Responsibilities

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.

Requirements

• 4–5 years of experience
• Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, economics, engineering, statistics or science)
• Excellent English communication
• Advanced business acumen
• Advanced statistical and analytical skills
• Advanced Excel and data tool expertise (SAS, R, SPSS, Python, VBA, SQL, Tableau)
• Leads A/B testing initiatives and interprets results for business impact
• Operates independently, leads complex projects, and mentors junior analysts

Preferred

• Experience in digital marketing
• Academic research experience