Kin is redesigning insurance to be smarter, faster, and centered on the customer, addressing gaps in traditional insurance and empowering people to protect what matters most in a world with climate risks, rising costs, and outdated systems.
Requirements
- 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 to move the business forward
- Ability to serve as a bridge between technical teams (e.g. Engineering) and business stakeholders by understanding both system architecture and business objectives
- Background in fintech, insurtech, or other regulated technology industries
Responsibilities
- Designing advanced modeling and analytical frameworks that support marketing efficiency and optimization—such as performance marketing bid models and customer attribution.
- Partnering with the data engineering team to develop data models & integrate new datasets into reporting to support growth marketing
- Partnering with stakeholders in Marketing, Product, and Engineering to define project goals, align on deliverables, and communicate results
- Conducting exploratory analysis to uncover insights, validate hypotheses, and shape strategic decisions to drive growth
- Writing clear, concise memos and presentations that translate technical findings into actionable business insights, especially for non-technical leaders
- Maintaining a bias toward action and communicating assumptions or caveats where needed—helping the business move forward even when data isn't perfect
- Driving your own work forward through structured planning, regular progress updates, and alignment checkpoints with project sponsors
Other
- 3+ years of work experience in analytics, finance, engineering, or equivalent analytical and marketing experience
- Excellent written and verbal communication; able to translate nuanced findings into simple takeaways for a range of audiences
- Strong business intuition and curiosity to go beyond the data—asking why it matters, how it can influence real outcomes, and proactively identifying new analytical opportunities or ideas that align with business strategy
- Experience working in a startup or high-growth environment, with comfort navigating ambiguity and evolving priorities
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance or a related field or equivalent professional experience
