Role: Data Analyst
Duration: 6+ month contract to hire
Location: Remote
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
Collaborate with Product, Marketing, Finance and Business Operations to assess key metrics, both pre and post implementation
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.
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