As a Data Programmer in the Casualty Analytics Group, you will play a crucial role in building and supporting the foundation of Enlyte's data-driven decision-making process. Your responsibilities will include enhancing our central databases, supporting insurance claim data analysis, and developing solutions to communicate and monitor results.
Key Responsibilities:
- Execute data extraction, transformation, and loading (ETL) tasks using SQL and Python
- Collaborate with business teams to implement new data features, promote adoption of central databases, and drive company-wide insights
- Analyze insurance claim data using advanced techniques such as predictive modeling and machine learning
- Design and develop tools, metrics, and dashboards for data visualization and insights
- Implement technical solutions to address business challenges
- Utilize dashboarding tools to effectively communicate and monitor results
Qualifications
- Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, or a related discipline
- 0-1 years of experience with SQL and Python for data manipulation, analysis, and visualization
- Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
- Proficiency in data visualization tools such as Tableau or Power BI
- Solid understanding of data warehousing concepts, database management, and ETL practices
- Demonstrated ability to build scalable solutions (e.g., efficient algorithms, optimized database queries, code for large datasets)
- Enthusiasm for staying current with the latest trends and advancements in data analytics
Preferred Skills:
- Advanced degree in a quantitative field such as Data Science, Computer Science, Statistics, or a related discipline
- Experience with analytics platforms like Hex
- Familiarity with big data technologies such as Snowflake
- Knowledge of the workers' compensation insurance industry