Data Analyst

About Zelis

Position overview

Data analysis and communication

• Analyze large, complex datasets to identify trends, patterns, and insights.
• Develop and implement statistical models and algorithms, then validate and refine them for accuracy and reliability.
• Create visualizations and present analysis findings and regular reports to stakeholders and senior leadership.
• Develop dashboards and other self-service data access tools for business users.

Data management and collaboration

• Collect, clean, and preprocess data from various sources to ensure quality and consistency.
• Collaborate with data engineers and IT teams on data pipelines and workflows.
• Ensure data is stored, organized, and accessible for analysis.
• Work with stakeholders to understand their data needs and provide actionable insights.
• Collaborate with marketing, product, and finance teams to support data-driven decisions.
• Train and support colleagues on analysis and visualization best practices; present work to department members.
• Stay informed about industry trends and analysis technologies; identify and implement process improvements.

Required qualifications

• Typically, a bachelor’s degree plus 2–3 years of experience, or a master’s degree plus 0 years of experience.
• Proficiency using AI tools, including developing or creating intelligent prompts and/or agents.
• Fluency with data analysis tools such as SQL, Python, R, or Excel.
• Strong communication, analytical, and problem-solving skills; attention to detail and accuracy.
• Experience presenting findings to senior leadership.
• Knowledge of machine learning techniques and algorithms.
• Certification in data analysis or a related field.

Preferred qualifications

• Proficiency with Tableau or Power BI is a plus.
• Healthcare claims editing experience is a plus.
• Understanding of statistics and data modeling is preferred.
• Experience with big data technologies such as Hadoop or Spark is a plus.

Workplace information

• Work-location expectations vary by role and are determined by leadership based on position needs; in-office work varies with work and team objectives.
• Candidates within approximately 50 miles of a U.S. office are generally preferred to support collaboration when needed.