American Express · 13 hours ago
Director, Business Banking Analytics
American Express is a global and diverse community committed to supporting its customers and colleagues. The Director, Business Banking Analytics will lead a global team to deploy analytics for driving growth and customer engagement in the Business Banking portfolio, providing data-driven insights that inform product strategies and enhance customer retention.
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Responsibilities
Translate business problems and lead analytical workstreams that inform product strategy, customer growth initiatives, retention, and money movement optimization leveraging advanced analytical techniques including clustering, machine learning, and statistical analysis
Lead strategy and execution for creation of business banking transaction and customer data assets including migration of source data to cloud environment and design of sustainable, optimized data structure
Oversee end to end Business Banking performance reporting, including defining, forecasting, and measuring key performance metrics
Model business impact of banking product features and advise senior leadership on product roadmap decisions
Design, launch, and measure tests to drive product engagement, increasing deposits and primary account usage; Build analytical frameworks for robust measurement when clear A/B testing doesn’t exist
Identify and build behavior-based segmentation to provide insights into customer behavior and drive recommendations for business priorities
Serve as subject matter expert for business banking portfolio performance, leading regular product performance reviews for banking leadership
Manage and prioritize demands for data, ad hoc analytics, and reporting from multiple stakeholders, reallocating resources as necessary to ensure alignment with business priorities
Provide leadership and coaching to a team of high-performing analytics colleagues as well as the analysts and managers on the broader Analytics team in areas such as application of advanced analytical concepts, test design, and effective presentation
Qualification
Required
Relevant professional experience including extensive experience in hands-on analytical role(s) leveraging data to drive decisions, translate operational performance into financial implications, and influencing business strategies
Strong curiosity and initiative in tackling complex business analysis; dives deeply into the data, relentlessly pursues its meaning, and how these insights can drive business performance
Excellent written and verbal communication skills with the ability to explain technical concepts and analytics-driven findings to non-technical stakeholders, and to explain business processes, concepts, and issues to technical resources
Proven track record translating business problems into data strategies and solutions, leading complex, multi-stage analytical workstreams, and advising senior leadership on data-based insights
Good understanding of banking economics and performance drivers with proven success in driving business results via strategic analysis
Team player with proven ability to influence and collaborate with others across all levels of an organization
Proven track record effectively managing priorities across multiple senior level keyholders and influencing stakeholders across all levels of organization
Proven ability to lead and develop team of product analysts, providing leadership and coaching to the team in areas such as application of advanced analytical concepts, sustainable data models, and effective presentation
Experience building sustainable data assets using cloud-based analytical tools, querying languages, and visualization software (e.g., SQL, Python, Databricks, Tableau)
Bachelor's degree preferably in a quantitative field (e.g. statistics, engineering, math, science, economics, etc.)
Preferred
At least 9 years of relevant professional experience in hands-on analytical role(s) leveraging data to drive decisions, translate operational performance into financial implications, and influence business strategies; Financial services experiences is a plus
Advanced degrees preferably in a quantitative field (e.g. statistics, engineering, math, science, economics, etc.)
Expertise in data science and advanced analytical techniques including clustering, machine learning, and statistical analysis
Benefits
Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities
Company
American Express
American Express is a financial services company that provides credit cards, charge cards, payment solutions, and related services.
H1B Sponsorship
American Express has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO
Leadership Team
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