Humana Business Intelligence Engineer II -- Remote in Montpelier, Vermont
The Business Intelligence Engineer II solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Business Intelligence Engineer II work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
The Business Intelligence Engineer II:
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.
The Business Intelligence Engineer II will be proficient at analytics and critical thinking; leveraging numerous data types to recognize flaws in data, identify trends and patterns, engage with stakeholders across teams to relate to data, identify action items and insights.
They will visualize findings within PowerPoint, Power BI, Excel, SharePoint or other means germane to their audience with insightful, data-driven storytelling, with a strong, efficient ability to create presentations and be comfortable presenting to stakeholders and leadership.
The Business Intelligence Engineer II will be a self-starter with project management skills; proactively engaging across the business to garner data, insights, and more with a systematic design and execution in approach.
The Business Intelligence Engineer II should have strong business acumen, effective written and verbal communication skills, and strong organizational skills. Ideal candidates will be experienced with SQL, PowerBI, Excel, SharePoint, and PowerPoint.
5+ years of technical experience in data analysis
Experience with project management
Demonstrated experience building and presenting story-driven presentations based on analytics
Strong in Microsoft Office Applications Word, Excel, Access, and PowerPoint
In-depth experience in Microsoft Excel including formulas, pivots, charts, graphs, etc.
Demonstrated experience utilizing Power BI
Advanced experience working with big and complex data sets within large organizations
Demonstrated 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
Proven ability to proactively engage across teams and lead projects
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Experience with Consumer Experience and Call Center data and metrics
WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office (Satellite and Wireless Internet service is NOT allowed for this role). A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Bachelor's degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field or equivalent related work experience
1 or more years of experience in SQL, SAS or other data systems
Experience with Power Apps and Power Automate
Experience with data mining and predictive modeling techniques
Ability to use data to drive business outcomes and decisions
Scheduled Weekly Hours