Role: Data Analyst (DOMO)
Location: Remote
Employment: 6 month C2H
Skills
- KPI
- Data Visualization
- DOMO/Power BI/ Tableau (they will be using DOMO)
- Need clinical healthcare exp
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 organizations 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 organizations 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 datadriven 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 crossfunctional stakeholders
- Develop strong relationships with crossfunctional teams within the company and across platform partners
- Participate in technical projects for provider practices systems including integration with addon 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 problemsolving skills with an emphasis on product development
- Excellent written and verbal communication skills
- Ability to work in a fastpaced 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 realworld 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.