Lead Analytics Consultant

Wells Fargo•Charlotte, NC

1d•$100,000 - $196,000•Hybrid

About The Position

Our Digital Data & AI organization (DDAI) within Consumer Banking & Lending (CBL) is hiring a Lead Analytics Consultant to join its Channel Strategy & Analytics Team. This team is a critical enabler of data-driven decisioning across high-impact initiatives including mobile adoption, identity, and digital customer experience. As demand accelerates and problem complexity increases, we require senior-level analytics capacity that can operate independently in ambiguous environments and directly influence product and strategy outcomes. This Lead Analytics Consultant role is essential to: 1) Own end-to-end analytics delivery across priority digital initiatives, reducing dependency bottlenecks and improving speed-to-insight 2)Translate complex, ambiguous business problems into actionable insights, enabling faster and more confident executive decision-making 3)Drive standardization and scalability of metrics, data assets, and analytics practices to improve efficiency and consistency across teams 4)Strengthen cross-functional alignment with product, data, and risk partners to close data gaps and accelerate execution. Learn more about the career areas and lines of business at wellsfargojobs.com.

Requirements

5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of analytics experience in the financial services or technology industry
Demonstrated expertise in advanced SQL, including complex querying, large-scale dataset manipulation, and performance optimization
Demonstrated experience using Python for data analysis and automation

Nice To Haves

Proven ability to solve complex and ambiguous business problems using data-driven approaches
Demonstrated ability to translate complex data into clear, concise, and actionable insights for business decision-making
Master’s degree preferred in Computer Science, Statistics, Applied Math, Engineering, or related quantitative field (top-tier or highly credible programs preferred)
Experience with enterprise data platforms (e.g., Google Cloud, Teradata, Oracle)
Experience with BI and visualization tools (Tableau, Power BI) for executive reporting
Strong understanding of digital analytics concepts (funnels, cohorts, segmentation, KPI design)
Ability to influence partners and stakeholders in a matrixed, cross-functional environment

Responsibilities

Lead end-to-end analytics across key digital initiatives, including: Mobile adoption, engagement, and feature usage, Authentication and identity journeys (login, biometrics, step-up, recovery) Transaction migration and channel behavior analysis Digital product performance and customer experience optimization Analytics re-imagine (standardized metrics, scalable data assets, automation)
Translate complex business problems into structured analysis: Define success metrics and KPIs Build and validate analytical datasets Conduct exploratory and investigative data mining Deliver insights that clearly inform decisions Deliver scalable, reusable analytics solutions that improve efficiency and consistency across teams.
Partner closely with product, data engineering, finance, and fraud teams to: Align on definitions and measurement frameworks Close data gaps and unblock dependencies Drive adoption of insights into product and strategy decisions
Ensure rigor and accuracy through: Strong data validation and quality checks Clear documentation of logic, assumptions, and methodology Adherence to risk, compliance, and governance standards
Communicate findings with executive-level clarity: Translate complex analyses into concise narratives Highlight “so what” and recommended actions Influence decision-making at senior levels