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Business Intelligence Analyst Intern Jobs in Raleigh, NC

Business Development Intern - STREAMETRIC Position Summary STREAMETRIC is seeking a motivated and ... Research and analytical capabilities * Attention to detail and follow-through * Customer-focused ...

Business Development Intern - STREAMETRIC Position Summary STREAMETRIC is seeking a motivated and ... Research and analytical capabilities * Attention to detail and follow-through * Customer-focused ...

Sr. Data Analyst

Durham, NC · On-site

$83K - $104K/yr

What You'll Do As a senior analytics professional, you will develop advanced reporting, automation, and business intelligence solutions that support Supply Chain initiatives and strategic decision ...

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Business Intelligence Analyst Intern information

See Raleigh, NC salary details

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How much do business intelligence analyst intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for business intelligence analyst intern in Raleigh, NC is $20.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.37 per hour, depending on experience, location, and employer.

What does a Business Intelligence Analyst Intern do?

A Business Intelligence Analyst Intern supports the analysis and interpretation of data to help organizations make informed business decisions. They typically assist in gathering data from various sources, cleaning and organizing it, and creating visualizations or reports. Interns may work with software tools like Excel, SQL, or Tableau to analyze trends and patterns. Their work often helps different departments understand performance metrics and identify opportunities for improvement.

What would a business intelligence analyst intern do?

A business intelligence analyst intern assists in collecting, analyzing, and visualizing data to support business decision-making. They often work with tools like SQL, Excel, and data visualization software, and may help prepare reports, dashboards, and presentations under supervision.

What are the key skills and qualifications needed to thrive as a Business Intelligence Analyst Intern, and why are they important?

To thrive as a Business Intelligence Analyst Intern, you need a solid background in data analysis, statistics, and business concepts, often supported by progress toward a related degree such as business, computer science, or analytics. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Excel is typically expected. Strong analytical thinking, attention to detail, and clear communication skills help interns interpret data and share insights effectively. These abilities are crucial for transforming raw data into actionable business recommendations and supporting decision-making processes.

What are some typical projects or tasks a Business Intelligence Analyst Intern might work on during their internship?

As a Business Intelligence Analyst Intern, you can expect to work on projects such as preparing data visualizations, assisting with the creation and maintenance of dashboards, and analyzing datasets to uncover trends or insights for business decision-making. Interns often collaborate closely with senior analysts and cross-functional teams, contributing to data cleaning, report generation, and sometimes participating in meetings to discuss findings. These experiences provide valuable exposure to industry-standard BI tools and real-world business challenges, helping you build foundational skills for a future career in business analytics.
What are the most commonly searched types of Business Intelligence Analyst jobs in Raleigh, NC? The most popular types of Business Intelligence Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Business Intelligence Analyst Intern jobs? Cities near Raleigh, NC with the most Business Intelligence Analyst Intern job openings:
Infographic showing various Business Intelligence Analyst Intern job openings in Raleigh, NC as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $42,150 per year, or $20.3 per hour.

Manager, Supply Chain Analytics and Business Insights

Duke University

Durham, NC • On-site

Full-time

Posted 23 days ago


Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

485th of 617 rated colleges and universities


Job description

At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and discover how we can advance health together.
Role Purpose
Lead Duke Health Supply Chain's analytics and business insights function by building, maintaining, automating, and improving the reporting tools that allow leaders to see performance, manage value, and act on opportunities across the enterprise. This manager owns Power BI dashboards and related business intelligence products for sourcing, shared services, IT, facilities, indirect spend, economic mobility, and other supply chain verticals. The role converts data into usable insight, trains leaders to use analytics tools, and creates new analysis solutions as business needs evolve.
Primary Accountability Areas
Analytics and Business Insights Leadership
  • Strategic Leadership: Lead the analytics and business insights function for Enterprise Supply Chain with clear ownership for reporting products, dashboard reliability, and actionable data interpretation.
  • Solution Design: Translate executive, sourcing, operational, shared services, and economic mobility needs into practical analytics solutions that support decision-making and measurable value creation.
  • Reporting Environment: Create a disciplined reporting environment where leaders can distinguish activity, opportunity, projected value, realized value, risk, and performance trends.

