Data Consultant Jobs in North Carolina
Data Consultant jobs in North Carolina are consistently in demand, with strong hiring concentrated in financial services, technology, healthcare, and government contracting at levels from entry-level analyst through senior principal. Charlotte, Raleigh, and Durham account for the majority of openings, anchored by employers such as Bank of America, SAS Institute, and Duke University Health System. The most sought-after specialties in the state are business intelligence, enterprise data management, and analytics strategy. Find a role that fits below and apply directly.
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Showing 5 of 11+ Data Consultant jobs
Description
Title: Senior Power BI & GCP Data Analytics Consultant
Location: Charlotte, NC
Duration: 6 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 complex initiatives with broad impact and large-scale planning for Systems Architecture Review and analyze complex multi-faceted, larger scale or longer-term Systems Architect challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables Strategically collaborate and consult with Client personnel Required Qualifications: Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Key Responsibilities:
- Design, develop, and maintain enterprise-grade Power BI dashboards, scorecards, and reporting solutions.
- Build executive, operational, and strategic reporting that enables data-driven decision making.
- Develop complex data models, semantic layers, KPIs, calculations, and DAX measures.
- Create interactive visualizations highlighting trends, risks, performance, and opportunities.
- Optimize dashboard performance, refresh schedules, and user experience.
- Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
- Establish reporting standards, governance, and documentation.
- Design, build, and optimize data ingestion pipelines into Google Cloud Platform (GCP).
- Develop ETL/ELT processes to ingest data from enterprise applications, APIs, operational systems, and third-party sources.
- Work with BigQuery and cloud-native services to support scalable analytics solutions.
- Support data transformation, data quality validation, and reconciliation processes.
- Develop automated ingestion and monitoring capabilities to support operational and analytical use cases.
- Optimize data processing and storage architectures for performance and scalability.
- Collaborate with enterprise architecture and platform teams to align with cloud standards and best practices.
- Partner with business teams to define, document, and operationalize KPI frameworks.
- Develop executive scorecards and operational performance reporting.
- Create leading and lagging indicators to measure:
- Design KPI governance processes, metric definitions, thresholds, and reporting standards.
- Deliver monthly and quarterly business performance reporting packages.
- Develop and maintain Statistical Process Control reporting for Human-in-the-Loop (HITL) and operational process management programs.
- Design and implement SPC visualizations and performance monitoring capabilities including:
- Monitor process stability and identify common cause and special cause variation.
- Establish automated alerting and threshold monitoring based on control limits and performance targets.
- Support continuous improvement initiatives through data-driven root cause analysis and trend identification.
- Partner with process owners and control teams to evaluate control effectiveness and operational health.
- Perform trend analysis, forecasting, statistical analysis, and operational assessments.
- Identify emerging risks, process bottlenecks, and optimization opportunities.
- Develop executive narratives and data-driven recommendations for leadership teams.
- Support process intelligence, observability, automation, AI, and analytics initiatives.
- Participate in Agile ceremonies including sprint planning, backlog grooming, and delivery reviews.
Key Requirements:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
- Hands-on experience developing Power BI solutions.
- Experience working within Google Cloud Platform (GCP).
- Advanced experience with:
- Experience building executive dashboards and enterprise reporting solutions.
- Strong understanding of dimensional modeling and business intelligence best practices.
- Experience working with large-scale datasets and enterprise environments.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience supporting Human-in-the-Loop (HITL), AI Operations, Process Intelligence, Automation, or Digital Transformation programs.
- Experience implementing Statistical Process Control (SPC) methodologies.
- Knowledge of Lean, Six Sigma, Operational Excellence, or Continuous Improvement frameworks.
- Experience developing KPI scorecards and operational health dashboards.
- Proficiency with:
o APIs
o Git-based source control
o Agile/Scrum methodologies
o Data Governance and Metadata Management
- Experience with process mining, observability, automation, or workflow analytics platforms.
- Financial services or highly regulated industry experience preferred.
Description
Title: Senior Power BI & GCP Data Analytics Consultant
Location: Charlotte, NC
Duration: 6 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 complex initiatives with broad impact and large-scale planning for Systems Architecture Review and analyze complex multi-faceted, larger scale or longer-term Systems Architect challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables Strategically collaborate and consult with Client personnel Required Qualifications: Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Key Responsibilities:
- Design, develop, and maintain enterprise-grade Power BI dashboards, scorecards, and reporting solutions.
- Build executive, operational, and strategic reporting that enables data-driven decision making.
- Develop complex data models, semantic layers, KPIs, calculations, and DAX measures.
- Create interactive visualizations highlighting trends, risks, performance, and opportunities.
- Optimize dashboard performance, refresh schedules, and user experience.
- Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
- Establish reporting standards, governance, and documentation.
- Design, build, and optimize data ingestion pipelines into Google Cloud Platform (GCP).
- Develop ETL/ELT processes to ingest data from enterprise applications, APIs, operational systems, and third-party sources.
- Work with BigQuery and cloud-native services to support scalable analytics solutions.
- Support data transformation, data quality validation, and reconciliation processes.
- Develop automated ingestion and monitoring capabilities to support operational and analytical use cases.
- Optimize data processing and storage architectures for performance and scalability.
- Collaborate with enterprise architecture and platform teams to align with cloud standards and best practices.
