VP, Analytics

Role Overview

• Develop and lead program acquisitions strategy: Align with business priorities, develop analytics goals, and be an insights-driven growth strategist for portfolio Senior Leadership like GM & Marketing SVP, as well as external client
• Lead program acquisitions learning agenda and partner with acquisitions marketing team
• Own the full cycle of analytical deliverables – ideation, data mining and analysis, identification of insights and presenting a business story with recommended actions to the stakeholders
• Act as a strategy and analytic consultant for large-scale marketing initiatives, providing guidance and leadership for the design, analysis and measurement phases of the project
• Collaborate with cross functional teams in product, marketing, credit, and IT/operations to provide comprehensive insights into program acquisition tactics
• Groom junior analysts on the team and drive delivery of analytics goals
• Lead and prioritize workload of offshore analysts to ensure high-quality execution and delivery of analytics, measurement, and reporting projects
• Develop a "test and learn" culture and recommend targeting strategies/optimization using advanced analytical tools such as segmentation and other statistical models
• Develop and foster relationships with portfolio senior leadership team, GM, and client partners to become the SME, and review portfolio goals performance periodically and present robust business cases for driving growth
• Act as a trusted advisor to solve complex business problems and provide actionable recommendations based upon data-driven insights
• Implement and automate data visualization tools to measure and diagnose portfolio performance that allow stakeholders to understand trajectory of KPIs to enable better forecasting and management of the portfolio
• Perform other duties and/or special projects as assigned

Requirements

• Bachelor's degree or in lieu of Bachelors degree a high school diploma
• 10+ years of work experience establishing and managing marketing analytics in the financial services, credit card and/or payments industry
• Proven hands-on experience utilizing analytical tools such as SAS, SQL, or open-source tools such as R and Python
• A minimum of 7+ years of work experience to include: 7+ years developing and implementing advanced analytics solutions and decision optimization capabilities to support business decisions
• 5+ years using statistical analysis tools and data warehouse tools
• 4+ years of experience managing large-scale analytic projects spanning research, development and implementation
• 3+ years' experience within the financial services, credit card payments, or retail /Consumer Packaged Goods industry
• 3+ years leading large-scale analytics projects
• 3+ years of client facing experience
• 2+ years of experience managing remotely located teams
• Ability and flexibility to travel for business as required

Tech Stack

• Python
• SQL

Benefits

• flexibility to work from home
• flexibility to come into the office