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Business Intelligence Analyst
1 month ago
We are seeking a BI Data Analyst to join our team. This role involves providing key insights to stakeholders to influence business decisions. You will be expected to collaborate cross-functionally to identify technical challenges, design reports to meet data analysis needs, and participate in technical projects for system integration.
Responsibilities:
• Conduct frequent ad hoc analyses, from conceptualization to presentation and monitoring
• Develop, manage, and maintain advanced reporting, analytics, dashboards, and other BI solutions
• Regularly analyze large datasets to discover key business trends, performance metrics, issues, and behaviors
• Develop and deliver operational performance reports on the organization’s KPIs at weekly, monthly, quarterly, and annual intervals
• Identify and implement process improvements on a continual basis
• Act as a subject matter expert on the organization’s electronic health record system, data lifecycle, and reporting tools
• Provide strategic guidance to business teams on how to best leverage these resources
• Create actionable insights and business intelligence from business data
• Provide accurate and data-driven insights and analysis to support decision makers
• Organize and present complex analyses in an actionable manner for business leaders
• Communicate and visualize results and recommendations concisely to leadership and cross-functional stakeholders
• Develop strong relationships with cross-functional teams within the company and across platform partners
• Participate in technical projects for provider practices systems including integration with add-on products necessary for satisfying regulatory measures or interfacing systems with third party vendors.
Requirements Of the Position
• Proven experience in Data Analysis
• Proficiency in using Power BI for data visualization and reporting
• Demonstrated ability to develop and track KPI reports
• Experience in Healthcare Analytics is essential
• Strong problem-solving skills with an emphasis on product development
• Excellent written and verbal communication skills
• Ability to work in a fast-paced environment with strict deadlines
• Strong attention to detail, and ability to multitask
• Experience using statistical computer languages to manipulate data and draw insights from large data sets
• Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks
• A drive to learn and master new technologies and techniques
• Strong SQL skills with the ability to perform effective querying involving multiple tables and subqueries
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations.