eCommerce Marketing Analyst

Caterpillar•Chicago, IL

1d•Hybrid

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Caterpillar Inc. seeks eCommerce Marketing Analyst at its facility located at 540 W Madison St, 100, Chicago IL 60661.

Requirements

Bachelor’s degree, or foreign equivalent in Computer Science, Mathematics, Economics, Statistics, Integrated Marketing, or in a related field.
1 year experience with data analysis, data science, business intelligence or related performing quantitative and qualitative data analysis.
Experience with Visualization tools such as Tableau or Power BI.
Experience with Data Analysis tools including: SQL and Excel.
Experience with Programming language such as Python, R, or Java.

Responsibilities

Gathering raw marketing data from marketing platforms to creating and maintain marketing performance datasets: paid media, email, onsite, and registration (20%).
Utilize statistical methods and data mining techniques to uncover trends, patterns, and anomalies in marketing data (20%).
Evaluate the effectiveness of digital marketing strategies and initiatives, suggesting improvements based on data analysis (20%).
Mentoring (5%).
Administration, training, email, and so on (5%).
Team Ceremonies/Meetings (10%).
Develop and maintain Marketing KPIs, Dashboards, reports, and visualizations (10%).
Present findings and recommendations to stakeholders in a clear and impactful manner.
Identify partners needs to align and deliver impactful insights to support their goals (5%).
Stay current with Marketing industry trends and emerging technologies to continually enhance data analysis practices (5%).