Salary
💰 $100,000 - $120,000 per year
Tech Stack
PythonSQLTableau
About the role
- Identify and prioritize analytic problems across the organization and develop actionable solutions
- Design advanced modeling and analytical frameworks to support marketing efficiency and optimization (e.g., performance marketing bid models and customer attribution)
- Partner with the data engineering team to develop data models and integrate new datasets into reporting to support growth marketing
- Partner with stakeholders in Marketing, Product, and Engineering to define project goals, align on deliverables, and communicate results
- Conduct exploratory analysis to uncover insights, validate hypotheses, and shape strategic decisions to drive growth
- Write clear, concise memos and presentations translating technical findings into actionable business insights
- Maintain a bias toward action and communicate assumptions or caveats to help the business move forward
- Drive work through structured planning, regular progress updates, and alignment checkpoints with project sponsors
- Mentor junior analysts and share analytical best practices with peers
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance or a related field or equivalent professional experience
- 3+ years of work experience in analytics, finance, engineering, or equivalent analytical and marketing experience
- Prior experience in marketing analytics with a solid understanding of bid optimization, attribution, and performance marketing
- Experience working with modern data solutions (EX: Looker/Tableau/Power BI/DataBricks/FiveTran)
- Proficient in SQL and Python for data analysis and transformation
- Strong critical thinking and problem-solving skills, with a track record of independently leading complex projects from scoping to delivery
- Demonstrated comfort operating in ambiguity, making assumptions explicit, and taking thoughtful risks
- Excellent written and verbal communication; able to translate nuanced findings into simple takeaways for a range of audiences
- Ability to serve as a bridge between technical teams (e.g. Engineering) and business stakeholders by understanding both system architecture and business objectives
- Strong business intuition and curiosity to proactively identify analytical opportunities
- Experience working in a startup or high-growth environment
- Background in fintech, insurtech, or other regulated technology industries
- Must be able to live and work full-time in one of the listed U.S. states and be authorized to work in the U.S.