Data Analyst
Skills
- Statistical data analysis and applied statistics
- Experience with large, complex datasets
- Programming skills in R and Python
- Data visualization expertise with Tableau
- Proficiency in SQL
- Experience with cloud computing platforms such as AWS, Sagemaker, and Snowflake
- Strong scripting and automation abilities
- Ability to communicate analytical results to diverse healthcare audiences
Responsibilities
- Apply data mining and statistical analysis techniques to healthcare and financial datasets
- Extract, cleanse, validate, and process data for analysis
- Develop and maintain automated workflows to improve data handling efficiency
- Integrate third-party data sources to enrich company data
- Enhance data collection methods for analytic systems
- Collaborate with the data science team to improve StrataSphere products
- Perform quality assurance and error correction on analytics products
- Engage with customers and team members to address data and analytics queries
- Conduct ad-hoc analyses and present clear, actionable results
- Create analytics dashboards and reports using Tableau and Excel
- Develop automated anomaly detection systems and monitor their performance
- Partner with Data Scientists on advanced modeling tasks
Education
- Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Healthcare Analytics)
Benefits
- Comprehensive retirement benefits
- Health and welfare plans
- Paid time off and parental leave
- Life and accident insurance
- Various voluntary and well-being benefits
Average salary estimate
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