Master's degree in Data Science, Statistics, Computer Science, Analytics, or a related field preferred.
• 2-4 years of professional experience in data analytics, data science, sports analytics, or a related analytical field; equivalent graduate research experience may be considered.
• Demonstrated knowledge of statistical analysis, predictive modeling, machine learning, and data science methodologies.
• Advanced proficiency in Python and Excel required.
• Experience with SQL and relational databases preferred.
• Experience with R, Tableau, Power BI, Git, or other version control systems preferred.
• Experience integrating, validating, and managing data from multiple sources, APIs, and large datasets.
• Experience working with soccer event and tracking data platforms (e.g., Opta, StatsBomb, SkillCorner, Tracab, Catapult, or similar) preferred.
• Strong understanding of data visualization best practices and the ability to develop dashboards and reports for diverse audiences.
• Demonstrated analytical thinking, intellectual curiosity, and the ability to independently solve complex technical and business challenges.
• Excellent written, verbal, and presentation skills with the ability to communicate complex analytical findings to technical and non-technical stakeholders.
• Ability to collaborate effectively within a cross-functional, team-oriented environment while managing multiple priorities and deadlines.
• Strong organizational skills with exceptional attention to detail and a commitment to producing accurate, high‑quality work.

Knowledge of soccer and a passion for applying analytics to player performance, tactical analysis, player recruitment, and organizational decision-making preferred.

Ability to work evenings, weekends, and travel as required by match and organizational schedules.

PHYSICAL DEMANDS

• While performing the duties of this job, the employee is regularly required to sit and use hands to handle or feel
• The employee frequently is required to talk or hear
• The employee is occasionally required to reach with hands and arms, bend at the knees
• Specific vision abilities required by this job include close vision and ability to adjust focus
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

WORK ENVIRONMENT

• The noise level in the work environment is usually moderate
• Normal office environment

CERTIFICATES, LICENSES, REGISTRATIONS

• SafeSport

OTHER DUTIES

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

This company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.