Related skills
data warehouse sql python marketing attribution causal inference📋 Description
- Set GTM analytical strategy and roadmap across the customer lifecycle.
- Operate as player coach, stay technical, model rigorous GTM analytics.
- Coach the team on analyses, methods, causation, and storytelling.
- Own GTM measurement using rigorous causal methods.
- Develop churn risk, health scoring, and expansion models.
- Lead multi-touch attribution and incrementality for pipeline.
🎯 Requirements
- 7+ years in data science/quantitative research, with at least 2 years managing a team.
- Hands-on SQL, Python, and data warehouse experience; you can write and review code.
- Experience applying analytics to GTM problems: churn, propensity, attribution, forecasting.
- Experience with causal inference methods (DiD, synthetic control) in GTM.
- Deep experience with experimental design and A/B testing in marketing or sales.
- Strong track record influencing GTM strategy with data-driven leadership.
🎁 Benefits
- Global, remote-friendly workforce.
- Equal Opportunity and Affirmative Action employer; non-discrimination.
- Applicants with disabilities may request accommodation during application/interview process.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!