Data Analyst

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

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

Bachelor's degree in a quantitative field such as Data Science, Computer Science, Statistics, Engineering, or a related discipline

• Minimum 3 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

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