Location
Honolulu, HI, United States
Posted on
Jun 18, 2021
Profile
Description
Are you passionate about numbers? Do you like to develop relationships and share your ideas that help push the transformation in the way Humana is using data and sharing data? Do you have a curiosity in how things work and push to find a solution? Are you schooled in the art and science of the technology stack and can understand how data performance can be just as important as the message it delivers? If this sounds like what you interested in pursuing, let's chat.
Responsibilities
Humana's Provider Attribution team is looking for a Senior Business Intelligence Engineer to join working remote anywhere in the US. Provider Attribution is the process of assigning patients to a provider or group of providers with the goal of identifying which providers have provided care to our members in the past and which providers are most likely to interact with members in the future. It is a fundamental driver for clinical member and provider engagement, rewards, and network programs to influence and impact member care and outcomes, improve and obtain documentation required for accurate reimbursement, drive efficiencies in the health care delivery system, and establish reward and incentive programs for providers.
In this role you will help solve complex business problems and issues using data from internal and external sources to provide insight to decision-makers. You will help co-create dashboards, apps, and flows that empower the business and incubate the capabilities within the business. You will bring innovative ideas that show the different ways that use Azure and the Power Platform.
The ideal candidate will be passionate about data, build confidence with teams and influence teams. We are seeking a candidate who can apply a logical, systematic approach to problem solving using statistical/innovative/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to resolve business problems and drive change. A team player that wants to collaborate and work collectively to the goals of the team.
Required Qualifications
Bachelor's degree or equivalent related work experience in data analysis
4 years of technical experience in data analysis
Comprehensive knowledge of Microsoft Office Applications including: Word, Excel, Access and PowerPoint
Advanced experience working with big and complex data sets within large organizations
Advanced in SQL, SAS or other data systems
Proficiency in understanding Healthcare related data
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
Experience creating analytics solutions
Work at Home/Remote Requirements
Must ensure designated work area is free from distractions during work hours and virtual meetings
Must provide a high-speed DSL or cable modem for a workspace (Satellite and Hotspots are prohibited). A minimum standard speed of 10x1 (10mbs download x 1mbs upload) for optimal performance of is required
Preferred Qualifications
Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
Experience with Microsoft Azure
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
Scheduled Weekly Hours
40
Company info
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