Job Description
The role involves analyzing marketing data to inform strategy, developing predictive models, and leveraging AI and advanced analytics to optimize marketing efforts and automate processes within a high-growth technology company.
Key Responsibilities
- Conduct detailed data analysis to inform marketing strategy and optimize channel mix
- Design and evaluate marketing experiments to measure impact and support budget decisions
- Support development and refinement of marketing attribution models and measurement frameworks
- Collaborate with cross-functional teams to leverage AI and advanced analytics for marketing insights and automation
- Translate analysis results into actionable business decisions to improve marketing effectiveness
Requirements
- Bachelor's degree or higher in Statistics, Computer Science, Math, Machine Learning, Economics or other related quantitative fields.
- At least 5 years of relevant data science or advanced analytics work experience.
- At least 5 years of experience building advanced analytical models and analysis to inform strategy.
- Advanced knowledge of marketing measurement attribution, marketing mix modeling, lift studies, and direct experience working in marketing and supporting marketing strategy through detailed analysis.
- Experience conducting and designing large-scale experimentation processes from end-to-end, executing incremental studies, and translating results into actionable business decisions.
- Expertise in Tableau and/or similar platforms for data visualization.
- Hands-on coding experience with Python, R, and SQL.
- Interest in applying emerging AI and machine learning techniques to enhance marketing analytics, automation, and decision-making.
- Strong problem-solving, stakeholder management, critical thinking, and communication abilities.
- Ability to manage multiple projects simultaneously in a fast-paced business environment.
- Strong innovative mindset comfortable with solving nebulous problems end-to-end.
- Experience working with cutting-edge LLM tools, web scraping, third-party data providers, or AI-driven automation (preferred).
- Experience analyzing B2B marketing strategies, channels, and lifecycle to identify opportunities and optimization areas (preferred).
- Familiarity with web analytics, tracking platforms, CRM tools, and cloud-based data pipelines (preferred).
- Ability to work in an exploratory environment, testing and iterating on new data sources and methodologies.
Benefits & Perks
Annual Base Salary: $119,000 - $180,000 USD
Performance-based bonus variable pay
Equity with no vesting cliff and ongoing refresh opportunities
Flexible, employee-led remote work model
Professional development stipend
Comprehensive health plans
Parental leave plans
Ready to Apply?
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