Director of Marketing Analytics

About the Role

Key Responsibilities

• Develop a process and methodology for understanding how the bank's marketing investment drives brand growth, customer acquisition, retention, and relationship deepening across consumer, small business, and commercial segments.
• Employ a consultative approach to providing insights focused on customer, competitive, and market trends to help drive marketing strategy.
• Present insights and analytics to stakeholders and lead efforts to integrate research findings to support marketing, brand, and product decisions, including creating executive-level presentations and data visualizations.
• Partner with internal teams to address complex business questions, conduct analysis, and communicate actionable insights through storytelling.
• Demonstrate expertise with customer data, identify and fill data gaps using internal resources and outside vendors.
• Apply customer and market data to enhance development of customer segments and marketing journeys.
• Leverage qualitative and quantitative primary market research, either in-house or with third-party firms, to inform bank decisions.
• Develop test design strategies to maximize learnings and insights.
• Work with marketing, data teams, and leadership to develop a data strategy that leverages customer and market data to drive revenue, optimize programs, and improve experiences/products.
• Serve as a key influencer of the bank’s marketing technology stack and roadmap, and partner with technology and information systems to implement data requests and system changes.
• Build and maintain dashboards to measure customer growth and marketing performance.
• Extract data and generate reports from tools such as Google Analytics, marketing automation platforms (e.g., Marketo, HubSpot), testing tools (e.g., Optimizely), CRM systems (e.g., MS Dynamics 365), and others.
• Develop prospect and customer targeting criteria using data science techniques and large datasets to improve production, quality, and efficiency.
• Provide thought leadership and oversee execution of prospect and customer targeting for digital and non-digital campaigns (email, direct mail).
• Ensure compliance with internal policies and regulations, and work with on-site equipment and software tools.
• Complete other duties and special projects as requested by management.
• Provide leadership and positive direction for maintaining safety and loss prevention programs, participate in safety initiatives, and support emergency procedures.

Requirements

• Bachelor's Degree in Business, Data Science, Statistics, Finance, Marketing, or related field.
• 8 - 12 years of experience in business and/or marketing analytics or data science.
• Experience with data visualization tools such as Power BI.
• Ability to identify problems, evaluate information, and suggest solutions including innovative approaches.
• Ability to allocate resources effectively and make timely decisions within scope of authority.
• Strong presentation and communication skills, both oral and written.
• Ability to analyze large datasets, develop models or tools, and extract insights.
• Strong SQL skills and experience extracting customer data from databases or data warehouses.
• Exceptional project management skills, capable of managing multiple initiatives under tight deadlines.
• Excellent problem-solving, analytical, and quantitative skills.
• Leadership abilities, positive attitude, and strong people skills.
• Ability to build, analyze, validate, and test marketing tools and models.
• Knowledge of customer data management strategies and platforms.

Nice to Have

• Experience with data science techniques and developing models or tools for marketing.
• Experience with marketing automation platforms such as Marketo or HubSpot.
• Experience with testing tools like Optimizely.
• Familiarity with customer data platforms.
• Experience in developing customer segments and marketing journeys.

Qualifications

• Bachelor's Degree in Business, Data Science, Statistics, Finance, Marketing, or related field.
• 8 - 12 years of relevant experience in analytics or data science.

Benefits & Perks

• Competitive salary.