Data Analyst 2

Profile

Description

The Informaticist 2 coordinates with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs. The Informaticist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

Responsibilities

The Informaticist 2 will work to support Humana Pharmacy performance within the Part D CMS Stars measure space through analytics. The Informaticist 2 leverages its advanced knowledge of data, modeling, optimization, and tools. Applies disciplined analytics to predict behavior and optimize programs to improve patient safety and health outcomes. Utilizes advanced or predictive modeling to develop, test and validate cases that improve the outcomes and quality of the programs we offer. Contributes to more innovative approaches to complex problems. Understands and analyzes complex data, articulates to various units within the company at the appropriate level, impacts the business from mathematical concepts which have a potentially sizeable dollar impact on the business. 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.

Required Qualifications


Bachelor's degree
2-5 years of data analysis experience
At least 2 years of coding experience
Ability to use appropriate problem solving, research and analysis tools
Experience with data mining, predictive modeling techniques and using data to drive business outcomes and decisions
Strong attention to detail
Comprehensive knowledge of all Microsoft Office applications
Excellent written and verbal communication
Must be passionate about contributing to an organization focused on continuously improving consumer experiences


Preferred Qualifications


Advanced Degree
Preferred coding experience in SAS/SQL
Experience with Patient Safety or CMS Stars Measures
Experience in experimental study design
Preferred technologies such as Power BI, QlikView, Tableau, Hadoop or similar tools
Six Sigma certification


Additional Information

# LI-ER1

Scheduled Weekly Hours

40

Company info

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