Medicaid Business Intelligence Engineer
Role details
Job location
Tech stack
Job description
A Medicaid Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
Medicaid Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, develop, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Supports development of data and creation of processes, reporting, and visualizations for all Humana Healthy Horizons Medicaid Risk Adjustment, prospective programs, and interoperability. Takes initiative to create innovative solutions to complex business problems. Manages Big Data and data quality in databricks. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures., Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40
Requirements
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2+ years of experience in Python and Pandas Python library.
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2+ years of experience in Jupyter Notebook environment.
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2+ years of experience in Databricks Platform.
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2+ years of experience in Microsoft PowerBI or other data visualization software.
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2+ years of experience working with Big Data and performing root cause analysis.
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2+ years of experience in business ownership of data processes.
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In depth experience in Microsoft Office including Excel formulas, pivots, charts, graphs, etc.
Preferred Qualifications
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Experience in Managed Care.
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Experience in Medicaid.
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Experience in risk adjustment.
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Experience with data mining and predictive modeling techniques.
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Ability to use data to drive business outcomes and decisions.
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Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field.
Benefits & conditions
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$66,800 - $91,100 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.