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Business Data Analyst Risk Data Services

Mindlance

CHARLOTTE, NC

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JOB DETAILS
SKILLS
Analysis Skills, Artificial Intelligence (AI), Automation, Consulting, Continuous Improvement, Cross-Functional, Customer Relations, Data Analysis, Data Modeling, Data Quality, Data Structures, Data Visualization, Database Administration, Database Administration Software, Detail Oriented, Financial Services, Metadata, Multiplatform/Cross-Platform, Multitasking, Onboarding, Operational Audit, Operational Improvement, Operational Strategy, Organizational Skills, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Reconciliation, Regulations, Regulatory Compliance, Reporting Dashboards, Risk, Risk Analysis, Risk Management, Root Cause Analysis, SQL (Structured Query Language), Simulation, Software Development, Software Engineering, Standards Development, Team Player, Translation Services, Writing Skills
LOCATION
CHARLOTTE, NC
POSTED
24 days ago
Functional Title: Business Data Analyst Risk Data Services
Location: Charlotte, NC
Work Arrangement: Hybrid; 3 days per week in-office
Contract Duration: 12 Months Contract (Strong potential for extension/May convert to full-time (FTE))

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)

Job Descriptions:
  • In this contingent resource assignment, you may: Consult on or participate in moderately complex initiatives and deliverables within Software Engineering and contribute to large-scale planning related to Software Engineering deliverables.
  • Review and analyze moderately complex Software Engineering challenges that require an in-depth evaluation of variable factors.
  • Contribute to the resolution of moderately complex issues and consult with others to meet Software Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
  • Collaborate with client personnel in Software Engineering.

Required Qualifications:
4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education..

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.
  • Validate 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.
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
EEO:
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

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Mindlance

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