Data Analyst

McMaster-Carr•Elmhurst, IL

About The Position

We are currently seeking a Data Analyst to help support our company's merchandising efforts by analyzing data and building new systems. Our team works on a variety of initiatives, such as helping to prioritize merchandising opportunities based on existing product sales or analyzing and reporting on publishing workflows to minimize throughput time and rework. What You’ll Do Develop business solutions that align with strategy and represent customer needs understood through data analysis and research Create reports to monitor customer impact and operational progress Write clean and well-documented queries Design and build data pipeline that serve as the basis for rich reporting Conduct analyses of customer behavioral data to draw trends and identify opportunities Evaluate solutions that enable teammates to solve problems not currently supported by existing tools or that influence how our business focuses efforts to maximize customer impact Validate the impact of key metrics on long-term business objectives in a statistically rigorous manner A bachelor’s degree is required for this role.

Requirements

Strong analytical & critical thinking ability
Demonstrated ability and interest in using data to drive business decisions
Proficiency in SQL, Python (including common libraries such as NumPy and Pandas), and Microsoft Office
Experience writing clean and well-documented code
1-2 years of professional experience in related fields such as analytics, data science, or other similar areas
A bachelor’s degree is required for this role.

Nice To Haves

Experience with 1-2 statistical methods used in data analysis, such as decision trees, clustering, A/B analysis, or regression
Bachelor’s degree in Math, Statistics, Computer Science, Engineering, Quantitative Methods (Social Science) or related field
HTML, Javascript, Neo4J

Responsibilities

Develop business solutions that align with strategy and represent customer needs understood through data analysis and research
Create reports to monitor customer impact and operational progress
Write clean and well-documented queries
Design and build data pipeline that serve as the basis for rich reporting
Conduct analyses of customer behavioral data to draw trends and identify opportunities
Evaluate solutions that enable teammates to solve problems not currently supported by existing tools or that influence how our business focuses efforts to maximize customer impact
Validate the impact of key metrics on long-term business objectives in a statistically rigorous manner