Measurement Analyst

KOHLS•Menomonee Falls, WI

3d•Hybrid

About The Position

In this role, you will analyze and report on Kohl's marketing campaign strategies and tactics by customer, product and channel. You will use a consultative approach, working with Marketing strategy teams to define campaign test objectives, determine proper test design to ensure measurability, clearly define actionable KPIs and generate campaign insights.

Requirements

Bachelor's Degree in Data Science, Business, Statistics, Computer Science, Management Information Systems or other related field
2+ years of experience working on an analytics team performing statistical analysis and/or data modeling
Proficient with SQL
Experience with Python or R
Experience working with data visualization tools (e.g., Tableau, PowerBI)
Understanding of sound data visualization practices
Experience working with inferential statistical methods such as t-tests, ANOVAs, Chi-Sq
Experience with appropriate measurement methods across online and offline channels

Nice To Haves

Experience conducting A/B testing
Advanced Degree in Data Science, Data Analytics or similar
Experience with supervised and unsupervised machine learning models

Responsibilities

Work with strategy teams to define campaign test objectives
Ensure that all campaigns have defined and measurable KPIs
Generate campaign insights and evaluate marketing effectiveness to inform key decision-makers and strategic initiatives
Provide insights gathered from multiple data sources and translate insights into a compelling story to inform senior leadership
Use high-level data modeling techniques to perform analysis
Create testing recaps and prepare visualizations based on recommendations
Develop and implement process improvements and identify ways to automate and provide self-serve capabilities to marketing partners through standardization and process improvement
Work with Marketing Technology and IT to provide business requirements for standardization, automation and better data
Leverage GCP BigQuery environment and data science tools (i.e. SQL, Python, or R) to develop and improve upon core statistical testing code
Work in a matrixed organization with multiple stakeholders
Additional tasks may be assigned