Staff Marketing Data Analyst
New York, New York, United StatesAll locationsNew York, New York, United StatesPhiladelphia, Pennsylvania, United StatesSan Francisco, California, United StatesPlymouth Meeting, Pennsylvania, USA On-site
$200,000–$230,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
As a Staff Marketing Data Analyst, you will serve as the dedicated analytics partner to Marketing, using data, measurement, and experimentation to improve customer acquisition, marketing efficiency, and business growth. You will independently own complex analyses and measurement frameworks, translate data into actionable recommendations, and help Marketing leaders understand what is working, why it is working, and where to invest next. The successful candidate will combine deep marketing analytics expertise, analytical rigor, and strong business judgment with the ability to influence senior stakeholders and drive decisions without direct people-management responsibility.
What you'll bring
- 7+ years of experience in marketing analytics, growth analytics, data analytics, or a related quantitative field, with demonstrated ownership of complex analytical work.
- Master's degree in Analytics, Marketing, Economics, Statistics, Mathematics, Computer Science, or a similar quantitative field.
- Advanced SQL skills and proficiency in Python or a similar analytical programming language.
- Experience with BI and data visualization tools such as Sigma, Tableau, Looker or similar platforms.
- Deep understanding of marketing data, measurement, experimentation, and performance analysis, with demonstrated ability to independently translate insights into business action.
- Experience with paid media and acquisition channels, including channel performance metrics and measurement approaches.
- Hands-on knowledge of mobile app marketing analytics and MMPs,
- Excellent communication, collaboration, and stakeholder management skills, with the ability to influence senior Marketing partners and drive decisions through data without formal authority.
- Familiarity with modern data platforms and analytics workflows, such as Snowflake, AWS, dbt, or similar technologies.
- AppsFlyer and SSOT experience strongly preferred.