Analytics Director leading a team to deliver data-driven insights for Merchant Services at Wells Fargo. Responsibilities include guiding analytical strategy and overseeing analytics operations.
Responsibilities
Lead, coach, and develop a team of analytics consultants, setting clear expectations, providing ongoing feedback, and supporting career growth
Establish analytical standards and best practices to ensure consistency, accuracy, and impact across all deliverables
Partner with senior business leaders to identify and prioritize analytics needs, translating business questions into a forward‑looking analytics roadmap
Oversee analyses that inform business cases for new products, pricing strategies, and targeted merchant segments
Guide deep‑dive analyses of key KPIs such as conversion, penetration, attrition, and merchant lifecycle performance
Review and synthesize insights on merchant behavior trends (e.g., transaction volume, activation cycle times) and ensure findings are clearly communicated
Ensure statistical rigor in analyses, including identification of meaningful differences in performance by industry, segment, or cohort
Serve as a trusted advisor to leadership by framing insights in a way that drives decisions and action
Support high‑visibility data requests, including audits, regulatory reviews, and executive presentations
Ensure team operations align with established procedures, compliance requirements, and risk management policies
Drive adoption of new tools, technologies, and analytical methods to continuously elevate team capabilities
Requirements
8+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
4+ years of management or leadership experience
8+ years of experience leading end‑to‑end analytical work, including framing problems, conducting analysis, synthesizing insights, and influencing leadership decisions
Prior experience managing or leading analytics professionals, including coaching, mentoring, and performance management
Strong analytical skills with a high attention to detail and data quality
Demonstrated ability to interpret customer and operational data, identify themes, and translate insights into clear business recommendations
Deep understanding of statistical and advanced analytics techniques, including hypothesis testing, regression analysis, and machine learning
Benefits
Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
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