AI Data Analyst (contract)

About the Role

Wells Fargo is seeking an AI Data Analyst for a 12-month contract position. This role will partner with business, data, and technology teams to analyze data, improve data quality, support testing, document requirements, and resolve data-related issues impacting critical business processes. The ideal candidate possesses strong analytical and technical skills with a passion for understanding how business processes connect to data, is intellectually curious, detail-oriented, and comfortable leveraging AI-powered tools like Microsoft Copilot to enhance productivity while ensuring accuracy and quality.

Key Responsibilities

• Analyze data to identify patterns, inconsistencies, gaps, and potential data quality issues.
• Perform data profiling, data validation, reconciliation, and root-cause analysis across source and target datasets.
• Use SQL to query, investigate, compare, and validate data.
• Develop an understanding of business processes, data, and source systems; translate this into clear business and data requirements.
• Assist with data mapping and source-to-target analysis, including understanding business definitions and transformation logic.
• Support requirements gathering and translate business needs into clear, actionable requirements and user stories.
• Support UAT and data testing, including test scenario development, execution, defect investigation, and documentation of results.
• Work with business and technology partners to investigate issues and communicate findings clearly.
• Create clear documentation, analysis summaries, process flows, presentations, and other stakeholder materials.
• Use AI-enabled tools to improve productivity and accelerate research, analysis, documentation, test scenario development, and other day-to-day activities.
• Validate AI-generated analysis and recommendations against source data, business rules, and other authoritative information.
• Manage assigned work independently, communicate status and risks proactively, and follow through on commitments.
• Develop knowledge of banking, financial services, data management, and the team's business domain.
• Investigate unfamiliar data or business problems, ask effective questions, and develop a logical approach to finding answers.

Requirements & Tech Stack

• SQL
• Microsoft Excel or comparable analytical tools
• AI-enabled tools such as Microsoft Copilot or similar technologies

Qualifications

• Bachelor's degree in Business, Finance, Economics, Data Analytics, Information Systems, Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
• Strong analytical and problem-solving skills with a demonstrated ability to break down problems logically.
• Working knowledge of SQL, including the ability to query, filter, join, aggregate, and analyze datasets.
• Strong proficiency with Microsoft Excel or comparable analytical tools.
• Ability to work with datasets and perform basic data analysis, validation, and reconciliation.
• Strong written and verbal communication skills, including the ability to explain findings clearly and concisely.
• Strong attention to detail and commitment to producing accurate, high-quality work.
• Demonstrated intellectual curiosity and willingness to learn unfamiliar business processes, technologies, and data concepts.
• Ability to work independently while seeking guidance appropriately when needed.
• Ability to adapt to changing priorities and work effectively in an environment where requirements may evolve.
• Demonstrated ability or strong interest in using generative AI tools such as Microsoft Copilot or similar technologies to improve productivity and problem-solving.
• Ability to critically review and validate AI-generated outputs rather than accepting results without verification.
• Internship, academic, or professional experience involving data analysis, business analysis, data management, financial services, or technology.
• Experience with Python, Power BI, Tableau, or other analytics/visualization tools (preferred).
• Familiarity with Jira, Confluence, or similar Agile delivery tools (preferred).
• Understanding of Agile/Scrum delivery practices, including user stories, acceptance criteria, sprints, and backlog management (preferred).
• Exposure to data quality, data profiling, data lineage, metadata, data mapping, or source-to-target analysis (preferred).
• Experience analyzing large datasets and investigating differences between multiple data sources.
• Familiarity with UAT, testing methodologies, defect management, or reconciliation processes (preferred).
• Exposure to banking, deposits, lending, treasury, finance, risk, or other financial-services data (preferred).
• Experience using AI tools to assist with SQL development, data analysis, research, documentation, requirements development, or testing.
• Ability to quickly learn unfamiliar systems and connect business concepts to underlying data.
• Must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.