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Lead Data Analyst

at Humana in Spokane, Washington, United States

Job Description

Description

The Lead Data Analyst will provide team leadership and development for the HP/HSP Growth Analytics team as well as consultation on analytics and strategy for HP/HSP Growth business partners.

Responsibilities

+ Lead and develop a team of analysts dedicated to HP/HSP Growth (study design, tracking, and evaluation)

+ Applies disciplined analytics to predict behavior and optimize programs and products to maximize revenue growth

+ 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 models through deep business and analytics acumen

+ 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

+ Advises executives to develop functional strategies on various growth and outreach programs

+ Exercises independent judgment and decision making on complex issues regarding job duties and related tasks, and works under minimal supervision, uses independent judgment requiring analysis of variable factors and determining the best course of action

+ Support the development, implementation, and management of numerous visualization tools focused on pharmacy performance and growth trends

Required Qualifications

+ Bachelor’s degree and 8 or more years of technical experience in data analysis OR Master’s degree and 4 years of experience

+ 2 or more years of project leadership experience

+ 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

+ Proven ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs

+ Proficiency in understanding Healthcare related data

+ Proficiency in verbal/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 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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Scheduled Weekly Hours

40

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Job Posting: JC211213389

Posted On: Apr 21, 2022

Updated On: May 20, 2022