Junior Analytics Associate

About the Role

The Junior Analytics Associate supports the Analytics team by assisting with client implementations, data analysis, report development, and ongoing product support. This role works closely with senior team members to develop technical expertise in SQL, healthcare data, reporting tools, and Royal's analytics solutions while contributing to projects that improve operational and patient outcomes.

Key Responsibilities

• Assist with analytics implementations and client onboarding activities.
• Develop and maintain reports, dashboards, and visualizations using business intelligence tools.
• Support data validation, testing, and quality assurance efforts.
• Perform data analysis to identify trends, opportunities, and operational insights.
• Assist in troubleshooting data issues and resolving client support requests.
• Help maintain and support analytics products and reporting solutions.
• Collaborate with cross-functional teams including Product, Delivery, Support, and Development.
• Work with senior analytics team members to understand client business requirements.
• Learn and apply healthcare data standards, workflows, and reporting methodologies.
• Document processes, procedures, and client-specific reporting requirements.
• Leverage AI tools and automation opportunities to improve efficiency and data accuracy.
• Participate in training and professional development programs to expand analytics and healthcare technology expertise.
• Stay current with Royal's products, services, and industry trends.

Requirements & Tech Stack

• Basic knowledge of SQL and relational databases.
• Experience with Microsoft Excel and Microsoft Office Suite.
• Willingness to learn healthcare workflows, analytics tools, and Royal's products.

Qualifications

• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Healthcare Informatics, Mathematics, Statistics, or a related discipline, or equivalent experience.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Strong attention to detail and organizational skills.
• Ability to manage multiple priorities in a fast-paced environment.

Extra awesome:

• Exposure to Power BI, Tableau, SSRS, or similar reporting tools.
• Familiarity with healthcare data or healthcare operations.
• Basic understanding of healthcare systems such as EHR, EMR, or HL7.
• Internship or academic project experience involving data analysis.
• Experience working with Microsoft Power Platform or AI-enabled tools.