Responsibilities

• Support Predictive Modeling & Advanced Analytics: Assist in building and refining predictive models that forecast customer behaviors such as churn, lifetime value, and purchase propensity. Participate in data preparation, model training, and validation efforts.
• Assist with Marketing Spend Analysis & Optimization: Work on media spend attribution models, help structure data for analysis, and assist in scenario planning for marketing optimization.
• Data-Driven Insights: Support the analysis of large datasets to derive insights about customer segments, behavior patterns, and marketing performance. Contribute to personalizing marketing campaigns through data-driven insights.
• Collaborate Across Teams: Work closely with marketing, sales, and product teams to understand their data needs. Help communicate data insights and recommendations to different stakeholders.

Requirements

• At least two years completed towards your Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• Familiar with programming languages such as Python, R, or SQL, and basic knowledge of data manipulation and visualization tools like Tableau or Looker.
• Interest in predictive modeling, machine learning, and data-driven marketing strategies.
• Strong interest in digital marketing, with a focus on acquisition strategies.
• Familiarity with digital marketing platforms such as Google, Meta or TikTok
• Analytical mindset with the ability to interpret data and draw meaningful conclusions.
• Excellent written and verbal communication skills.
• Creativity and willingness to contribute ideas to marketing campaigns.
• Enrollment in a 4-year undergraduate degree program
• Graduating in Dec 2027 – July 2029 (U.S.)

Benefits

• For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.