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marketing analytics r sql python machine learningπ Description
- Develop end-to-end measurement frameworks and attribution models.
- Partner with Brand Marketing, Email, Lifecycle, Demand Gen, and Research to define success metrics.
- Develop and apply statistical and ML models for marketing challenges.
- Build dashboards and reporting tools for brand performance and impact.
- Translate analyses into clear recommendations for marketing leaders.
- Improve data quality, measurement infrastructure, and scalable reporting.
π― Requirements
- 5+ years of experience in Data Science or Marketing Analytics.
- Strong foundation in statistics, experimentation, causal inference, and working with survey or qualitative data.
- Advanced proficiency in SQL and Python, R, or similar tools.
- Proven ability to influence senior non-technical leaders and cross-functional teams by translating complex analyses into clear, actionable recommendations.
- Experience with MMM or MTA methodologies.
- Hands-on experience with marketing data platforms such as Segment, Amplitude, or similar tools.
π Benefits
- Equity and a comprehensive benefits package (health, dental, and vision).
- Retirement with company contribution.
- Parental leave and family planning support.
- Mental health and wellness benefits.
- Generous PTO and recharge days.
- Learning and development stipend, work-from-home stipend, and cell phone reimbursement.
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