What are the responsibilities and job description for the Business Data Analyst – Risk Data Services (contract) position at Wells Fargo?
Title: Business Data Analyst – Risk Data Services
Location: 401 Las Colinas Blvd W Bldg A Irving, TX
Duration: 18 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
The Business Data Analyst will support enterprise Risk Data Services (RDS) by enabling compliant, accurate, and well-governed data onboarding and data control processes. This role focuses on data lifecycle oversight, risk and regulatory awareness, metadata onboarding, and data quality controls, rather than deep database administration or complex software development.
The analyst serves as a key liaison between business, technology, and data teams—ensuring requests are properly defined, data flows are understood end-to-end, and controls are functioning as intended. The role carries significant responsibility and requires someone comfortable owning outcomes, coordinating across teams, and ensuring data is processed correctly within established governance frameworks.
Responsibilities:
Risk Data Services & Onboarding
Location: 401 Las Colinas Blvd W Bldg A Irving, TX
Duration: 18 months
Work Engagement: W2
Work Schedule: 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
The Business Data Analyst will support enterprise Risk Data Services (RDS) by enabling compliant, accurate, and well-governed data onboarding and data control processes. This role focuses on data lifecycle oversight, risk and regulatory awareness, metadata onboarding, and data quality controls, rather than deep database administration or complex software development.
The analyst serves as a key liaison between business, technology, and data teams—ensuring requests are properly defined, data flows are understood end-to-end, and controls are functioning as intended. The role carries significant responsibility and requires someone comfortable owning outcomes, coordinating across teams, and ensuring data is processed correctly within established governance frameworks.
Responsibilities:
Risk Data Services & Onboarding
- Support Risk Data Services (RDS) solutions, including onboarding of new data sources, metadata, and tenants.
- Partner with internal stakeholders to intake, refine, and validate onboarding requests, ensuring alignment before data moves through feeds and pipelines.
- Ensure stakeholder expectations are clearly defined and met throughout onboarding.
- Support both manual and automated onboarding processes.
- Execute and monitor data control framework activities, primarily focused on customer-level Level 1–2 data controls.
- Ensure proper data quality, completeness, and accuracy checks are in place.
- Perform root cause analysis for data issues and collaborate on remediation.
- Validate that data is processed according to defined rules, standards, and governance requirements (without deep technical manipulation).
- Work closely with metadata and data simulation teams to ensure requested data is:
- Correctly processed on platform
- Aligned with source-to-target definitions
- Understand and document source-to-target data flows and dependencies.
- Support tenant alignment and metadata consistency across platforms.
- Serve as a translator between business and technology teams—able to speak technical “lingo” while remaining business-focused.
- Collaborate with technology, risk, compliance, and data platform teams.
- Support cross-training initiatives so teams understand each other’s services, responsibilities, and dependencies.
- Assist with backfill and resource coverage efforts as needed.
- Develop and maintain basic reporting and dashboards using Power BI.
- Support internal workflow and process enhancements using Power Apps.
- Read, write, and interpret SQL to validate data and support analysis (no complex development expected).
- Leverage Excel for analysis, reconciliation, and data validation.
- Identify opportunities to improve efficiency through automation, AI awareness, or Copilot-based solutions.
- Contribute ideas that simplify manual processes and improve operational effectiveness (AI is a plus, not a hard requirement).
- 5 years of relevant experience in data analysis, data operations, risk data, or a related role.
- Strong understanding of:
- Data structures and data flows
- Risk management and regulatory concepts
- Data governance and data control frameworks
- Proven experience working in environments with high accountability and ownership.
- Experience supporting or partnering with technology teams and data platforms.
- Ability to understand who owns what across complex, cross-functional processes.
- SQL: Ability to read, write, and validate queries (moderate complexity).
- Power BI: Dashboard creation and data visualization.
- Power Apps: Supporting lightweight internal workflow applications.
- Excel: Advanced formulas, analysis, reconciliation.
- Familiarity with metadata management, data onboarding, or data quality tools is a plus.
- Not a heavy coding, engineering, or advanced analytics role.
- Financial services experience preferred but not required.
- Experience in regulated environments (risk, compliance, data governance) is strongly preferred.
- Understanding of regulatory and risk-driven data controls is essential.
- Strong root cause analysis and problem-solving skills.
- Excellent written and verbal communication.
- Ability to drive clarity in ambiguous situations.
- Strong organizational skills and attention to detail.
- Collaborative mindset with confidence to challenge incomplete or unclear requests.
- Comfortable managing multiple priorities and stakeholders.