Power BI Dashboard Development and Sustainment
  • Dashboard Creation: Create, maintain, and continuously improve Power BI dashboards for sourcing, shared services, IT, facilities, indirect spend, economic mobility, and other Supply Chain verticals.
  • Reliability: Ensure dashboards are reliable, current, user-friendly, and aligned to the metrics and operating cadence used by Supply Chain leaders and stakeholders.
  • Governance: Maintain data definitions, reporting logic, refresh cadence, dashboard governance, and version control so reported information remains consistent and trusted.

Data Automation and Business Intelligence Enablement
  • Process Automation: Automate data collection and refresh processes that feed Power BI dashboards and other business intelligence tools.
  • Pipeline Development: Identify manual reporting processes that can be replaced with repeatable data pipelines, standardized templates, automated extracts, and controlled reporting routines.
  • Cross-Functional Partnership: Partner with technology, operations, sourcing, finance, and other data owners to improve data quality, reduce rework, and increase reporting speed.

Vertical-Specific Analysis Solutions
  • Custom Solutions: Create net new analysis solutions as needed for each Supply Chain vertical, including sourcing, operations, shared services, technology, facilities, purchased services, contracting, economic mobility, and university-facing work.
  • Performance Tracking: Develop tools that support savings pipeline tracking, spend segmentation, supplier concentration, contract adoption, cycle time, project performance, inventory indicators, service metrics, and stakeholder reporting.
  • Data Translation: Convert complex data into clear narratives, visuals, and recommendations that help leaders understand the issue, decision point, expected impact, and next action.

Training, Adoption, and Leader Support
  • Tool Training: Train Supply Chain leaders and teams on available analytics tools, dashboard use, interpretation, and appropriate application of business intelligence products.
  • Operational Support: Support leaders in using analytics during operating reviews, QBRs, executive briefings, initiative tracking, supplier discussions, and performance management routines.
  • Adoption Improvement: Improve analytics adoption by making tools intuitive, decision-oriented, and connected to the work leaders are accountable to manage.

Team Leadership and Standard Work
  • Team Management: Lead three analytics analysts responsible for data preparation, dashboard maintenance, ad hoc analysis, reporting support, and business intelligence product development.
  • Process Standardization: Establish standard work for intake, prioritization, dashboard development, data validation, documentation, release management, user training, and ongoing support.
  • Culture Building: Build a high-accountability analytics culture that is service-oriented, technically capable, curious, responsive, and focused on decision usefulness rather than reporting volume.

Governance, Data Quality, and Stakeholder Partnership
  • Data Governance: Create governance routines that define report ownership, metric definitions, refresh cadence, access expectations, data validation, and escalation pathways for reporting issues.
  • Trusted Advisory: Serve as a trusted analytics partner to Supply Chain vertical leaders, Finance, IT, sourcing teams, operations leaders, shared services, and economic mobility stakeholders.
  • Quality Assurance: Protect confidence in Supply Chain reporting by ensuring analysis is explainable, documented, reproducible, and aligned with the business question being answered.

Scope & Influence
  • Level: Manager-level analytics leader supporting Enterprise Supply Chain with DUHS position ownership and enterprise-facing reporting responsibilities.
  • Responsibilities: Scope includes dashboard creation, dashboard sustainment, automated data collection, analytics tool training, ad hoc analysis, and new business intelligence solution development.
  • Team Scope: Directly leads three analytics analysts and works across all Supply Chain verticals, including sourcing, shared services, IT, facilities, indirect spend, economic mobility, operations, and university-facing support.
  • Strategic Impact: Influences leadership decision-making, value tracking, operational transparency, stakeholder reporting, and the maturity of Supply Chain's data-driven operating model.

Measures of Success
  • Power BI dashboards are current, reliable, useful, and adopted by Supply Chain leaders across all verticals.
  • Manual reporting burden is reduced through automated data collection, controlled refresh routines, and repeatable business intelligence processes.
  • Leaders have clear visibility to sourcing, shared services, IT, facilities, indirect spend, economic mobility, and enterprise performance indicators.
  • Analytics products improve decision speed, executive communication, value tracking, supplier discussions, and operating review discipline.
  • Analytics analysts operate with clear priorities, consistent standards, and reliable quality control.
  • Stakeholders trust the data, understand the measures, and use dashboards to manage action rather than simply observe performance.

