Autonomous Live Valuation: Engineer the logic synthesizing real-time sports data, player metrics ... Expertise in building error-tolerant infrastructure that remains rock-solid under extreme ...
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Autonomous Live Valuation: Engineer the logic synthesizing real-time sports data, player metrics ... Expertise in building error-tolerant infrastructure that remains rock-solid under extreme ...
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$46.59K - $86.53K/yr
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In addition, the group provides custom research and data analysis support to subscribing clients. PitchBook's Data Analyst works with private markets transaction data to develop meaningful insights ...
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$70K - $100K/yr
Our Interview Copilot listens to live meetings and provides real-time answers and suggestions. We ... Ability to communicate insights clearly in written English. * Strong analytical thinking and ...
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Manhattan, NY · Remote
$70K - $100K/yr
Our Interview Copilot listens to live meetings and provides real-time answers and suggestions. We ... Ability to communicate insights clearly in written English. * Strong analytical thinking and ...
Bachelor's degree in Sports Science, Coaching, Data Analytics, or a related field would be helpful but not essential. * Experience of working in a video/data analyst role at a professional level in ...
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We invite you to join us in this journey!..Come be a part of one of the most exciting and fastest ... Strong analytical skills with the ability to quickly translate data into actionable insights.
We invite you to join us in this journey!..Come be a part of one of the most exciting and fastest ... Strong analytical skills with the ability to quickly translate data into actionable insights.
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Los Angeles, CA · On-site
$92.70K - $116.90K/yr
... in transforming sports and live entertainment. Annually, we host more than 160 million guests ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...
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Los Angeles, CA · On-site
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... in transforming sports and live entertainment. Annually, we host more than 160 million guests ... Job Summary The Sr Data Analyst must have a honed skill for choosing the right lens through which ...
Live In Sports Data Analyst information
See salary details
$34K - $43.3K
4% of jobs
$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
$34K
$82.6K
$136K
How much do live in sports data analyst jobs pay per year?
As of May 29, 2026, the average yearly pay for live in sports data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
More about Live In Sports Data Analyst jobs
What cities are hiring for Live In Sports Data Analyst jobs? Cities with the most Live In Sports Data Analyst job openings:
What are the most commonly searched types of Sports Data Analyst jobs? The most popular types of Sports Data Analyst jobs are:
What states have the most Live In Sports Data Analyst jobs? States with the most job openings for Live In Sports Data Analyst jobs include:
What job categories do people searching Live In Sports Data Analyst jobs look for? The top searched job categories for Live In Sports Data Analyst jobs are:
Full-time
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Job description
About the role:
You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation.
Focus: Architecting a multi-market autonomous pricing engine.
Responsibilities: - Autonomous Live Valuation: Engineer the logic synthesizing real-time sports data, player metrics, and market feeds into fair-value anchors and dynamic, real-time spreads.
- Liability & Inventory Skewing: Build self-correcting models that automatically adjust odds based on book exposure and lopsided betting volume to incentivize balancing the book.
- Defensive Design & Sharp Mitigation: Implement high-velocity protocols to mitigate adverse selection from "sharp" action, court-siding, and information asymmetry in milliseconds.
- Risk Automation & Hedging: Define the algorithmic logic for warehousing sports risk internally versus routing and hedging exposure across external exchanges and market makers.
- Technical Translation: Convert complex sports pricing strategies and mathematical models into scalable requirements for data and platform engineering teams.
- Trading Desk Guardrails: Partner with the risk desk to define the engine’s operational boundaries, maximum liability thresholds, and automated kill-switches.
- Real-Time Leadership: Act as the technical anchor during high-leverage sporting events, providing rapid calibration and manual intervention when the system is under peak pressure.
- Quantitative Sports Fluency: Deep understanding of probability, binary prediction contracts, and sports analytics; treating every match, inning, or political event as a shifting probability curve.
- Pipeline Design: Experience building production-ready betting or trading systems, from low-latency sports data ingestion (e.g., Opta, Sportradar) to automated bet acceptance engines.
- Applied Data Science: Success deploying predictive models that learn from in-play microstructure, public betting sentiment, and price velocity.
- Systems Integrity: Expertise in building error-tolerant infrastructure that remains rock-solid under extreme throughput (e.g., Super Bowl, World Cup, or election nights).
We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.