Senior Analytics Consultant - Data Transformation at Wells Fargo
Charlotte, North Carolina, USA -
Full Time


Start Date

Immediate

Expiry Date

23 Nov, 25

Salary

0.0

Posted On

23 Aug, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Business Requirements, Technical Requirements, Visualization, Alteryx, Sql, Research, Sas, Training, Relational Databases, Business Knowledge, Data Analysis

Industry

Information Technology/IT

Description

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 Qualifications:

  • Ability to work and influence successfully within a matrix environment by establishing and maintaining effective working relationships with all levels of the organization.
  • Knowledge and understanding of business requirements gathering and translation to technical requirements.
  • Problem solving using data and business knowledge.
  • Experience with Wealth & Investment Management customer and product data.
  • Knowledge of the modern data stack and experience performing complex data analysis, research, and visualization using tools such as SQL, SAS, PowerBI, Alteryx, etc.
  • Familiar with large relational databases.
  • Strong analytical and problem-solving skills with high attention to detail and with sound business judgment; ability to interpret analytical problems.
  • Familiar with Hadoop / Google BigQuery / Spark / Vertex AI.

Job Expectations:

  • This position offers a hybrid work schedule
  • This position is not eligible for VISA sponsorship

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

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

Responsibilities

Wells Fargo is seeking a Senior Analytics Consultant to join the BSA /AML Data Product and Transformation team. Wells Fargo is embarking on a multiyear transformation journey aimed at building a centralized capability to store, manage and analyze Financial Crimes Compliance Operations (FCO) data to fulfill the Bank’s BSA / AML regulatory, compliance and risk commitments. Wells Fargo is seeking a candidate with deep expertise in transformation, product, data, BSA/AML, operations, and technology to solve key strategic problems associated with the transformation effort.
The BSA /AML Data Transformation team will deliver to our stakeholders curated data products, which are valuable, understandable, and trustworthy (among other attributes) to our stakeholders, the Operations and Risk analytics communities. These products will directly support their ability to leverage Wells Fargo data assets for insight generation.
Success in this role will enable faster delivery of the program’s objectives, which include standing up data products to drive our regulatory, compliance, and risk commitments.

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
  • Work with data partners to develop requirements to accurately identify populations that require remediation.
  • Convert complex business requirements into actionable technical requirements.
  • Assist with the development of code to satisfy the requirement.
  • Lead initiatives across multiple lines of business to create consistency while gaining approval and support of senior leadership.
  • Identify gaps or inconsistencies within requirements and work toward an effective solution.
  • 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
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