Sports Data Analyst

Job Summary

Swish Analytics is seeking a Sports Data Analyst to join its innovative team in North Beach, San Francisco. This role offers a competitive salary of $112,490.37 and focuses on developing next‑generation predictive sports analytics products.

Key Responsibilities

• Collect, clean, and validate real‑time sports data from multiple sources.
• Build and maintain statistical models to forecast game outcomes, player performance, and betting odds.
• Collaborate with engineers and product managers to integrate analytical insights into Swish Analytics’ data platforms.
• Generate clear visualizations and reports for internal stakeholders and external partners.
• Monitor model performance, perform back‑testing, and iteratively improve algorithms.
• Stay current with emerging sports analytics techniques, betting regulations, and industry trends.

Qualifications

• Bachelor’s or higher in Mathematics, Statistics, Computer Science, Sports Management, or a related field.
• 2+ years of experience in data analysis, preferably within sports, betting, or fantasy gaming.
• Proficiency in Python or R, SQL, and data‑visualization tools (e.g., Tableau, PowerBI).
• Strong understanding of probability, regression, machine learning, and time‑series analysis.
• Excellent communication skills and a passion for sports and accurate predictive modeling.

What We Offer

• Competitive salary of $112,490.37 per year.
• Dynamic, fast‑paced startup environment with growth opportunities.
• Access to cutting‑edge sports data and analytics tools.
• Collaborative culture that values creativity, curiosity, and teamwork.

Frequently Asked Questions

What type of data will I work with as a Sports Data Analyst?

You will handle real‑time sports statistics, player metrics, game events, and betting odds from various feeds, transforming them into actionable insights.

Do I need prior experience in sports betting?

While direct betting experience is valuable, strong analytical skills, statistical knowledge, and a passion for sports are the core requirements.

Is remote work possible for this position?

The role is based in North Beach, San Francisco, and requires on‑site collaboration, though occasional remote work may be accommodated.