Senior Personalization Analytics Analyst (Remote)

Kohl's; Menomonee Falls (WI); On-site; USD 110,000 - 160,000; Full time

Job summary

Kohl's in Menomonee Falls, WI is seeking a Senior Personalization Analytics Analyst to lead the development, testing and curation of statistical and machine learning models; you will support customer strategy within Marketing and provide consultative analytics to executives and strategy teams.

Responsibilities include data pipeline creation, model governance, GitHub code management, and delivering insights and dashboards to guide technology investments and ROI proofs.

Qualifications

• Bachelor’s degree in a relevant field required.
• Proficiency with Java, Python, or C++ for model development.
• Experience building, testing, and deploying statistical and ML models.
• Experience with RDBMS such as Teradata or MSSQL Server and cloud platforms (Azure/AWS/GCP).
• Strong communication and data visualization skills (Jupyter, R Shiny, Tableau).

Responsibilities

• Construct and curate datasets for model features.
• Develop methodology for model creation, testing, execution, and maintenance.
• Manage code bases in Github.
• Lead working groups and steering committees with IT partners.
• Lead UAT testing may be required.
• Provide project communications to Marketing leaders.
• Cultivate relationships with business partners.
• Define analytical and reporting requirements with partners.
• Deliver actionable insights and recommendations.
• Create dashboards or decks to provide recommendations.
• Demonstrate ROI of technology via proof-of-concept projects.

Skills

Java

Python

C++

Education

Bachelor's Degree in relevant field

Master’s Degree or Ph.D in the hard sciences, computer science, engineering or other applicable field

Tools

Github

Teradata

MSSQL Server

Azure

AWS

GCP

Hadoop

Job description

This role is based at our Corporate Office in Menomonee Falls, WI. You’ll work onsite from Monday through Thursday, with the option to work remotely on Fridays.

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

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