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Loyalty Data Analyst Intern

Kwik Trip, Inc.
Email

Already a Kwik Trip Coworker?  Follow this link to apply:  myapps.kwiktrip.com 
Location: Department 677 
Shift: Daytime
Experience: None
Pay Range: $14.90 to $20.16 

Actual pay will be based on various factors, such as a candidate’s qualifications, skills, competencies, proficiency for the role, and internal equity. In addition to base pay, Kwik Trip gives 40% of pre-tax profits back to our coworkers with bonuses ranging from 8-12% of each coworker’s gross annual wage depending on company profitability and offers a comprehensive benefits package, including health insurance, 401k, paid time off, and more.

Loyalty Data Analyst Intern - La Crosse, WI:  Kwik Trip is seeking a motivated, data-driven, Marketing intern who will assist with supporting Kwik Trip’s established Kwik Rewards Loyalty program & Customer Relationship initiatives, in both a business and technical capacity.

Primary responsibilities include:

  • Segmentation of audiences for Kwik Trip’s customer-facing digital communications
  • Builds automated and dynamic customer-facing digital campaigns
  • Works closely with Digital Team, Loyalty Team, Marketing Department, and other internal departments to ensure all customer relationship initiative efforts are aligned
  • Assists with the management of Salesforce Marketing Cloud capabilities and data
  • Translates and presents technical information into concise and practical information
  • Automates manual processes and consistently analyze how to improve/streamline current processes

Qualifications:

  • Candidates should be pursuing a degree in Marketing, Computer Science, Information Technology or a related field.
  • Knowledge of data analytics tools, including hands-on experience with SQL, Excel, R, Salesforce Technology Stack, MicroStrategy or comparable Enterprise/Business Intelligence toolsets is preferred.
  • Excellent understanding of Microsoft Office Suite, including skills in creating Excel spreadsheets/graphs while working with large volumes of data.       
  • Prior use of relational databases and query design to organize data to address complex business questions is a plus.
  • Excellent attention to detail and communication skills, both written and verbal; ability to effectively communicate technical concepts to non-technical audiences.            
  • Strong analytical and problem-solving skills focused on data driven results.           
  • Ability to juggle multiple projects and work well under deadlines.
  • Ability to define opportunities and problems, collect and analyze data, establish facts and make valid conclusions.