Senior Data Analyst, Global Scaled Growth

The Global Scaled Growth team drives data-informed strategies to accelerate advertisers' growth, improve lifecycle performance, and unlock scalable business opportunities across global markets. We partner closely with cross-functional teams, including Growth, Product, Marketing, Operations, and Engineering, to identify growth levers, measure business impact, and enable strategic decision-making through data.

Responsibilities:

• Partner with stakeholders across Growth, Product, Marketing, and Operations to define key business questions and deliver actionable insights.
• Analyze large-scale advertisers, products, and campaign data to identify trends, growth opportunities, and performance drivers across global markets.
• Design, build, and maintain dashboards, reports, and KPI frameworks to monitor business health and track strategic initiatives.
• Develop analytical frameworks to evaluate advertisers' acquisition, retention, engagement, monetization, and lifecycle performance.
• Conduct deep-dive analyses, funnel diagnostics, cohort analyses, and experiment readouts to support growth decision-making.
• Collaborate with data engineering and product teams to improve data quality, instrumentation, and data accessibility.
• Translate complex analysis into clear business recommendations for senior leadership and cross-functional partners.
• Support forecasting, target setting, and opportunity sizing for scaled growth programs.
• Proactively identify areas for optimization and influence product and business strategy with data-driven recommendations.

Minimum Qualifications:

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• 5+ years of experience in data analytics, business analytics, or a related role.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Experience with data visualization tools such as Tableau, Looker, Power BI, or similar platforms.
• Strong analytical thinking and problem-solving skills with the ability to translate data into business insights.
• Experience partnering with cross-functional stakeholders and communicating findings to both technical and non-technical audiences.
• Solid understanding of experimentation, A/B testing, funnel analysis, cohort analysis, and KPI design.

Preferred Qualifications:

• Experience in growth analytics, consumer internet, technology, or digital product environments.
• Proficiency in Python or R for advanced analytics, modeling, or automation.
• Experience working with global products and multi-market growth strategies.
• Familiarity with lifecycle marketing, performance marketing, user segmentation, and attribution analysis.
• Ability to thrive in a fast-paced, highly collaborative environment.