Remote Sports Analytics & Insights Specialist

Placements24; LegKraal Gate; Hybrid; ZAR 1,162,000 - 1,826,000; Full time

Benefits offered by this job

Remote-first role

Competitive salary

Professional development opportunities

Challenging data projects

Job summary

Placements24 is seeking a highly analytical Remote Sports Data Analyst to dive into complex datasets and extract actionable insights that drive performance, strategy, and fan engagement. The role emphasizes a strong quantitative background, sports metrics knowledge, and remote-first collaboration with cross-functional teams.

You will build predictive models, develop dashboards, and communicate findings to stakeholders using Python/R, SQL, and BI tools in a fully remote environment.

Qualifications

• Bachelor's or Master's in a quantitative field (stats, data science, CS, math).
• At least 4 years in data analysis with sports analytics focus.
• Proficiency in Python or R.
• Strong SQL data extraction/manipulation skills.
• Experience with Tableau or Power BI.

Responsibilities

• Collect, clean, and process large sports data from multiple sources.
• Analyze performance data for trends and insights.
• Develop predictive models and statistical analyses.
• Create data visualizations, dashboards, and reports.
• Collaborate with sports performance teams and business units.
• Identify opportunities to improve athlete performance and fan engagement.
• Stay current with analytics, ML, and sports tech.
• Ensure data integrity and security throughout the analytical process.
• Present findings to technical and non-technical audiences.
• Contribute to data infrastructure and tool development.

Skills

Analytical thinking

Problem solving

Communication

Self-management

Education

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

Tools

Python

R

SQL

Tableau

Power BI

Excel

Job description

Placements24 is seeking a highly analytical Remote Sports Data Analyst to dive into complex datasets and extract actionable insights that drive performance, strategy, and fan engagement. The role emphasizes a strong quantitative background, sports metrics knowledge, and remote-first collaboration with cross-functional teams.

You will build predictive models, develop dashboards, and communicate findings to stakeholders using Python/R, SQL, and BI tools in a fully remote environment.