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

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