Sports Data Analyst

Vintti is a staffing agency with a unique mission: to create win-win scenarios for both US businesses and Latin American professionals. We address the challenges faced by SMBs, startups, and firms in finding the right talent, as well as the aspirations of skilled Latin American workers seeking international opportunities. By bridging this gap, Vintti enables US companies to access a wealth of untapped talent, while providing Latin American professionals with pathways to expand their careers on a global scale. Our approach cultivates a symbiotic ecosystem that benefits all parties involved.

A Sports Data Analyst plays a crucial role in the sports industry by collecting, analyzing, and interpreting data to provide insights and drive decision-making. Leveraging advanced statistical techniques and data tools, they evaluate player performance, team strategies, and game outcomes to inform coaches, scouts, and management. This role demands strong analytical skills, a deep understanding of sports dynamics, and the ability to translate complex data into actionable recommendations. By transforming raw data into valuable insights, Sports Data Analysts help teams enhance performance, optimize strategies, and gain a competitive edge in their respective sports.

- Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field.
- Proven experience as a Data Analyst, preferably in the sports industry.
- Proficiency in programming languages such as Python, R, SQL, or similar.
- Strong understanding of statistical analysis, predictive modeling, and machine learning techniques.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Familiarity with sports statistics and performance metrics.
- Excellent problem-solving skills and attention to detail.
- Strong analytical and critical thinking abilities.
- Ability to communicate complex analytical insights effectively to non-technical stakeholders.
- Experience with database management and data warehousing solutions.
- Proficiency in data cleaning, transformation, and processing.
- Knowledge of sports data collection methods and tools.
- Familiarity with using APIs and web scraping techniques for data gathering.
- Ability to work collaboratively with cross-functional teams.
- Strong project management and organizational skills.
- Ability to manage multiple tasks and projects simultaneously.
- Knowledge of the latest trends and best practices in sports analytics.
- Strong understanding of statistical software and technologies.
- Excellent written and verbal communication skills.
- High level of integrity and commitment to data accuracy and confidentiality.
- Willingness to stay updated with the latest advancements in data science and sports analytics.
- Experience with version control systems like Git.
- Ability to design efficient and effective data workflows.
- Strong work ethic and ability to meet deadlines in a fast-paced environment.

- Collect and process sports data from various sources.
- Analyze and interpret complex data sets for actionable insights.
- Create and maintain databases with high data integrity and accuracy.
- Develop algorithms and models for predictive analysis and performance evaluation.
- Perform statistical analyses to identify key performance indicators.
- Collaborate with team members to provide data-driven recommendations.
- Design and produce detailed reports, visualizations, and dashboards.
- Monitor and evaluate the effectiveness of strategies and models.
- Conduct ad-hoc analyses based on specific requests or trends.
- Stay updated with latest analytics techniques and best practices.
- Clean and transform raw data for analysis.
- Develop and maintain codebases using Python, R, or SQL.
- Improve data collection methods and tools.
- Participate in meetings to provide data insights.
- Test and validate predictive models for accuracy.
- Gather and input data for research projects.
- Review and interpret results of simulations and algorithms.
- Provide technical support and training on analytical tools.
- Manage and update data dashboards.
- Liaise with external data providers for continuous data flow.

The ideal candidate for the Sports Data Analyst role will possess a robust analytical mindset, demonstrated through extensive experience in data analysis, particularly within the sports industry. This individual will hold a Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field, and showcase proficiency in key programming languages such as Python, R, and SQL. They will have a deep understanding of statistical analysis, predictive modeling, and machine learning techniques, complemented with the ability to effectively use data visualization tools like Tableau and Power BI. Exceptional attention to detail, accuracy, and problem-solving skills will be paramount, coupled with strong critical thinking and the ability to communicate complex analytical insights clearly to non-technical stakeholders. The ideal candidate will navigate data management adeptly, maintaining integrity and confidentiality, while also excelling with APIs, web scraping, and database management solutions. They will have a proactive and passionate nature toward sports and data, with solid organizational and project management skills that enable them to manage multiple tasks simultaneously in a fast-paced environment. Additionally, this candidate will be a collaborative team player, capable of working efficiently with cross-functional teams, and willing to provide technical support and training to colleagues. Familiarity with sports statistics and performance metrics, a commitment to staying updated on the latest trends in sports analytics, and experience with version control systems like Git will further distinguish the ideal candidate. Their strong work ethic, ability to meet deadlines, and excellent written and verbal communication skills will round out their qualifications, ensuring they are not only adept technically but also capable of contributing significant insights to drive sports strategies and decisions.

