Provide training and screen sharing sessions to internal and external customers regarding data visualizations.Create a variety of dashboards that visualize data.Develop and maintain ETL between relational database and data warehouse.Contribute to strategic objectives and roadmap goals as defined by the Company.To learn more about our commitment to health and safety of our people, click here. Key to this role is the ability to understand the business problem and solve it by visualizing the data.Īs a condition of employment at CHG Healthcare you must be fully vaccinated against COVID-19 prior to your start date, subject to reasonable accommodations as required by law. This is a blended role that requires technical skills that include ETL and data warehousing experience along with the ability to create and build meaningful dashboards in our Analytics platform, Sisense. LocumsMart is looking for the perfect candidate that has a love of data and all things Business Intelligence. Keeping healthcare healthy can be as fun as it is rewarding.
This means you’ll have plenty of opportunities to grow and develop in your career. Our industry is growing and demand is high. As the largest physician staffing firm in America, our providers treat millions of patients each year. We connect doctors with patients who need their care. This necessitates a unique set of features from one's business intelligence platform.CHG shook things up in 1979 by inventing the locum tenens staffing model. If one has a lot of busy users, one needs a backup strategy to get data into their hands using push-based approaches. They do, however, necessitate that the user logs in to the system on a regular basis in order to consume the available information. Dashboards are simply one method for meeting pull-based demand. What kinds of graphs and charts are available on the platform? Can these be combined into a dashboard of tiles, each displaying a different aspect of the overall performance story? Is it possible for the end-user to customize these dashboards? Are the visualizations clean in terms of the colors and forms available? Users will spend a significant amount of time interacting with one's business intelligence platform, and these variables will be used to decide whether or not they are satisfied with the tool.ĭashboards are an excellent way to get information into the hands of one's users, but they are not the only ones. When comparing the data visualization components of various BI platforms, consider the possibilities for delivering results to one's end users. They will be concerned with the aesthetics as well as the timeliness and accuracy of the reports. One's users will assess one's success based on how good the final results turn out. When comparing different business intelligence platforms, one of the first things to consider is data visualization, which will become the metric by which one's team's success is measured.
It is easy to become overwhelmed while attempting to determine which platform will work best for one's firm. When one starts evaluating these BI platforms, one will immediately find that they are much more than just a report-creation tool they are an ecosystem that supports data analysis, data synthesis, and data dissemination. BI engineers frequently contribute to this endeavor, but they are also responsible for developing and maintaining the infrastructure and architecture that supports continuing analysis and reporting.Īs a business intelligence engineer, one is responsible for evaluating various technologies and determining which platform would best serve one's company's goals and work with one's entire organizational design. A BI analyst builds reports and analytics using current infrastructure to answer queries for management decision-making. Because the job requirements and needs differ, this creates a significant deal of uncertainty. įremont, CA: Business intelligence (BI) engineer and business intelligence analyst are words that are frequently used interchangeably. As a business intelligence engineer, one is responsible for evaluating various technologies and determining which platform would best serve one's company's goals and work with one's entire organizational design.
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