Business Data Analyst

Location: Charlotte, NC – 300 S Brevard St

Duration- 12 Months- Potential for extension or full time.

Hybrid

Pay- $50-$58/Hr with $5NP Fee

Interview Process:

First Round: 30-minute Microsoft Teams interview

Second Round: 30-minute panel interview via Microsoft Teams

POSSIBLE IN-PERSON INTERVIEW FOR 2ND ROUND-PREPARE CANDIDATES BUT THIS IS UNDECIDED YET

PREFER LOCAL FOR POTENTIAL IN PERSON INTERVIEW

FINANCIAL/BANKING EXPERIENCE

PREFER USC OR GC

SORRY NO C2C’S OR OPT’S

What This Role Is Not

Not a Database Administrator (DBA) role

Not a heavy engineering or advanced analytics role

Not deep in-the-weeds data modeling or complex coding

Job Description

Role 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.

Key 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.

Data Controls & Data Quality

• 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.
• Valdate that data is processed according to defined rules, standards, and governance requirements (without deep technical manipulation).

Metadata & Platform Support

• 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.

Cross-Team Collaboration

• 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.

Reporting & Light Development

• 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.

Innovation & Continuous Improvement

• 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).

Required Qualifications

• 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.

Technical Skills

• 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.

Industry Experience

• 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.

Soft Skills & Competencies

• 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.