Business Intelligence Analyst

About the Role

The National Pharmacy Team is organized into three distinct pillars: Pharmacy Consulting and Analytics, Auditing, and PillarRx Copay Maximization. As a Business Intelligence Analyst, you will have the opportunity to work on complex projects, develop custom data models and algorithms, and create data visualizations to support user stories and drive actionable insights.

What You Will Do

• Work with stakeholders to identify opportunities for leveraging company data to drive business solutions
• Analyze and synthesize data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies
• Develop custom data models and algorithms and create data visualizations to support user stories and drive actionable insights
• Drive discussions on data and insights, context, and implications with business and technology partners
• Identify, design, and implement internal process improvements and best practices, such as automation of manual processes and optimization of data models
• Implement observability tools to track data quality, users, and performance and enable strategic planning of product enhancements and process improvements
• Perform root cause analysis on logic changes and bug identification to identify opportunities for product improvement
• Create and maintain product-related documentation, such as project plans and business and technical requirement documents
• Communicate technical specifications to ensure that proper and optimized techniques, queries, and final deliverables are understood and incorporated into data and analytics processes
• Comply with and adhere to all regulatory compliance areas, policies, and procedures, including HIPAA requirements

What We Are Looking For

• B.S. in Computer Science, Business Analytics, or a similar field
• 5+ years of relevant working experience in the data analytics field
• Proficiency in Tableau, Qlik, or similar data visualization and analytics tools
• Working SQL knowledge and experience with relational databases and query authoring
• In-depth understanding of relevant data analytics best practices and expertise with tools needed to debug and diagnose issues
• Ability to thrive in a fast-paced environment and adapt to change in direction and priorities
• Strong communication and collaboration skills
• Experience with data modeling and data warehousing

Nice to Have

• Experience with machine learning algorithms and predictive modeling
• Knowledge of cloud-based data platforms, such as AWS or Azure
• Familiarity with data governance and data quality best practices
• Certification in data analytics or a related field

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a leading insurance company
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible working hours and remote work options
• Access to cutting-edge data analytics tools and technologies
• Recognition and reward for outstanding performance
• Comprehensive health insurance and retirement plans

• Brush up on your Excel skills, including data modeling and visualization, to stand out in the application process.
• Be prepared to provide specific examples of how you have used data analytics to drive business solutions in previous roles.
• Familiarize yourself with data visualization tools, such as Tableau or Qlik, and be prepared to discuss your experience with these tools.
• Highlight your ability to work in a fast-paced environment and adapt to change in direction and priorities.
• Be prepared to discuss your understanding of data governance and data quality best practices, and how you have implemented these in previous roles.
• Consider creating a portfolio of your work, including examples of data visualizations and analytics projects, to demonstrate your skills and experience.