- Collect and process sports data from various sources, including live events, databases, and historical records.
- Analyze and interpret complex data sets to generate actionable insights and trends.
- Create and maintain databases, ensuring data integrity and accuracy.
- Develop and implement algorithms and models for predictive analysis and player performance evaluation.
- Perform statistical analyses to identify key performance indicators, strengths, and weaknesses of teams and players.
- Collaborate with coaches, scouts, and other team members to provide data-driven recommendations and strategies.
- Design and produce detailed reports, visualizations, and dashboards to present findings to stakeholders.
- Monitor and evaluate the effectiveness of strategies and adjust models based on new data and outcomes.
- Conduct ad-hoc analyses based on specific requests or emerging trends in the sports industry.
- Stay updated with the latest sports analytics techniques, technologies, and best practices.
- Clean and transform raw data into usable formats for analysis.
- Develop and maintain codebases for analytical models and tools using programming languages like Python, R, or SQL.
- Assist in the development and improvement of data collection methods and tools.
- Participate in meetings and discussions to provide data insights and support decision-making processes.
- Test and validate predictive models to ensure accuracy and reliability.
- Gather and input data for new and ongoing research projects.
- Review and interpret the results of simulations and computational algorithms.
- Provide technical support and training to team members on data analytical tools and methodologies.
- Manage and update data dashboards, ensuring they are always reflecting the latest information.
- Liaise with external data providers and partners to ensure the continuous flow of data.

- Analytical mindset with excellent problem-solving skills
- Strong attention to detail and accuracy
- Ability to communicate complex data insights clearly to non-technical stakeholders
- High proficiency in relevant programming languages (Python, R, SQL)
- Expertise in statistical analysis and predictive modeling
- Familiarity with sports statistics, performance metrics, and the sports industry
- Proactive and self-motivated with a passion for sports and data
- Strong organizational and project management skills
- Technically adept with data visualization tools (Tableau, Power BI)
- Effective collaborator with experience working in cross-functional teams
- High level of integrity and commitment to maintaining data confidentiality
- Capable of managing multiple tasks and projects simultaneously in a fast-paced environment
- Knowledgeable about the latest trends and practices in sports analytics
- Strong understanding of data collection methods and tools, including APIs and web scraping
- Experience with database management and data warehousing solutions
- Good understanding of machine learning techniques relevant to performance analysis
- Proficient in data cleaning, transformation, and processing
- Familiarity with simulation and computational algorithm interpretation
- Ability to design efficient data workflows and maintain codebases
- Eager to stay updated with advancements in data science and sports analytics
- Experience with version control systems like Git
- Strong work ethic and the ability to meet deadlines consistently
- Excellent written and verbal communication skills
- Willingness to provide technical support and training to team members

- Competitive salary range commensurate with experience
- Comprehensive health, dental, and vision insurance plans
- Retirement savings plan with employer matching contributions
- Flexible working hours and opportunities for remote work
- Generous paid time off (vacation days, sick leave, and holidays)
- Professional development opportunities, including workshops and conferences
- Access to continuous learning resources and online courses
- Performance-based bonuses and incentive programs
- Employee wellness programs and gym membership discounts
- Opportunities for career advancement and promotion
- Collaborative and inclusive work environment
- Tuition reimbursement for relevant courses and certifications
- Company-sponsored team-building events and activities
- Access to latest sports events and exclusive behind-the-scenes experiences
- Generous parental leave policies
- Corporate discounts on various services and products
- Regular feedback and performance review sessions
- Supportive onboarding and training programs for new hires
- Comprehensive relocation assistance if applicable
- Mentorship programs and peer support networks