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Senior Data Analyst
1 month ago
Responsibilities:
• Use data from CMS and other data sources, ensuring accurate data input, processing, retrieval, and output through various computer applications and database management systems.
• Develop and implement predictive modelling and profiling strategies to translate results into actionable insights.
• Regularly update and use data tools for daily reporting, dashboards, and machine learning models.
• Prioritize reporting and information needs in collaboration with the team.
• Effectively communicate project results and timelines to both internal leaders and external partners.
• Carry out additional duties as assigned.
• Apply knowledge of standard methods for measuring healthcare utilization, spending, quality, outcomes, risk adjustment, and provider profiling.
• Manage multiple projects and conflicting priorities.
• Use business intelligence and data visualization tools such as PowerBI.
• Incorporate Agile process methodologies into your work.
• Maintain proficiency in Office Suite.
• Display excellent oral and written communication skills, with the ability to present complex information in a clear and compelling manner.
• Demonstrate the ability to work independently and within a team environment.
• Show proven ability to work in a fast-paced environment.
• Candidate must possess a minimum of 2 years' experience in a Data Analyst role or similar.
• Proficiency in Microsoft Excel is mandatory.
• Strong skills in data aggregation and analysis are necessary.
• Familiarity with Microsoft Power BI is preferred.
• Candidates should have experience in predictive modeling.
• Knowledge of the healthcare industry is desirable.
• Experience in risk analytics is preferable.
