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# Data Analyst

- **Company:** Zelis Healthcare
- **Location:** United States
- **Salary:** $71,000.0 - $90,250.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Data Security, Data Visualization, R (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Apache Spark, Data Pipelines
- **Published:** October 2, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18505914?backUrl=%2Fcareer%2F18505914%2FData-Analyst-Utah-Cottonwood-Heights

## About the Role

* Typically has Bach. +2-3 yrs; Masters +0 yrs
 * Requires 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.
 * 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
 * Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
 * Knowledge of machine learning techniques and algorithms.
 * Certification in data analysis or related fields.

## Description

The Analyst II, Data Analysis will be responsible for analyzing complex data sets to derive actionable insights and support data-driven decision-making across the organization. This role requires a skilled data analyst with strong analytical abilities, a deep understanding of statistical methods, and the ability to collaborate effectively with cross-functional teams. The ideal candidate will have experience in data analysis, excellent problem-solving skills, and a passion for leveraging data to drive business outcomes.

What You'll Do:

 * 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.