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Job Details

Sr. Wellness Marketing Campaign Intelligence Engineer - Louisville KY or WAH

Location
Fargo, ND, United States

Posted on
Jul 26, 2021

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Profile

Description

The Sr. Wellness Marketing Campaign Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Sr. Wellness Marketing Campaign Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Sr. Wellness Marketing Campaign Intelligence Engineer 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.

Required Qualifications


Bachelor's degree
5 years of technical experience in data analysis
Comprehensive knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
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


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


Additional Information

This position is open to working remote

Scheduled Weekly Hours

40

Company info

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