Senior Analytics Consultant – Incentive Compensation

Wells Fargo Bank

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profile Job Location:

Charlotte, VT - USA

profile Monthly Salary: $ 77000 - 133000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

About this Role

Wells Fargo is seeking a Senior Analytics Consultant to join the Incentive Compensation Center of Excellence (IC COE) team. This is an exciting opportunity for an experienced data analytics professional to contribute to automation monitoring and process enhancement efforts that support incentive compensation administration. Learn more about our career areas and lines of business at .

Key Responsibilities

  • Consult on and analyze moderately complex business operational and technical challenges using variable data inputs.
  • Perform data analysis to support strategic initiatives and business needs.
  • Develop a deep understanding of technical systems and business processes to extract insights and identify opportunities for engineering enhancements.
  • Lead or contribute to large cross-functional projects.
  • Mentor junior team members and provide guidance on analytics best practices.
  • Collaborate with peers external contractors and mid-level managers to resolve issues and achieve goals.
  • Ensure compliance with risk management and regulatory requirements in all supported areas.
  • Balance short-term ad hoc requests with long-term strategic projects (e.g. 6-month initiatives).
  • Partner with Technology IC COE and Finance teams to deliver impactful solutions.

Required Qualifications:

  • 4 years of analytics experience demonstrated through work experience training military service or education.

Desired Qualifications:

  • 4 years of experience in data modeling including integrating multiple data sources into clear and actionable models.
  • 2 years of experience with programming tools such as Python R SAS SQL VBA or similar.
  • Experience leading projects in an analytics development environment.
  • Familiarity with the Wealth & Investment Management (WIM) business line is a plus.
  • Strong ability to manage multiple tasks under tight deadlines quickly grasp complex business issues and drive results with urgency.
  • Experience building reports and automating processes to improve team efficiency.
  • Strong database knowledge and ability to write SQL queries.
  • Proficiency with BI tools such as Tableau or Power BI.
  • Experience with agentic AI modeling or other advanced coding techniques is a plus.
  • Incentive compensation experience is highly preferred.
  • Willingness to learn WIM-specific processes and systems.
  • Ability to identify trends respond to immediate needs and contribute to long-term strategic solutions.

Job Expectations:

  • This position offers a hybrid schedule
  • Relocation assistance is not available for this position
  • This position is not eligible for Visa sponsorship

Posting Locations:

  • Charlotte NC
  • Minneapolis MN
  • San Antonio TX
  • Irving TX
  • Des Moines IA
  • Phoenix AZ

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements skills experience or work location. The range listed is just one component of the compensation package offered to candidates.

$77000.00 - $133000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • 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

Posting End Date:

20 Nov 2025

*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 units risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process visitDisability 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.


Required Experience:

Senior IC

About this RoleWells Fargo is seeking a Senior Analytics Consultant to join the Incentive Compensation Center of Excellence (IC COE) team. This is an exciting opportunity for an experienced data analytics professional to contribute to automation monitoring and process enhancement efforts that suppor...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

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