Business Data Analyst

Position :: Business Data Analyst

Location: Charlotte NC 300 S Brevard St

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

Hybrid

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

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.