The organization is looking to solve the problem of making life insurance more accessible and convenient for families by leveraging deep technology and data science to streamline the life insurance process.
Requirements
- 7+ years of experience in business intelligence or analytics in roles at well-established firms or high-growth tech startups
- 4+ years of experience building and maintaining BI reporting in a tool like Tableau or Mode on a regular basis
- 4+ years of experience working with SQL on a regular basis
- 3+ years of experience in data analysis, data science, business intelligence, or similar roles
- 2+ years of experience working directly or indirectly in channel optimization
- Foundational understanding of data architecture and data best practices
- Experience building API integrations and managing data pipelines
- Experience working with Python to generate business insights and drive better organizational decision making
Responsibilities
- Communicate findings and insights to key stakeholders and influence channel managers to take action based on recommendations
- Develop easy-to-consume dashboards and frameworks to monitor and visualize KPIs
- Identify opportunities to empower the marketing team with data and tools to improve performance, reduce pain points, and promote better decision making
- Data modeling and developing/maintaining core ETL pipelines and tables
- Run incremental lift (i.e. field) experiments for upper funnel channels
- Build and maintain marketing signals in dbt
Other
- 7+ years of experience in business intelligence or analytics
- 4+ years of experience in roles at well-established firms or high-growth tech startups
- Bachelor's degree or higher in a related field (not explicitly mentioned but implied)
- Ability to communicate findings and insights to key stakeholders
- Experience working in a multicultural world and understanding of diversity and inclusion
