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Senior Data Analyst | $60/hr Max
Mercor
Remote · Canada Part-time $40 – $60/hr 3w ago
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
- 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
- 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.
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.
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