Sports Data Analyst

🕒 April 28

🏄 California – Remote

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⏰ Full Time

🟢 Junior

📉 Data Analyst

🦅 H1B Visa Sponsor

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Logo of Swish Analytics

Swish Analytics

11 - 50 employees

Founded 2014

🎲 Gambling

🤖 Artificial Intelligence

🤝 B2B

💰 $6.9M Series B - Swish Analytics on 2019-05

Gambling • Artificial Intelligence • B2B

Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.

📋 Description

• Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data • Source origins of data inaccuracies through data pipeline dependencies and python code base • Define data validation tests to flag future game errors • Research accurate roster active statuses, primary positions and game participation • Validate data changes after logic updates • Production model feature deep dives to explain project market lines • Clearly document findings • Develop intimate familiarity with existing databases and construct metadata references • With guidance, support lead Data Scientists in feature development and model analysis

🎯 Requirements

• Bachelor's Degree in Computer Science, Data Science or similar major • Minimum of 1 year of experience in football data analysis • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios • Data Extraction, Wrangling and Analysis in Python • Strong SQL querying skills • Attention to detail

🏖️ Benefits

• Health insurance • Remote work options

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