Staff Marketing Data Analyst
Staff Marketing Data Analyst serving as a strategic analytics partner to Marketing, leading acquisition measurement, attribution, experimentation, and ROI analysis. Requires 7+ years of analytics experience, a quantitative master’s degree, advanced SQL, and Python proficiency.
About the job
Responsibilities
- Partner with Marketing, Product, and other teams to improve marketing data quality and align measurement requirements.
- Lead deep-dive analyses to optimize customer acquisition, channel performance, campaign effectiveness, and marketing investment.
- Own and advance multi-touch attribution (MTA), marketing mix modeling (MMM), and other approaches for evaluating marketing ROI.
- Design and scale experimentation, including A/B tests and incrementality studies.
- Define, monitor, and interpret marketing KPIs such as customer acquisition cost (CAC), lifetime value (LTV), and campaign ROI.
- Advise Marketing leaders by translating analytical findings into recommendations and business actions.
- Share best practices, improve measurement standards, and coach peers on marketing analytics methods.
Requirements
- 7+ years of experience in marketing analytics, growth analytics, data analytics, or a related quantitative field.
- 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.
- Strong understanding of marketing data, measurement, experimentation, and performance analysis.
- Experience with paid media and customer acquisition channels.
- Knowledge of mobile app marketing analytics and mobile measurement partners (MMPs); AppsFlyer and SSOT experience strongly preferred.
- Strong communication, collaboration, and stakeholder management skills.
- Familiarity with modern data platforms and analytics workflows such as Snowflake, AWS, and dbt.
Compensation and Benefits
- Base salary: $200,000–$230,000, with potential bonus and equity eligibility.
- Company-paid medical, dental, and vision coverage for employees and dependents from the first day.
- Fitness reimbursement or complimentary LifeTime Fitness or Equinox membership.
- 401(k) with a 3.5% company match and immediate vesting.
- Meal program, pre-tax benefits including a $1,000 HSA match, life and accidental insurance, disability insurance, and flexible PTO.
- Employees are generally expected to work in the office five days per week, with flexibility for occasional remote work or adjusted schedules.
Skills
SQL, Python, Sigma, Tableau, Looker, Multi-Touch Attribution, Marketing Mix Modeling, A/B Testing, Appsflyer, Snowflake, AWS, dbt
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