Lead Data Analyst

Profile

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

Company info

Humana Inc.
Website : http://www.humana.com