Business Data Analyst (Risk Data Services)

TL;DR

Business Data Analyst (Risk Data Services): Support enterprise Risk Data Services by enabling compliant, accurate, and well-governed data onboarding and data control processes with an accent on data lifecycle oversight, metadata onboarding, and quality controls. Focus on partnering with stakeholders to validate requests, monitor data flows end-to-end, and perform root cause analysis for issues.

Location: Charlotte, NC (Hybrid)

Company

hirify.global, a staffing firm supporting roles in financial services and risk data management.

What you will do

• Support Risk Data Services solutions, including onboarding new data sources, metadata, and tenants while partnering with stakeholders to refine and validate requests.
• Execute and monitor data control framework activities focused on customer-level data quality, completeness, and accuracy checks.
• Perform root cause analysis for data issues and collaborate on remediation, ensuring data aligns with governance standards.
• Work with metadata and data simulation teams to document source-to-target data flows and support tenant alignment.
• Serve as liaison between business, technology, risk, compliance, and data platform teams, facilitating cross-training and resource coverage.
• Develop basic reporting and dashboards using Power BI, support workflows with Power Apps, and use SQL/Excel for data validation.

Requirements

• 5+ years in data analysis, data operations, risk data, or related roles
• Strong understanding of data structures/flows, risk management/regulatory concepts, and data governance/control frameworks
• Experience in regulated environments (risk, compliance, data governance) strongly preferred
• Proven ability to work with high accountability, own outcomes, and collaborate across cross-functional teams
• SQL (read/write/validate moderate queries), Power BI (dashboards/visualization), Power Apps (lightweight workflows), advanced Excel
• Strong root cause analysis, problem-solving, communication, organizational skills, and ability to drive clarity in ambiguity

Nice to have

• Financial services experience
• Familiarity with metadata management, data onboarding, or data quality tools
• Ideas for efficiency improvements via automation, AI, or Copilot solutions

Culture & Benefits

• Collaborative environment emphasizing cross-team understanding, ownership, and operational effectiveness
• Focus on high accountability and managing multiple priorities/stakeholders