Business Data Analyst Jobs in North Carolina
Business Data Analyst jobs in North Carolina are in strong demand, concentrated in financial services, healthcare, technology, and state government sectors, with openings at every level from entry-level analyst to senior strategist. The most active hiring markets are Charlotte, Raleigh, and Durham, where established employers such as Bank of America, Duke University Health System, and SAS Institute regularly bring on business data analysts. The most sought-after specialties in North Carolina listings include financial reporting, healthcare analytics, and enterprise data visualization. Find a role that fits below and apply directly.
Find Business Data Analyst JobsOverview
Showing 5 of 8+ Business Data Analyst jobs
Description
Title:Business Data Analyst
Location: Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
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: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Responsibilities:
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
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).
Key Requirements:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Experience in data analysis, data operations, risk data, or a related role.
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.
- Strong understanding of:
- Data structures and data flows
- Risk management and regulatory concepts
- Data governance and data control frameworks
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.
Description
Title:Business Data Analyst
Location: Charlotte, NC
Duration: 12 months
Work Engagement: W2
Work Schedule: Hybrid 3 days in office/2 days remote
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
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: Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Key Responsibilities:
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
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).
Key Requirements:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Experience in data analysis, data operations, risk data, or a related role.
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.
- Strong understanding of:
- Data structures and data flows
- Risk management and regulatory concepts
- Data governance and data control frameworks
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.
See All 8 Business Data Analyst Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Business Data Analyst JobsBusiness Data Analyst Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Business Data Analyst Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
What North Carolina Employers Look For
The qualifications that appear most often in business data analyst jobs across North Carolina.
- Bachelor's degree in business analytics, information systems, or a related quantitative field
- Proficiency in SQL for querying and managing relational databases across business functions
- Experience with business intelligence tools such as Tableau, Power BI, or MicroStrategy
- Strong ability to translate complex data findings into clear recommendations for non-technical stakeholders
- Familiarity with Python or R for data manipulation, analysis, and automated reporting
- Experience working within cross-functional teams in financial services, healthcare, or technology industries
Business Data Analyst Jobs in North Carolina: Frequently Asked Questions
How do you become a business data analyst in North Carolina?
Business data analyst roles in North Carolina do not require a state-issued license. Most employers expect a bachelor's degree in business analytics, information systems, statistics, or a closely related field. North Carolina's major hiring sectors, including financial services in Charlotte and technology and research in the Research Triangle, favor candidates who combine formal education with demonstrated proficiency in SQL, data visualization tools, and business communication. A portfolio of completed analytical projects strengthens a candidacy considerably.
Which companies hire business data analysts in North Carolina?
Employers hiring business data analysts in North Carolina right now include Lenovo, Truist, and Grifols, based on current listings on Migrate Mate as of September 2026. North Carolina's concentration of large financial institutions in Charlotte and major research universities and health systems in the Triangle region means steady, recurring demand from employers with established analytics teams.
Which North Carolina cities have the most business data analyst jobs?
Charlotte, Durham, and Clayton have the most business data analyst openings in North Carolina. Charlotte drives volume through its status as a major U.S. banking and financial services hub, anchored by institutions like Bank of America and Wells Fargo, while Raleigh and Durham benefit from the Research Triangle's dense cluster of technology firms, university health systems, and state government agencies that rely heavily on data analysis functions.
Are there remote business data analyst jobs in North Carolina?
Yes, and more than most fields. About 100% of business data analyst openings tied to North Carolina are remote or hybrid as of September 2026, reflecting how thoroughly desk-based and software-driven this work is. Roles focused on reporting, dashboard development, and data modeling are the most consistently offered on a remote or hybrid basis, while positions requiring close collaboration with on-site operations teams are more likely to require in-person attendance.
How can I get hired as a business data analyst in North Carolina with little or no experience?
The most realistic entry path is targeting junior analyst or data analyst associate roles at North Carolina's large financial institutions and health systems, which run structured new-graduate programs for candidates without professional experience. Bank of America and Duke University Health System, for example, offer rotational or associate analyst programs suited to recent graduates. Candidates moving from adjacent roles such as business operations coordinator, reporting specialist, or financial analyst find it easier to transition with a portfolio of self-directed projects and an entry-level certification in a tool like Tableau or Power BI.
Where can I find and apply to business data analyst jobs in North Carolina?
You can find and apply to business data analyst jobs in North Carolina on Migrate Mate, which lists current openings across the state's major hiring markets including Charlotte, Raleigh, and Durham. Find roles that fit your experience and apply directly to the employers posting them.
See All 8 Business Data Analyst Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Business Data Analyst Jobs