Brex is looking to optimize its marketing strategy and maximize ROI from marketing investments by developing analytical frameworks and statistical models for account-based marketing, mixed media modeling, and multi-touch attribution.
Requirements
- Strong experience with SQL and Python (or R) for data analysis and modeling.
- Proficiency in advanced marketing measurement techniques, including MMM, multi-touch attribution, and customer segmentation.
- Familiarity with digital marketing data, modern marketing platforms (e.g., Salesforce, Marketo, HubSpot), and common paid, owned, and earned channels.
- Experience with experimentation, A/B testing, and causal inference methodologies.
- Familiarity with customer journey analytics, advanced personalization, or recommendation systems (bonus point).
- Experience working with marketing automation, CRM, and data integration tools (bonus point).
- Knowledge of adtech, martech, and data privacy best practices (bonus point).
Responsibilities
- Develop analytical frameworks and statistical models for account-based marketing, mixed media modeling, and multi-touch attribution across marketing channels.
- Analyze campaign performance, channel effectiveness, and customer lifecycle touchpoints to drive strategy adjustments to maximize marketing ROI.
- Collaborate with Marketing, Sales, and Data Science teams to design, implement, and evaluate experiments (A/B tests, incrementality studies) that inform marketing investment and customer journey optimization.
- Build and maintain scalable data pipelines and reporting to support ongoing measurement, attribution, and experimentation.
- Synthesize large, complex data sets into clear business recommendations; communicate actionable insights to both technical and non-technical stakeholders.
Other
- Master’s degree or Ph.D. in Statistics, Economics, Marketing Analytics, Computer Science, or a related quantitative field.
- 3+ years of experience in marketing analytics, marketing data science, or related roles supporting B2B or SaaS marketing organizations.
- Ability to synthesize complex analyses into actionable business insights and communicate findings to stakeholders.
- Must be willing to work in office at least 2 days per week on Wednesday and Thursday.
- Employees will be able to work remotely for up to 4 weeks per year.
