Data Analyst

About the Role

Zelis is modernizing the healthcare financial experience. This role is responsible for analyzing complex data sets to derive actionable insights and support data-driven decision-making across the organization.

Key Responsibilities

• Analyze large and complex data sets to identify trends, patterns, and insights.
• Develop and implement statistical models and algorithms to solve business problems.
• Validate and refine models to ensure accuracy and reliability.
• Create clear and compelling data visualizations to communicate findings to stakeholders.
• Prepare and present regular reports on data analysis outcomes to senior leadership.
• Develop dashboards and other tools to enable self-service data access for business users.
• Collect, clean, and preprocess data from various sources to ensure data quality and consistency.
• Collaborate with data engineers and IT teams to design and implement data pipelines and workflows.
• Ensure data is properly stored, organized, and accessible for analysis.
• Work closely with business stakeholders to understand their data needs and provide actionable insights.
• Collaborate with cross-functional teams, including marketing, product, and finance, to support data-driven decision-making.
• Provide training and support to team members on data analysis and visualization best practices.
• Stay informed about industry trends, emerging technologies, and best practices in data analysis.
• Identify opportunities for process improvements and implement innovative solutions.
• Attends company training and regional training in area of expertise.
• Presents own work to members of department.

Requirements & Tech Stack

• Proficiency using AI tools skillfully with an understanding of how to develop/create intelligent prompts and/or agents.
• Fluency with data analysis tools (e.g., SQL, Python, R, Excel).
• Proficiency with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Knowledge of machine learning techniques and algorithms.

Qualifications

• Typically has Bachelor's degree + 2-3 years of experience; Master's degree + 0 years of experience.
• Healthcare claims editing experience a plus.
• Understanding of statistics and data modeling preferred.
• Strong communication, analytical, and problem-solving skills.
• Excellent attention to detail and accuracy.
• Experience presenting findings to senior leadership team.
• Certification in data analysis or related fields.