Overview

Business Data Analyst Jobs in Charlotte, NC at Astrally

Title: Business Data Analyst

Company: Astrally

Location: Charlotte, NC

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.

Apply

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