Location: Charlotte, NC
Salary: $51.00 USD Hourly - $55.00 USD Hourly
Description: Business Data Analyst - Risk Data Services (Contract)Location: Charlotte, NC (Hybrid - 3 days/week onsite at 300 S Brevard St)
Contract Duration: 12 months (strong potential for extension; possible conversion to full-time)
Start Date: ASAP
Work Authorization: Must be eligible to work in the U.S.
Role OverviewThe Business Data Analyst - Risk Data Services supports enterprise-wide Risk Data Services (RDS) by enabling compliant, accurate, and well-governed data onboarding and data control processes. This role focuses on data lifecycle oversight, metadata onboarding, regulatory awareness, and data quality controls.
The analyst serves as a key liaison between business, technology, and data teams, ensuring onboarding requests are clearly defined, data flows are understood end-to-end, and governance controls operate as intended. This position requires strong ownership, accountability, and cross-functional coordination.
This is
not a deep engineering or database administration role.
Key Responsibilities Risk Data Services & Data Onboarding
- Support Risk Data Services (RDS) solutions, including onboarding new data sources, metadata, and tenants
- Partner with stakeholders to intake, refine, and validate onboarding requests prior to data movement
- Ensure stakeholder expectations are clearly documented and met throughout the onboarding lifecycle
- Support both manual and automated onboarding processes
Data Controls & Data Quality
- Execute and monitor customer-level Level 1-2 data controls within the data control framework
- Ensure data completeness, accuracy, and quality checks are properly implemented
- Perform root cause analysis for data issues and collaborate with partners on remediation
- Validate that data is processed according to defined rules, standards, and governance requirements
Metadata & Platform Support
- Collaborate with metadata and data simulation teams to ensure requested data is:
- Correctly processed on the platform
- Aligned with approved source-to-target mappings
- Document end-to-end data flows, dependencies, and tenant alignment
- Support metadata consistency across platforms
Cross-Functional Collaboration
- Act as a bridge between business and technology teams, translating technical concepts into business context
- Partner with data platform, risk, compliance, and technology teams
- Support cross-training initiatives to improve understanding of services and dependencies
- Assist with coverage and backfill efforts as needed
Reporting & Light Development
- Develop and maintain dashboards and reports using Power BI
- Support internal workflows using Power Apps
- Read, write, and interpret moderate-complexity SQL for validation and analysis
- Perform analysis, reconciliation, and data validation using Excel
Continuous Improvement
- Identify opportunities to improve efficiency through automation, AI awareness, or Copilot-based solutions
- Recommend process improvements to reduce manual effort and enhance operational effectiveness
Required Qualifications- 4+ years of software engineering experience or equivalent experience demonstrated through work, consulting, military service, education, or training
- 5+ years of experience in data analysis, data operations, risk data, or a related discipline
- Strong understanding of:
- Data structures and end-to-end data flows
- Risk management and regulatory concepts
- Data governance and data control frameworks
Preferred Qualifications- Financial services industry experience
- Experience working in regulated environments (risk, compliance, data governance)
- Familiarity with metadata management, data onboarding, or data quality tools
Technical Skills- SQL: Read, write, and validate moderate-complexity queries
- Power BI: Dashboard creation and data visualization
- Power Apps: Support for lightweight workflow applications
- Excel: Advanced formulas, reconciliation, and analysis
Soft Skills & Competencies- Strong problem-solving and root cause analysis skills
- Excellent written and verbal communication
- Ability to drive clarity in ambiguous environments
- Highly organized with strong attention to detail
- Collaborative mindset with confidence to challenge unclear or incomplete requirements
- Ability to manage multiple priorities and stakeholders
What This Role Is Not- Not a Database Administrator (DBA) role
- Not a heavy engineering or advanced analytics role
- Not focused on complex data modeling or deep coding
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