Leadership Success Profile - What Great Looks Like
  • Foundational Leadership Qualities:
    • Business intelligence translator: Understands operational and sourcing questions and converts them into dashboards, analyses, and tools leaders can use.
    • Data quality operator: Builds reliable reporting routines, validates data logic, and protects confidence in Supply Chain performance information.
    • Automation-minded improver: Reduces manual reporting work and creates repeatable data processes that scale across the enterprise.
    • Teacher and adoption leader: Trains leaders and teams so analytics tools become part of the operating rhythm, not separate reporting products.
    • People leader and capability builder: Develops analysts who can support complex business questions with speed, clarity, discipline, and customer focus.
  • Strategic Differentiators:
    • Experience building or supporting business intelligence, Power BI dashboards, data automation, reporting governance, or analytics products in a complex enterprise environment.
    • Ability to support multiple Supply Chain verticals with different data needs, stakeholder expectations, operating cadences, and decision questions.
    • Strong orientation toward decision support, executive-ready communication, metric discipline, and practical visualization of complex information.
    • Comfort working across technical, operational, financial, sourcing, and executive audiences.
  • Evidence We Screen For:
    • Built, maintained, or governed dashboards, recurring analytics products, or business intelligence tools used by operational leaders.
    • Automated recurring reporting processes or improved data collection, refresh, validation, and distribution routines.
    • Led analysts or coordinated analytical work across multiple stakeholders and business domains.
    • Demonstrated ability to explain complex data in clear business terms and create analysis products that drive action.
    • Experience supporting supply chain, sourcing, finance, operations, healthcare, university, or similarly complex enterprise functions is preferred.

Knowledge, Skills, and Abilities
Knowledge
  • Business Intelligence & Visualization: Strong knowledge of business intelligence and data visualization, particularly Power BI, including data modeling, dashboard development, reporting logic, refresh processes, and visualization best practices.
  • Data Governance: Understanding of data governance, metric definitions, data validation, quality controls, documentation, access management, and reporting lifecycle management.
  • Integration & Automation: Working knowledge of data integration and reporting automation, including the ability to reduce manual reporting through repeatable data pipelines, standardized extracts, and controlled refresh routines.
  • Business & Financial Acumen: Strong business and financial acumen, with the ability to understand performance measures, spend, savings, realized value, operational trends, risk, and executive reporting.
  • Enterprise Environments: Familiarity with supply chain, sourcing, procurement, finance, healthcare operations, university operations, or another complex enterprise environment is strongly preferred.

Skills
  • Requirements Translation: Demonstrated ability to translate ambiguous business questions into practical dashboards, analyses, metrics, and decision-support tools.
  • Technical Proficiency: Advanced Power BI and analytical skills, with sufficient technical depth to guide development, challenge reporting logic, and ensure the quality of the team's work.
  • Data Storytelling: Strong data storytelling and executive communication skills-the individual must be able to explain what the data means, why it matters, the decision required, and the recommended next action.
  • Team Development: Strong people-leadership skills, including setting priorities, establishing standard work, reviewing analytical quality, coaching analysts, and building team capability.
  • Stakeholder Management: Strong consultative skills, with the ability to work effectively across technical, operational, sourcing, financial, and executive audiences.
  • Project Management: Strong project and product-management discipline, including intake, prioritization, requirements gathering, development, testing, release management, user training, and ongoing support.
  • Visual Design: Ability to create clear, intuitive, decision-oriented visualizations rather than producing reports that simply present data.

Abilities
  • Hands-On Leadership: Ability to lead and develop a team of data analysts and developers while also remaining sufficiently hands-on to understand the data, reporting logic, and analytical products.
  • Cross-Functional Support: Ability to support multiple Supply Chain verticals with different business questions, data sources, stakeholders, priorities, and operating cadences.
  • Process Governance: Ability to establish trusted definitions and governance so leaders are working from consistent, explainable, documented, and reproducible information.
  • Continuous Improvement: Ability to identify reporting processes that should be automated, simplified, standardized, or eliminated.
  • Workload Balancing: Ability to balance recurring reporting requirements with ad hoc executive requests and development of net-new analytical solutions.
  • Change Management: Ability to train leaders and teams to use dashboards and analytics as part of their regular operating and performance-management routines.
  • Constructive Focus: Ability to challenge requests constructively and focus the team on analytics that drive decisions, accountability, and measurable action-not simply reporting volume.
  • Operational Execution: Ability to operate with curiosity, urgency, responsiveness, customer focus, and a high degree of ownership.

Ideal Candidate Profile: The strongest candidate will have evidence that they have personally built or governed enterprise dashboards, automated recurring reporting, led analysts, improved confidence in organizational data, and created analytical products that changed a decision or prompted action. We are not prioritizing a candi

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US