Senior Analytic Consultant
Skills
About the role
About this role:
Wells Fargo is seeking a Senior Analytics Consultant
The Senior Analytics Consultant role is focused on driving AI-enabled analytics, customer experience insights, and integrated data solutions for Commercial Banking. The role requires a strong ability to translate business objectives into scalable analytics solutions, combining structured and unstructured data to generate actionable client and employee insights.
This position will lead the design and delivery of Client experience and Integrated Insights capabilities, enabling executives, product leaders, and business stakeholders to make confident, data-driven decisions. The role demands end-to-end ownership of analytics initiatives, stakeholder engagement across global teams, and the ability to deliver scalable, sustainable, and impact-driven solutions aligned to business priorities
In this role, you will:
Consult, review and research moderately complex business, operational, and technical challenges that require an in-depth evaluation of variable data factors
Perform moderately complex data analysis to support and drive strategic initiatives and business needs
Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities for engineering enhancements
Lead or participate on large cross group projects
Mentor less experienced staff
Collaborate and consult with peers, colleagues, external contractors, and mid-level managers to resolve issues and achieve goals
Leverage a solid understanding of compliance and risk management requirements for supported area
Required Qualifications:
4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Key Responsibilities:
Deliver actionable client and employee insights, enabling executives and business leaders to make informed, data-driven decisions
Design and implement Customer Listening and Integrated Insights frameworks for Commercial Banking using a scalable and phased approach
Integrate and analyze data from multiple experience and operational data sources (VOC, complaints, operational metrics, etc.) to generate meaningful insights
Collaborate with global stakeholders to translate business needs into analytics solutions, dashboards, and insight narratives
Develop AI/ML-driven analytics, advanced reporting, and data visualization solutions to enhance decision-making
Work with large, complex datasets (structured and unstructured) to perform deep-dive analysis and trend identification
Build and maintain dashboards, reports, and automated pipelines using BI and analytics tools
Recommend and leverage relevant data sources across enterprise systems to enrich insights
Ensure adherence to data governance, data quality, and regulatory standards
Translate analytical outputs into clear, business-friendly storytelling for senior stakeholders
Collaborate across teams to drive continuous improvement, innovation, and operational excellence
Manage multiple priorities, stakeholder expectations, and deliverables in a fast-paced environment. Ensures adherence to data management/data governance regulations and policies
Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compare to industry perspective
Ability to work overlap hours with US team
Shift 1:30-10:30 pm
Essential Qualifications:
The ideal candidate brings strong analytics expertise combined with business understanding and stakeholder management capabilities:
4+ years of experience in AI led analytics, reporting, or data-driven roles, or a degree in a quantitative field such as statistics, engineering, economics, or computer science
Hands-on experience in Python, SAS, SQL, and BI tools (Tableau / Power BI / SSRS) for analytics and data visualization
Experience working with large datasets across multiple platforms (Oracle, SQL Server, Teradata, etc.)
Strong understanding of data pipelines, ETL processes (Alteryx, SSIS), and data lifecycle management
Ability to translate business requirements into analytical solutions and actionable insights
Strong data interpretation, storytelling, and presentation skills
Experience working in cross-functional and global team environments
High ownership mindset with the ability to manage multiple priorities and deliver under tight timelines
Strong problem-solving ability, intellectual curiosity, and ability to quickly learn and adapt
Willingness/ability to take ownership of a project
Exceptionally fast learner, able to reach non-trivial SME level under tight deadlines
High energy, can-do attitude, self-directed, pro-active, self-starter who excels in an environment with limited supervision
Assist in managing multiple complex exercises in various stages simultaneously
Assist in managing internal customer expectations while adhering to internal SLA timeframes
Assist in integrating multiple viewpoints and synthesize key messages
Desired Qualifications:
Preferred qualifications that enhance effectiveness in this role include:
Experience in AI/ML led Analytics, Gen AI, statistical analysis and advanced analytics,
Exposure to Python, or modern analytics ecosystems
Experience in Customer Experience (CX), Voice of Customer (VOC), or complaints analytics
Prior experience in financial services, particularly Commercial Banking
Understanding of Commercial Banking products, processes, and platforms
Familiarity with GenAI use cases, automation frameworks, and emerging analytics capabilities
Understanding Wells Fargo Commercial Banking products, systems, and platforms
Job Expectations:
This role expects a proactive, collaborative, and high-impact professional who can thrive in a global environment:
Ability to adapt to evolving business needs and priorities
Good team player
Strong collaboration across cross-cultural and global teams
Comfortable working in virtual environments and remote stakeholder engagement
Demonstrate operational excellence and continuous improvement mindset
Strong relationship management and stakeholder engagement skills
Excellent communication and presentation skills, including CXO-level interactions
Ability to work in overlap hours with US teams
Drive a culture of innovation, accountability, and data-driven decision-making
Posting End Date:
25 Jun 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
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