Responsibilities

• Partner with marketing stakeholders to understand business goals, acquisition strategies, testing roadmaps, and success metrics, translating them into analytic approaches and measurement frameworks.
• Compile and assess data for analysis, extracting relevant insights and implementable solutions for our marketing partners.
• Support experimentation and optimization efforts by helping design measurement approaches, interpreting test results, and recommending next actions.
• Proactively identify opportunities to improve marketing efficiency and provide actionable recommendations.
• Become an expert across marketing channels, customer segments and key markets tracked by Citizens’ Enterprise Marketing team to contextualize business activities and priorities.
• Document and communicate technical/analytic results, insights, and recommendations to both technical and non-technical audiences.
• Collaborate with data scientists and analysts on our team to brainstorm solutions, understand data availability and tools, provide project updates, and share ideas.

Requirements

• 5+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.
• 5+ years of Python experience.
• 3+ years of SQL experience.
• Experience or exposure to data and analytics in Banking and/or Financial Services industry.
• Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to non-technical business partners.
• Strong sense of ownership, relentless curiosity and self-driven approach to problem solving.
• Demonstrated ability to play a leadership role in complex analytical projects.
• Ability to work in a team environment and collaborate with colleagues who have a background in statistics and database development/maintenance.
• Experience in complex experimental designs, marketing mix models and attribution models preferred.
• Bachelor’s Degree in statistics, economics, computer science, engineering or similar quantitative field required; master’s degree preferred.