

Crossing Hurdles
Sports Data Analyst | $60/hr Remote
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sports Data Analyst, offering $40-$60/hr on a remote hourly contract (20-40 hours/week). Requires professional experience in sports analytics, strong analytical skills, and a relevant degree. Key skills include data integrity and performance analysis.
π - Country
United Kingdom
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
March 10, 2026
π - Duration
Unknown
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ποΈ - Location
Remote
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π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
United Kingdom
-
π§ - Skills detailed
#Data Analysis #Statistics #Datasets #Data Science #Data Integrity
Role description
Position: Sports Analytics Evaluators
Type: Hourly contract
Compensation: $40-$60 per hour
Location: Remote
Commitment: 20β40 hours/week
Role Responsibilities
β’ Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
β’ Assess insights derived from player statistics, team metrics, and game analytics
β’ Verify statistical tables, historical records, and league data using reputable public sources
β’ Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations
β’ Work independently to complete evaluations within deadlines
β’ Maintain consistency and precision across all assigned tasks
Requirements
β’ Professional experience in sports analytics, performance analysis, sports data research, or related roles
β’ Experience working with player statistics, advanced metrics, and performance indicators
β’ Familiarity with team performance data, win-loss trends, and efficiency metrics
β’ Experience analysing league standings, rankings, and seasonal comparisons
β’ Hands-on exposure to historical sports records and longitudinal performance data
β’ Experience interpreting game analytics such as play-by-play data, predictive models, or advanced statistical metrics
β’ Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources
β’ Strong analytical skills and attention to detail
β’ Excellent written communication skills
β’ Ability to work independently and asynchronously
β’ Bachelorβs or Masterβs degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field
Application Process (Takes 20 Mins)
β’ Upload resume
β’ Interview (15 min)
β’ Submit form
Position: Sports Analytics Evaluators
Type: Hourly contract
Compensation: $40-$60 per hour
Location: Remote
Commitment: 20β40 hours/week
Role Responsibilities
β’ Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity
β’ Assess insights derived from player statistics, team metrics, and game analytics
β’ Verify statistical tables, historical records, and league data using reputable public sources
β’ Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations
β’ Work independently to complete evaluations within deadlines
β’ Maintain consistency and precision across all assigned tasks
Requirements
β’ Professional experience in sports analytics, performance analysis, sports data research, or related roles
β’ Experience working with player statistics, advanced metrics, and performance indicators
β’ Familiarity with team performance data, win-loss trends, and efficiency metrics
β’ Experience analysing league standings, rankings, and seasonal comparisons
β’ Hands-on exposure to historical sports records and longitudinal performance data
β’ Experience interpreting game analytics such as play-by-play data, predictive models, or advanced statistical metrics
β’ Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources
β’ Strong analytical skills and attention to detail
β’ Excellent written communication skills
β’ Ability to work independently and asynchronously
β’ Bachelorβs or Masterβs degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field
Application Process (Takes 20 Mins)
β’ Upload resume
β’ Interview (15 min)
β’ Submit form






