Business Intelligence Engineer - Remote US
The Business Intelligence Engineer 2 assists in providing comprehensive data to clinical teams who are performing outreach to members. This role solves complex business problems and issues using data from internal and external sources to provide insight to the clinical teams and the members they contact. The Business Intelligence Engineer 2 must have excellent attention to detail and problem-solving skills. If you are interested in combining technology and clinical information for the sake of Humana members, this position is for you.
The Business Intelligence Engineer 2 helps develop and define tools, technologies, applications, and practices used to collect, integrate, analyze, and present an organization's raw data. This data is then used to create insightful and actionable business applications, dashboards and reports that assist clinical staff in understanding members’ medication profiles. The Business Intelligence Engineer 2 supports department, segment, and organizational strategy and operating objectives, by pulling together data from related areas. This role makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. The Business Intelligence Engineer 2 follows established guidelines/procedures and works well with the team to cross-train. The team shares knowledge to support and improve processes overall for clinical outreach efforts moving forward.
Use your skills to make an impact
Required Qualifications
- Associate Degree in Computer Science, Engineering or related field
- 1or more years of programming experience in PowerApps, Power BI and/or .NET
- 1 or more years of experience with SQL, SAS or other data systems.
- Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
- Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Preferred Qualifications
- Bachelor's Degree or higher in Computer Science, Engineering or related field
- 1 or more years of technical experience in data analysis
- Experience with SSIS packages
- In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
- Experience with data mining, file processes and assessing complex data sets
- PBM/Pharmacy experience is a plus
Scheduled Weekly Hours
40Pay Range
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.
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.About us
Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
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Regions Countries Benefits/Perks401(k) retirement savings plan Bonus incentive plan Competitive benefits Dental Life Insurance Medical Medical, dental, and vision benefits Paid parental and caregiver leave Paid Time Off Parental and Caregiver Leave Personal holidays Short Term and Long Term Disability Time off Vision Vision Benefits Volunteer time Volunteer time off
SkillsAccess BI Business Business Intelligence Computer Data Data analysis Data Mining Engineering Excel Healthcare Medicaid Medicare Microsoft Excel Microsoft Office Microsoft Office Applications .Net Organizational Pharmacy PowerApps Power BI Problem-solving SAS SQL SSIS Strategy Teams Technology Wellness
Tasks- Create business applications, dashboards, and reports
- Cross-train with the team
- Data Analysis
- Develop tools and technologies for data collection and analysis
- Provide comprehensive data to clinical teams
- Solve complex business problems using data
- Support department and organizational strategy
- Training
1 year
EducationAssociate Degree in Computer Science Bachelor's Bachelor's degree Business Computer Science Engineering Related Field
RestrictionsRemote US
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9