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.
Requirements:
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.