What are the responsibilities and job description for the Senior Personalization Analytics Analyst position at KOHLS?
About the Role
As Senior Personalization Analytics Analyst, you will lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within Marketing. This role focuses on providing analytical and technological support and consultation to key partners within the marketing organization, ranging from the executive level to our strategy teams. In addition, this person may lead the co-development of marketing technologies with our IT teams.
What You’ll Do
Construct and curate datasets for model features
Develop the methodology for model creation, testing, execution, and maintenance
Manage each project and code base in Github
Lead working groups and participate in steering committees with our IT partners
May lead UAT testing
Provide project communications to Marketing leaders
Cultivate meaningful relationships with our business partners
Define analytical and reporting requirements with partners
Respond to most complex inquiries with actionable insights and advice
Deliver technical capabilities to partners
Create dashboards or decks to provide recommendations
Provide high level data driven insights that confirm or refute our partner’s hypothesis
Provide guidance to Marketing leaders on investments in technology
Demonstrate the ROI of technological advancements via proof on concept projects
Additional tasks may be assigned as necessary
What Skills You Have
Required
Bachelor’s Degree in relevant field
Experience coding in general purpose languages, e.g. Java, Python, C
Experience developing, testing, and curating statistical and machine learning models
Experience using traditional RDBMS, e.g. Teradata, MSSQL Server
Experience using cloud offerings, e.g. Azure, AWS, GCP
Experience using software version control, e.g. Github
Experience using any flavor of the Apache Hadoop Framework, e.g. Hortonworks, Cloudera, MapR
A demonstrated ability to establish and maintain strong working relationships and achieve results by working collaboratively with others
Ability to work in a rapidly changing environment while prioritizing and managing multiple tasks
Strong oral and written communication skills, including experience with data visualization technologies such as Jupyter Notebooks, R Shiny, and Tableau
Preferred
Master’s Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field
4 years of relevant Data Science, Applied Mathematics, and/or IT experience