Data Analyst at Wells Fargo

Title: Data Analyst

Location: Columbus, OH

Duration: 12 months

Work Engagement: W2

Work Schedule: Hybrid 3 days in office/2 days remote

Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary

In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Information Security Analysis and contribute to large-scale planning related to Information Security Analysis deliverables. Review and analyze moderately complex Information Security Analysis challenges that require an in-depth evaluation of variable factors. Contribute to the resolution of moderately complex issues and consult with others to meet Information Security Analysis deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements. Collaborate with client personnel in Information Security Analysis. Required Qualifications: Information Security Analysis experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Key Requirements

• Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
• Data Analysis & Insights
• Analyze large, complex identity and access datasets to identify trends, anomalies, and risk indicators
• Transform raw data into meaningful insights to support IAM operational decision-making
• Perform data validation, cleansing, and reconciliation across multiple systems and sources
• Dashboarding & Reporting
• Design and develop interactive dashboards and reports using Power BI
• Create user-friendly visualizations to communicate key IAM metrics, KPIs, and compliance data
• Maintain and enhance existing reporting solutions to improve accuracy and usability
• Automation & Low-Code Solutions
• Build workflow automations using Power Automate and Power Apps
• Develop low-code applications to streamline IAM operational processes
• Identify opportunities to reduce manual effort and improve operational efficiency through automation
• Data Engineering & Integration
• Connect to and extract data from various structured data sources (e.g., databases, APIs, enterprise systems)
• Utilize tools such as Alteryx to prepare, blend, and transform datasets
• Support development of scalable data pipelines and reusable data assets
• Agile Delivery Execution
• Work from a Jira backlog, managing assigned stories and tasks in an agile framework
• Collaborate with team members and stakeholders to refine requirements and deliver incremental value
• Provide regular updates on progress, risks, and dependencies
• Stakeholder Collaboration
• Partner with IAM operations, engineering, and risk teams to understand data needs
• Translate business requirements into technical data and automation solutions
• Deliver clear, concise communication of findings and solutions