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Sports Data Analyst
Swish AnalyticsData Analyst specializing in football data for predictive analytics at Swish Analytics. Collaborating with Data Scientists to ensure data integrity and accuracy in sports analytics products.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- Health insurance
- Remote work options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLData ExtractionData WranglingData AnalysisData ValidationData PipelineMetadata ConstructionFeature DevelopmentModel Analysis
Soft Skills
Attention to DetailDocumentationCollaborationProblem SolvingResearch
Certifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Data Science