Business Analytics Lead Analyst, VP

Responsibilities

• Manage retail client relationships and drive sales growth and profitability by providing cutting-edge statistical solutions.
• Develop innovative growth opportunities through ECM marketing optimization, including partner-facing reviews of opportunities and program performance on a weekly basis.
• Provide insights and deep dives on opportunities and challenges to ensure ongoing investment from partners into the credit program.
• Implement step-change programs to identify opportunities leading to a roadmap that drives multi-fold growth on revenue.
• Interface with multiple stakeholders from Marketing, Partner Management, Risk, Finance, and Technology, including retail clients.
• Develop and implement analytics to drive business growth and deliver on financial commitments.
• Build and lead a team of onshore/offshore analysts to drive sales and lending marketing programs.
• Lead the development of full suite of analytical tools to identify growth recommendations for credit card programs with a prioritization engine to identify and execute projects.
• Collaborate and influence retail partners to implement strategies capitalizing on opportunities identified through analytical insights.
• Lead test agendas to continuously learn and drive innovations; build strong cross-functional working relationships.
• Be accountable for audit and control requirements; understand regulatory implications and develop mitigation/opportunity strategies.

Qualifications

• 6-10 years of Financial Services experience, with a deep expertise in the Wealth business, sales force management, and data analysis; strong project management skills to lead large cross-functional initiatives.
• Bachelor’s Degree Required/Graduate Degree Preferred – in the areas of quantitative fields such as Statistics, Finance, Economics, or Behavioral Sciences.
• Outstanding interpersonal relationship building skills and ability to communicate complex subjects in concise, simple language; exhibit exceptional influencing skills to drive alignment and successful outcomes.
• Highly intuitive financial acumen, deep analytical expertise in statistical modeling with a focus on innovation using big data/machine learning and data-driven analysis.
• Problem-solving skills with a passion to drive analytical innovation.