Sports Data Analyst

Placements24; Rustenburg; Hybrid; ZAR 998,000 - 1,498,000; Full time

Benefits offered by this job

Fully remote work arrangement

Job summary

Placements24 is seeking a highly analytical and detail-oriented Sports Data Analyst to join their remote team. You will uncover insights from large sports data sets to inform performance analysis, scouting, and fan engagement, and help develop predictive models.

The role requires strong skills in Python or R, data manipulation with Pandas and NumPy, and experience with Tableau or Power BI to translate findings for coaches, management, and marketing.

Qualifications

• Experience as a Data Analyst, preferably with a focus on sports analytics.
• Proficiency in Python or R and data manipulation libraries (Pandas, NumPy).
• Experience with Tableau or Power BI for data visualization.
• Strong understanding of sports metrics and analytics.
• Ability to work effectively in a remote setting.

Responsibilities

• Collect, clean, and analyze large datasets from various sports-related sources.
• Develop and implement statistical models and algorithms to identify trends, predict outcomes, and evaluate performance.
• Create visualizations and dashboards to communicate findings to non-technical stakeholders.
• Collaborate with coaching staff and performance analysts to provide data-driven insights.
• Stay abreast of advancements in sports analytics, machine learning, and data visualization techniques.
• Ensure data integrity and confidentiality throughout the analysis process.

Skills

Statistical analysis

Python

R

Data visualization

Communication

Education

Bachelor's degree in a relevant field

Tools

Pandas

NumPy

Tableau

Power BI

Job description

Our client is looking for a highly analytical and detail-oriented Sports Data Analyst to join their pioneering team, working entirely remotely. This role is crucial for uncovering insights from complex sports data sets to inform strategic decisions across performance analysis, scouting, and fan engagement. You will be instrumental in developing predictive models, identifying key performance indicators, and translating raw data into actionable intelligence for coaches, management, and marketing departments. The successful candidate will thrive in a virtual environment, possess strong statistical and programming skills, and have a deep passion for sports analytics, contributing significantly to our client\'s data-driven approach to achieving athletic and business excellence.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sports-related sources.
• Develop and implement statistical models and algorithms to identify trends, predict outcomes, and evaluate performance.
• Create visualizations and dashboards to communicate complex data findings clearly to non-technical stakeholders.
• Collaborate with coaching staff and performance analysts to provide data-driven insights for player development and strategy.
• Stay abreast of the latest advancements in sports analytics, machine learning, and data visualization techniques.
• Ensure data integrity and accuracy throughout the analysis process, maintaining strict confidentiality.

Requirements

• Proven experience as a Data Analyst, preferably with a focus on sports analytics.
• Strong proficiency in programming languages such as Python or R, and experience with data manipulation libraries ("e.g., Pandas, NumPy").
• Expertise in statistical analysis, modeling, and data visualization tools ("e.g., Tableau, Power BI").
• Solid understanding of sports rules, strategies, and performance metrics across various disciplines.
• Excellent problem-solving abilities and the capacity to work effectively in a remote setting.

Benefits

• Highly competitive salary and performance bonuses.
• Fully remote work arrangement, offering exceptional flexibility.
• Opportunities for continuous learning and professional growth in a cutting-edge field.
• Access to advanced analytical tools and datasets.
• A supportive and intellectually stimulating virtual team environment.