eCommerce Marketing Analyst

Caterpillar Inc.Chicago, IL
Hybrid

About The Position

Caterpillar Inc. seeks an eCommerce Marketing Analyst to join their team. This role involves gathering raw marketing data from various platforms, creating and maintaining performance datasets, utilizing statistical methods for data analysis, evaluating digital marketing strategies, and developing KPIs and dashboards. The analyst will also present findings to stakeholders, identify partner needs, and stay current with industry trends. The position is located at 540 W Madison St, 100, Chicago IL 60661, with the option for telecommuting three days a week.

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%).

Benefits

  • Medical, dental, and vision benefits
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)
  • 401(k) savings plans
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSAs)
  • Health Lifestyle Programs
  • Employee Assistance Program
  • Voluntary Benefits and Employee Discounts
  • Career Development
  • Incentive bonus
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement
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