Business Intelligence Analyst III

Schedule: 8:00AM – 5:00PM Monday – Friday (On call support required, as needed).

Location: Remote

• Research industry practices and perform complex data analyses to identify trends, insights, and recommendations.
• Present findings through clear written reports, data visualizations, and verbal presentations tailored to non‑technical audiences.
• Translate analytical service requests into actionable, business‑facing insights.

• Ensure timely delivery of all assigned analytical work consistent with established operational metrics and SLAs.
• Recommend enhancements to data solutions that support both the Data Analysis Services team and business partners.
• Troubleshoot data issues and communicate remediation needs to appropriate platform owners.

• Maintain ongoing communication with users, managers, corporate leaders, and vendors to support current initiatives.
• Effectively communicate complex technical concepts to a variety of audiences.
• Work collaboratively in a team environment and hand off complex tasks when needed.

• Mentor assigned team members to support skill development and knowledge growth.
• Recommend process improvements and contribute toward a culture of operational excellence.

• Education: High School Diploma or GED, required. 2 Year / Associate Degree, required. 4 Year / Bachelors Degree Business, computer science, mathematics, statistics, healthcare informatics, or related field, required. Graduate Degree, preferred.
• Experience: Minimum six years relevant experience, required.
• Licensure/Certification: EPIC or MS Certification, preferred.
• Additional Skills (required): Ability to drive/travel to multiple locations/facilities as needed. Solid knowledge/usage of Structured Query Language (SQL). Solid knowledge/usage of SAP Business Objects Suite, Crystal Reports, and/or other similar business intelligence tools. Solid knowledge of Excel and other database tools. Practical knowledge of data in various forms data warehouses/SQL and unstructured data environments in both on premise and cloud environments. Advanced experience with SQL, R, Python or other advanced data analysis tools. Experience in statistics and/or data science techniques. Advanced skills in data manipulation. Ability to manage multiple projects to achieve organized, on-time results. Advanced experience with one or more data visualization tools; Power BI Preferred. Experience with on premise and cloud-based data storage technologies. Experience working within process management and demonstrating knowledge of data governance and data quality management concepts. Experience with Business concepts, processes, information, and data. Comfortable working with large and complex portfolios and data structures and multiple data schemas. Understanding of Agile development methodologies. Practical knowledge of MS Office suite of products
• Additional Skills (preferred): Ability to maintain composure and communicate with a varied audience. Exceptional problem solving skills. Excellent written and verbal communication skills with ability to story tell. Exceptional interpersonal skills. Exceptional relationship management skills.