Sr. Business Intelligence Analyst

Humana Inc.
Dover, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Dover, United States of America

Tech stack

Microsoft Access
Microsoft Word
Microsoft Excel
Business Analytics Applications
Data analysis
Azure
Data Files
Data Mining
Data Systems
Data Visualization
Python
Microsoft Office
Microsoft PowerPoint
Raw Data
SAS (Software)
SQL Databases
Tableau
PySpark
Information Technology
QlikView

Job description

The Senior Business Intelligence Analyst solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Analyst work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors., The Senior Business Intelligence Analyst 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. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Requirements

Bachelor's degree and 5 or more years of technical experience in data analysis OR Master's degree and 3 or more years of experience

Comprehensive knowledge of Microsoft Azure, Microsoft Office Applications including Word, Excel, Access, and PowerPoint

Advanced in SQL, SAS, Python, PySpark, and other data systems

Advanced experience working with big and complex data sets within large organizations

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

Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field

Advanced in SQL, SAS, PySpark and other data systems

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

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