Remote Junior Sports Data Analyst — Start Analytics Career

Placements24; Klerksdorp; Hybrid; ZAR 220.000 - 360.000; Vollzeit

Benefits dieser Stelle

Medical aid

Provident fund

Performance-based bonuses

Zusammenfassung

Placements24 is seeking a highly analytical Junior Sports Data Analyst for a fully remote role in South Africa. You will collect, clean, and analyze sports data to generate insights for performance, strategy, and fan engagement.

You will translate data into actionable recommendations and collaborate with coaches, performance staff, and marketing teams. The ideal candidate has strong quantitative skills and experience with Python (Pandas, NumPy), R, SQL, and data visualization tools like Tableau

Qualifikationen

• Bachelor's degree in Statistics, Mathematics, Computer Science, Sports Science, or related quantitative field.
• Proven experience with data analysis tools and programming languages such as Python (Pandas, NumPy) or R.
• Familiarity with SQL for database querying.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent understanding of various sports and related metrics.
• Ability to communicate complex findings clearly, verbally and in writing.
• Experience with data visualization tools (Tableau, Power BI) is a plus.

Aufgaben

• Collect, clean, and organize sports data from various sources.
• Perform statistical analysis to identify trends and performance indicators.
• Develop and maintain dashboards and reports for coaches and management.
• Assist in developing predictive models to forecast outcomes or performance.
• Collaborate with stakeholders to understand data needs and provide support.

Kenntnisse

Python

R

SQL

Tableau

Power BI

Ausbildung

Bachelor's degree

Tools

Pandas

NumPy

Jobbeschreibung

Placements24 is seeking a highly analytical Junior Sports Data Analyst for a fully remote role in South Africa. You will collect, clean, and analyze sports data to generate insights for performance, strategy, and fan engagement.

You will translate data into actionable recommendations and collaborate with coaches, performance staff, and marketing teams. The ideal candidate has strong quantitative skills and experience with Python (Pandas, NumPy), R, SQL, and data visualization tools like Tableau