Business Intelligence Engineer II

Profile

Description

The Business Intelligence Engineer 2 solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

The Business Intelligence Engineer 2:


Describes the 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.
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.


What Humana Offers

We are fortunate to offer a remote opportunity for this job. Our Fortune 100 Company values associate engagement & your well-being. We also provide excellent professional development & continued education.

Required Qualifications


Bachelor's Degree
Minimum 2 years of technical experience in data analysis
Intermediate experience of Microsoft Office Applications including Word, Excel (including formulas, pivots, charts, graphs), Access and PowerPoint
Minimum 1 year of experience in SQL, SAS, or other data systems
Expertise in assessing complex data sets and performing root cause analysis
Must be passionate about learning and contributing to an organization focused on continuously improving consumer experiences
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, MBA, or related field
Experience with Data Flow Architecture as well as API, Schema Design, and implementation
Experience working with IT partners throughout the Software Development Lifecycle using Agile methodologies and moving data to the cloud


Additional Information -- How We Value You


Benefits starting day 1 of employment
Competitive 401k matching
Generous Paid Time Off Accrual
Tuition Reimbursement
Parent Leave
Go365 Perks for Well-being


Scheduled Weekly Hours

40

Company info

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