Data Analyst | Upto $60/hr Hourly
Mercor
About the role
**About The Job** • *Mercor** connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include • *Benchmark** , • *General Catalyst** , • *Peter Thiel** , • *Adam D'Angelo** , • *Larry Summers** , and • *Jack Dorsey** . • *Position:** Expert Evaluator • *Type:** • *Part-time** • *Compensation:** • *$40–$60/hour** • *Location:** • *Remote** • *Commitment:** • *20–40 hours/week** • *Role Responsibilities**
- Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity. - Assess insights derived from player statistics, team metrics, and game analytics. - Verify statistical tables, historical records, and league data using reputable public sources. - Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations. - Work independently and asynchronously to complete evaluations within deadlines. - Maintain consistency and precision across all assigned tasks. • *Qualifications** • *Must-Have**
- 2–3 years of professional experience in sports analytics, performance analysis, sports data research, or related roles. - Experience with player statistics, advanced metrics, and performance indicators. - Familiarity with team performance data, win-loss trends, and efficiency metrics. - Experience in analyzing league standings, rankings, and seasonal comparisons. - Hands-on exposure to historical sports records and longitudinal performance data. - Experience interpreting game analytics such as play-by-play data, predictive models, or advanced statistical metrics. - Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources. - Strong analytical skills and attention to detail. - Excellent written communication skills. - Comfort working independently and asynchronously. - Bachelor’s or Master’s degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field. • *Application Process (Takes 20–30 mins to complete)**
- Upload resume - AI interview based on your resume - Submit form • *Resources & Support**
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome - For any help or support, reach out to: support@mercor.com • PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.* ,
Requirements
- 2–3 years of professional experience in sports analytics, performance analysis, sports data research, or related roles.
- Experience with player statistics, advanced metrics, and performance indicators.
- Familiarity with team performance data, win-loss trends, and efficiency metrics.
- Experience in analyzing league standings, rankings, and seasonal comparisons.
- Hands-on exposure to historical sports records and longitudinal performance data.
- Experience interpreting game analytics such as play-by-play data, predictive models, or advanced statistical metrics.
- Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources.
- Strong analytical skills and attention to detail.
- Excellent written communication skills.
- Comfort working independently and asynchronously.
- Bachelor’s or Master’s degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field.
Responsibilities
- Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity.
- Assess insights derived from player statistics, team metrics, and game analytics.
- Verify statistical tables, historical records, and league data using reputable public sources.
- Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations.
- Work independently and asynchronously to complete evaluations within deadlines.
- Maintain consistency and precision across all assigned tasks.
Skills
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