Quince · Posted 1d ago
Senior Data Analyst (Growth Marketing)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇺🇸 Palo Alto, United States
- Contract
- Full-time
- Role
- Analytics & BI
- Source
- Stapply Data
Stack
- SQL
- Python
The posting
Join Quince as a Senior Data Analyst, Growth Marketing. In this role, you will own marketing analytics across growth channels, build measurement frameworks, and partner closely with marketing leadership to surface insights and run experiments. You will become the go-to expert on growth data across the Quince platform.
- Own marketing attribution modeling and measurement frameworks across growth channels (search, social, etc.) and design, execute, and analyze incrementality tests (A/B tests). - Build and maintain daily, weekly, and monthly performance dashboards for the growth marketing team and Quince leadership; ensure data quality and reporting accuracy through automated monitoring. - Partner with marketing leadership to translate data into actionable channel and budget recommendations, including deep dive analysis to uncover growth opportunities and performance drivers.
- Hands-on experience building marketing attribution models and designing incrementality tests - 5+ years relevant experience in data analytics or data science, preferably with a focus on growth marketing, ecommerce, or performance marketing - Experience with marketing mix modeling (MMM) - Strong proficiency with AI tools to increase productivity and surface data and insights - Experience with app measurement and mobile attribution - Strong personal work ethic, including personal initiative and ownership - Familiarity with major media platforms and their measurement ecosystems (e.g. Meta, Google, TikTok) - Proven track record of independently scoping and delivering complex analyses with measurable business impact - Bachelor’s degree in a quantitative discipline (e.g. Economics, Mathematics, Statistics, Engineering, Physics) - Ability to prioritize and deliver across multiple threads of work in a fast paced environment - Excellent written and oral communication, including the ability to communicate across business areas and with leadership - Strong proficiency in SQL; proficiency in Python for data manipulation, modeling and analysis