- Partner with business teams to define, document, and operationalize KPI frameworks.
- Develop executive scorecards and operational performance reporting.
- Create leading and lagging indicators to measure:
- Design KPI governance processes, metric definitions, thresholds, and reporting standards.
- Deliver monthly and quarterly business performance reporting packages.
- Develop and maintain Statistical Process Control reporting for Human-in-the-Loop (HITL) and operational process management programs.
- Design and implement SPC visualizations and performance monitoring capabilities including:
- Monitor process stability and identify common cause and special cause variation.
- Establish automated alerting and threshold monitoring based on control limits and performance targets.
- Support continuous improvement initiatives through data-driven root cause analysis and trend identification.
- Partner with process owners and control teams to evaluate control effectiveness and operational health.
- Perform trend analysis, forecasting, statistical analysis, and operational assessments.
- Identify emerging risks, process bottlenecks, and optimization opportunities.
- Develop executive narratives and data-driven recommendations for leadership teams.
- Support process intelligence, observability, automation, AI, and analytics initiatives.
- Participate in Agile ceremonies including sprint planning, backlog grooming, and delivery reviews.
Key Requirements:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
- Hands-on experience developing Power BI solutions.
- Experience working within Google Cloud Platform (GCP).
- Advanced experience with:
- Experience building executive dashboards and enterprise reporting solutions.
- Strong understanding of dimensional modeling and business intelligence best practices.
- Experience working with large-scale datasets and enterprise environments.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience supporting Human-in-the-Loop (HITL), AI Operations, Process Intelligence, Automation, or Digital Transformation programs.
- Experience implementing Statistical Process Control (SPC) methodologies.
- Knowledge of Lean, Six Sigma, Operational Excellence, or Continuous Improvement frameworks.
- Experience developing KPI scorecards and operational health dashboards.
- Proficiency with:
o APIs
o Git-based source control
o Agile/Scrum methodologies
o Data Governance and Metadata Management
- Experience with process mining, observability, automation, or workflow analytics platforms.
- Financial services or highly regulated industry experience preferred.
See All 11 Data Consultant Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
Find Data Consultant JobsData Consultant Jobs by City in North Carolina
Where North Carolina roles are concentrated, by current openings.
Data Consultant Job Market in North Carolina
A snapshot from current North Carolina openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Investment & Asset Management
- Accounting & Auditing
- Consulting & Professional Services
What North Carolina Employers Look For
The qualifications that appear most often in data consultant jobs across North Carolina.
- Bachelor's degree in data science, statistics, computer science, or a related analytical field
- Proficiency in SQL and at least one analytical language such as Python or R
- Experience with business intelligence tools such as Tableau, Power BI, or SAS
- Ability to translate complex data findings into clear recommendations for business stakeholders
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud
- Experience working within regulated industries such as financial services or healthcare
Data Consultant Jobs in North Carolina: Frequently Asked Questions
How do you become a data consultant in North Carolina?
A bachelor's degree in data science, statistics, computer science, or a related quantitative field is the standard entry point for data consultants in North Carolina. The role carries no state-issued license, but earning a recognized certification such as the Certified Analytics Professional strengthens candidacy. North Carolina employers, particularly in Charlotte's financial corridor and the Research Triangle's technology sector, favor candidates who can demonstrate hands-on project experience through a portfolio or applied coursework.
How much do data consultants make in North Carolina?
Data consultants in North Carolina earn a median of about $119,090 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,970 for the lowest 10% to over $172,830 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data consultants in North Carolina?
Employers hiring data consultants in North Carolina right now include Infosys, Deloitte, and U.S. Bank, based on current listings on Migrate Mate as of August 2026. North Carolina's concentration of financial institutions in Charlotte and technology and life sciences firms in the Research Triangle Park area means demand stays active across multiple industries throughout the year.
Which North Carolina cities have the most data consultant jobs?
Charlotte, Raleigh, and Durham have the most data consultant openings in North Carolina. Charlotte's large financial services sector drives demand there, while Raleigh and Durham benefit from the Research Triangle Park ecosystem, which clusters major technology companies, pharmaceutical firms, and research universities that consistently need consulting talent close to their campuses and offices.
Are there remote data consultant jobs in North Carolina?
Yes, and more than most fields. About 67% of data consultant openings tied to North Carolina are remote or hybrid as of August 2026, reflecting the largely desk-based, analytical nature of the work. The tasks most commonly performed remotely include data modeling, dashboard development, and stakeholder reporting, while on-site requirements tend to arise for engagements involving sensitive client data or embedded team collaboration.
How can I get hired as a data consultant in North Carolina with little or no experience?
The most realistic entry path is an analyst or junior consultant role at a North Carolina-based consultancy or large employer, using an internship or a degree project as the initial credential. Firms operating in Research Triangle Park, along with Charlotte-area financial institutions, regularly hire recent graduates into associate analyst programs that build consulting skills on the job. Transitioning from a business analyst or data analyst title is common, and building a portfolio of public datasets or capstone projects gives candidates a concrete edge when experience is limited.
Where can I find and apply to data consultant jobs in North Carolina?
You can find and apply to data consultant jobs in North Carolina on Migrate Mate, which lists current openings in the state. Find the roles that fit your background and apply directly.
See All 11 Data Consultant Jobs in North Carolina
Find roles in North Carolina that match your experience and apply in just a few clicks.
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