Description

The Senior Business Intelligence Engineer uses state of the art data analytics and visualization techniques to provide insight to decision-makers. As healthcare moves to leverage data and AI in an increasingly sophisticated way the Senior Business Intelligence Engineer will have an ability to shape this transformation and meaningfully impact the quality of health-care processes and improve health and satisfaction from care we provide to our members.

Responsibilities

The Senior Business Intelligence Engineer uses state of the art data analytics and visualization techniques to provide insight to decision-makers. As healthcare moves to leverage data and AI in an increasingly sophisticated way the Senior Business Intelligence Engineer will have an ability to shape this transformation and meaningfully impact the quality of health-care processes and improve health and satisfaction from care we provide to our members.

• Job Description

The Senior Business Intelligence Engineer develops tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Dashboards and reports developed provide new level of understanding, influence and track execution of department’s strategy focused on improving health and satisfaction of our members. Senior BI Engineer decides on technical approach for project components, and work is performed without direction with a considerable latitude in determining objectives and approaches to assignments. Role will specifically help with the adoption Power Platform adoption within the organization.

Your main responsibilities would primarily involve the following:

• Lead healthcare analytics visualization projects
• Enable “citizen data scientists” to perform sophisticated analyses using advanced analytics tools and technologies
• Support and lead initiatives during development of cloud based analytics platform
• Work collaboratively to design, build and maintain an integrative data and analytics platform from administrative claims and other data sources to support research and reporting
• Work collaboratively to optimally apply data warehouse, cloud and BI architecture, data science and visualization tools and techniques (i.e. dashboards)
• Identify and understand business and clinical issues to map these issues into quantitative questions
• Coordinate the integration of data to determine clinical and economic trends and impact
• Work with complex health care databases to produce statistical output and interpret results
• Communicate insights and analytical findings to a broad range of audiences
• Ensure that reports and dashboards provide high quality of data on a daily basis
• Track and encourage adoption and usage of developed tools and reports

Required Qualifications

• Bachelor's degree
• 5+ years of technical experience in data analysis
• Experience leading cloud database design, integration, data ingestion efforts
• Advanced and hands on SQL, Query optimization and/or data analytics skills
• Specific experience on Azure Cloud product suite
• Advanced experience working with big and complex data sets within large organizations
• Specific experience using PowerBI tool stack including visualizations, data flows, PowerApps,, Power Automate
• Experience with Tabular models and DAX
• Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
• Proficiency in verbal and written communication to senior and executive leadership

Preferred Qualifications

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
• Advanced in SQL, SAS and other data systems
• Experience with tools such as Tableau and Qlik for creating data visualizations
• Expertise in data mining, forecasting, simulation, and/or predictive modeling
• Experience creating analytics solutions for various healthcare sectors
• Familiarity with big data languages such as R, Python/PySpark and familiarity with cloud architecture
• Experience in developing OLAP cubes in SAS, PySpark, etc.
• Proficiency in understanding Healthcare related data

Required Qualifications

• Bachelor's degree and 5 or more years of technical experience in data analysis OR Master's degree and 3 or more years of experience
• Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
• Advanced experience working with big and complex data sets within large organizations
• Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
• Proficiency in understanding Healthcare related data
• Proficiency in verbal and written communication to senior and executive leadership
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

• Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
• Advanced in SQL, SAS and other data systems
• Experience with tools such as Tableau and Qlik for creating data visualizations
• Expertise in data mining, forecasting, simulation, and/or predictive modeling
• Experience creating analytics solutions for various healthcare sectors