Job Descriptions:
Minimum qualifications:
- Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics and Economics, or a related quantitative field.
- 5+ years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, SQL) or work experience with a Master's degree.
Preferred qualifications:
- Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
- 5+ years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (Python, SQL).
Responsibilities
- Implement tracking and reporting of metrics. Work with large data sets, automate data extraction, build monitoring/reporting dashboards and high-value, automated Business Intelligence solutions (e.g., data warehousing and visualization).
- Design, develop and establish Key Performance Indicators to monitor the health of database assets and the performance of internal operations, putting data models and analytics in place that provide a platform for decision-making.
- Perform large-scale data analysis and modeling to identify opportunities for improvement and measure the impact of initiatives to make noticeable improvements based on impact and feedback
Job Type: Contract
Pay: Up to $38.00 per hour
Expected hours: 40 per week
Experience:
- Python: 5 years (Required)
- SQL: 5 years (Required)
- Data science: 5 years (Required)
Work Location: In person
