Analyst, Business Analytics
New
J
JobgetherHealthcare Analytics
Based in the United StatesFull-TimeMiddle
Salary70,000 - 78,500 USD per year
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Job Details
- Experience
- At least 1 year of full-time experience
- Required Skills
- SQLData AnalysisMicrosoft ExcelData visualizationRReporting
Requirements
- Bachelor’s degree from an accredited institution in Economics, Business, Mathematics, Statistics, Computer Science, or a related discipline.
- At least 1 year of full-time experience in healthcare-related analytics, reporting, software, consulting, or a comparable analytical environment.
- Experience using SQL, R, or another programming or data-analysis language.
- Ability to work with diverse data assets, investigate complex problems, and identify meaningful insights.
- Excellent data visualization capabilities and familiarity with data visualization software.
- Experience developing analyses and reports and creating presentation decks for varying technical audiences.
- Strong analytical, critical-thinking, and problem-solving abilities.
- Effective written and verbal communication skills.
- Familiarity with AI agents or AI-powered tools is preferred.
- Collaborative mindset and willingness to contribute to peer review and shared problem-solving.
- Ability to work effectively in a multidisciplinary, customer-focused environment.
Responsibilities
- Develop standard and ad hoc analytics and reports, adapting established data narratives to uncover actionable customer insights.
- Analyze large relational datasets using basic SQL and supplement analyses with Excel or other appropriate tools.
- Create compelling visualizations and presentation materials that communicate findings, trends, and recommendations.
- Partner with product management and data engineering teams on user acceptance testing and the development of analytics dashboards.
- Build and maintain strong knowledge of the organization’s data model to ensure report accuracy and relevance.
- Collaborate with multidisciplinary teams and customers to investigate complex questions and translate findings into practical actions.
- Support peer review and collaborative problem-solving to maintain quality and consistency of deliverables.
- Participate in ongoing professional development focused on technical capabilities and data storytelling.
- Explore AI-enabled tools to improve the efficiency and quality of analytical workflows.
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