Remote Sports Data Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Remote work flexibility

Professional development

Job summary

Placements24 is seeking a highly analytical Remote Sports Data Analyst to unlock insights from vast datasets and drive performance in the Leisure & Sports domain.

You will build dashboards, define KPIs with stakeholders, and apply ML models to forecast outcomes while collaborating with coaches and management in a fully remote setup.

Qualifications

• Bachelor's or Master's in a quantitative field such as Data Science, Statistics or CS.
• Proven experience as a Data Analyst with a strong portfolio in Leisure & Sports.
• Proficiency in SQL, Python or R, and data visualization tools like Tableau/Power BI.
• Strong statistics knowledge and experience with ML algorithms.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and in a fully remote environment.

Responsibilities

• Collect, clean, and analyze large datasets related to sports performance and market trends.
• Develop dashboards and reports to visualize key metrics and insights.
• Identify patterns and provide actionable recommendations for performance and strategy.
• Collaborate with stakeholders to define data requirements and KPIs.
• Apply statistical models and ML techniques to build predictive models.
• Stay current with advancements in data analysis tools in sports analytics.

Skills

SQL

Python

R

Tableau

Power BI

Statistics

Machine Learning

Communication

Education

Bachelor's or Master's in Data Science/Statistics/Computer Science

Tools

Tableau

Power BI

Job description

About the Role

Our client is looking for a highly analytical and technically proficient Remote Sports Data Analyst to join their innovative team. You will leverage vast datasets to uncover insights, identify trends, and provide strategic recommendations that drive performance and decision-making within the Leisure & Sports domain. This is a fully remote position, offering the flexibility to work from anywhere while collaborating closely with performance coaches, strategists, and management teams to enhance athletic and business outcomes through data-driven intelligence.

Key Responsibilities

• Collect, clean, and analyze large datasets related to sports performance, fan engagement, and market trends.
• Develop and maintain dashboards and reports to visualize key metrics and insights.
• Identify patterns and trends to provide actionable recommendations for performance improvement and strategic planning.
• Collaborate with stakeholders to define data requirements and key performance indicators (KPIs).
• Utilize statistical modeling and machine learning techniques to build predictive models.
• Stay current with advancements in data analysis tools and methodologies within the sports analytics landscape.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst, with a strong portfolio demonstrating analytical projects, preferably in the Leisure & Sports industry.
• Proficiency in SQL, Python or R, and data visualization tools (e.g., Tableau, Power BI).
• Strong statistical knowledge and experience with machine learning algorithms.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fully remote environment.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Flexible working hours and location independence.
• Opportunity to work with cutting-edge data analytics technologies.
• Contribute to high-level strategic decisions in the Leisure & Sports sector.
• Continuous learning and professional development support.