Responsibilities

• Lead the development and refinement of targeted audience segments using internal and external data
• Identify high-value audience opportunities for Business Banking customers seeking Property and Casualty insurance
• Define targeting strategies that improve audience selection, testing, and campaign performance
• Measure marketing performance end-to-end, including impact, conversion, response, and incrementality
• Generate insights that inform campaign actions, prioritization, and optimization recommendations
• Partner with marketing, insurance, analytics, and technology teams to shape delivery plans and manage the book of work
• Drive discovery, research, and analysis to support new data prototypes and strategic initiatives
• Align data assets, definitions, and measurement approaches across Data and Analytics partners
• Build and secure critical data assets needed for targeting execution and comprehensive analytics
• Leverage cloud-based analytics platforms to improve decision-making and operational efficiency

Requirements

• Bachelor's degree with 5+ years of relevant experience
• 3+ years of experience in marketing targeting and analytics
• 3+ years of Property and Casualty Insurance analytics experience
• Expertise using Python and SQL for advanced analytics
• Competence leveraging dimensional modeling and star schema concepts
• Experience driving measurement and insights, including financial impact, segmentation, targeting, conversion, response, and incrementality
• Demonstrated ability to translate business strategy into analytics roadmaps, campaign actions, and experimentation plans
• Experience working with cloud and data platforms (AWS, Google Cloud Platform, or Microsoft Azure) and modern data warehousing concepts
• Hands-on experience with data wrangling, extract-transform-load processes, and data quality controls
• Strong communication skills with the ability to translate complex analyses into executive-ready narratives and recommendations

Preferred

• Master's degree in a related field
• Experience supporting insurance marketing analytics for small business customer segments
• Experience in actuarial or insurance analytics domains such as pricing or reserving
• Experience with Snowflake, Databricks, or similar modern data platforms
• Experience using analytics automation and developer productivity tools (for example, GitHub Copilot)
• Experience applying modern generative AI methods in analytics workflows (prompting, structured outputs, basic evaluation, and guardrails)

Benefits

• comprehensive health care coverage
• on-site health and wellness centers
• a retirement savings plan
• backup childcare
• tuition reimbursement
• mental health support
• financial coaching and more