Level

Wells Fargo

Senior Analytics Consultant

AI in this role

Provide advanced analytics, data mining, and strategic insights to support Wealth and Investment Management at Wells Fargo.

pythonsqlsaspower-bitableauteradata
data-analysisstatistical-analysisdata-governancedatabase-managementbusiness-intelligence

About this role:

Wells Fargo is seeking a seasoned Senior Analytics Consultant to support Wealth and Investment Management (WIM) and related business lines. This role is responsible for complex partner assignments, identifying and defining strategic business issues, and translating data into actionable insights for business and industry decision-making. The consultant will lead and perform advanced analyses, data mining, financial and comparative analysis, and customer/demographic analysis, while ensuring adherence to data management and governance regulation

 

In this role, you will:

Consult with business line and enterprise functions on less complex research

Use functional knowledge to assist in non-model quantitative tools that support strategic decision making

Perform analysis of findings and trends using statistical analysis and document process

Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance

Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency

Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing

Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff

Understand compliance and risk management requirements for supported area

Ensure adherence to data management or data governance regulations and policies

Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals

Collaborate and consult with more experienced consultants and with partners in technology and other business groups

 

Required Qualifications:

4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

 

Desired Qualification:

Bachelor’s degree required; postgraduate degree in Business, Engineering, Economics, or Statistics preferred.

Experience in analytics, reporting, or modeling.

Strong knowledge of complex relational databases (Teradata, DB2, Oracle, MS SQL, etc.).

Proven experience in Data Quality and Data Profiling.

Expertise in programming utilities (SAS/SQL, Python, etc.).

Experience with business intelligence tools (Power BI, Tableau, Report Builder, Power Automate).

Experience in Exploratory Data Analysis (EDA) and predictive assessments using machine learning techniques.

Knowledge of Wealth Management, Banking, Lending and Trust

Experience using AI and Generative AI for process transformation and automation

Experience with iterative development approaches (Agile).

Experience with source control (GitHub).

Experience with issue and project tracking (JIRA).

Experience in MSBI, data modeling.

Work timing 1:30pm to 10:30pm

 

Posting End Date: 

3 Oct 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

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.

How we rate this

Senior Analytics Consultant at Wells Fargo rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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Skills and AI tools this role asks for

Data AnalysisStatistical AnalysisData GovernanceDatabase ManagementBusiness IntelligencePythonSQLSas

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where statistical analysis was part of your work. What did you do?
  3. Tell me about a project where data governance was part of your work. What did you do?
  4. Tell me about a project where database management was part of your work. What did you do?
  5. Tell me about a project where business intelligence was part of your work. What did you do?

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  • List these exact terms on your resume: Data Analysis, Statistical Analysis, Data Governance, Database Management, and Business Intelligence. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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