Responsibilities

• Campaign Performance Analysis: Analyze campaign performance across paid marketing channels (search, social, display, affiliate) and dimensions such as geography, platform, and audience to identify trends, measure effectiveness, and generate actionable insights.
• Growth Marketing Partnership: Partner closely with the Growth Marketing team to analyze media performance, answer key business questions, and provide data-driven recommendations that inform optimization and budget allocation decisions.
• Experimentation & Measurement: Assist in the design, execution, and analysis of marketing experiments, including incrementality testing, platform lift studies, and other measurement initiatives that evaluate growth investments.
• Marketing Data & Reporting: Build and maintain trusted datasets, dashboards, and recurring reporting that provide consistent visibility into marketing performance and acquisition efficiency across paid channels.
• Insights & Recommendations: Translate analyses into clear, actionable recommendations by identifying performance trends, growth opportunities, and areas for further investigation with guidance from senior team members.

Requirements

• Bachelor's degree in Statistics, Economics, Business, Data Science, Marketing, or a related quantitative field.
• 1–2 years of experience as a Business Analyst or in a similar analytical role; relevant internships or project experience will also be considered.
• Experience writing SQL queries or demonstrated ability to quickly develop SQL proficiency.
• Experience with data visualization tools such as Looker, Tableau, or similar business intelligence platforms.
• Exposure to digital marketing, paid media, or performance marketing analytics.
• Strong analytical curiosity and problem-solving skills with the ability to translate data into actionable insights.
• Excellent communication skills, attention to detail, and a collaborative mindset with a willingness to learn, iterate, and receive feedback.
• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.