Lead Analytics Consultant

Wells Fargo

. 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) .

Posted 5/16/2026full-timeSan Francisco • California, North Carolina • 🇺🇸 United StatesSenior💰 $100,000 - $196,000 per yearWebsite

Tech Stack

Tools & technologies

CloudOraclePythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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

Benefits

Comp & perks

Health benefits
401(k) Plan
Paid time off
Disability benefits
Life insurance, critical illness insurance, and accident insurance
Parental leave
Critical caregiving leave
Discounts and savings
Commuter benefits
Tuition reimbursement
Scholarships for dependent children
Adoption reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

analyticsSQLPythondata analysisdata miningdata validationKPI designdata manipulationperformance optimizationautomation

Soft Skills

problem-solvingcommunicationinfluencecollaborationdecision-makingdocumentationclarityanalytical thinkingadaptabilitystakeholder management