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Internship Business Intelligence Analyst Jobs (NOW HIRING)

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Own analytics that move millions of shipments. Join Uline as a Business Intelligence Analyst, where ...

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Own analytics that move millions of shipments. Join Uline as a Business Intelligence Analyst, where ...

The Business Intelligence Analyst use data to figure out market and business trends for companies to increase profits and efficiency. They may work directly for a company or as a consultant. They ...

Business Intelligence Analyst Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Own analytics that move millions of shipments. Join Uline as a Business Intelligence Analyst, where ...

The BI Analyst will support the Business Intelligence Department by assisting with the collection of data from various sources to improve workflow efficiency and firmwide reporting. This role will ...

As a Business Intelligence Analyst, you will gain hands-on experience working with analytics tools, business intelligence platforms, and enterprise data environments while building foundational ...

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Internship Business Intelligence Analyst information

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$45.5K

$99.9K

$163.5K

How much do internship business intelligence analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for internship business intelligence analyst in the United States is $99,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Business Intelligence Analyst vs Business Intelligence Analyst?

AspectInternship Business Intelligence AnalystBusiness Intelligence Analyst
Required CredentialsTypically pursuing or recently completed a degree in data, IT, or related fieldBachelor's degree in data analysis, IT, or related field; often requires experience
Work EnvironmentInternship setting, supervised, learning-focusedFull-time professional role, independent project work
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Established companies across various industries
Search & Comparison IntentUnderstanding entry-level opportunities and differencesCareer progression and role responsibilities

The main difference between an Internship Business Intelligence Analyst and a Business Intelligence Analyst is experience level. Internships are designed for students or recent graduates gaining initial exposure, while the full analyst role requires more experience and independence. Interns focus on learning and supporting projects, whereas analysts lead data analysis and reporting tasks in a professional setting.

What cities are hiring for Internship Business Intelligence Analyst jobs? Cities with the most Internship Business Intelligence Analyst job openings:
What are the most commonly searched types of Business Intelligence Analyst jobs? The most popular types of Business Intelligence Analyst jobs are:
What states have the most Internship Business Intelligence Analyst jobs? States with the most job openings for Internship Business Intelligence Analyst jobs include:

Business Intelligence Analyst

PROLIM Global Corporation

Austin, TX • On-site

Full-time

Posted 26 days ago


Job description

Prolim is hiring for a Business Intelligence Analyst/ Data Analyst for a leading client
Contract: Long term
Location: Austin, TX
I. DESCRIPTION OF SERVICES
The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. The Business Intelligence Analyst use data to figure out market and business trends for companies to increase profits and efficiency. They may work directly for a company or as a consultant. They able to look at large chunks of data and understand trends, and then communicate those trends to the company.
The Department of Information Resources (DIR) requires the services of a Business Intelligence Analyst Specialist hereafter referred to as Worker, who meets the general qualification of Business Intelligence Analyst Specialist, Emerging Technologies and the specifications outlined in this document for Health and Human Services Commission (HHSC) Information Technology.
All work products resulting from the project shall be considered "works made for hire" and are the property of the HHSC. HHSC may include pre-selection requirements that potential Vendors (and their Workers) submit to and satisfy criminal background checks as authorized by the Texas law. HHSC will pay no fees for interviews or discussions, which occur during the process of selecting a Worker(s).
HHSC IT is doing a targeted data curation in the Performance Management & Analytics System (PMAS) for Medicaid Reporting on Medicaid Personal Care Services.
This development effort will utilize an agile methodology based upon the approach currently in use at HHSC for the Performance Management & Analytics System (PMAS).
Overview
The Worker will serve as a senior Business/Systems analyst gathering business and technical requirements, data requirements, business rules, acceptance criteria, including non-visualization business requirements, and then translating to test plans, test scenarios and test cases for a full requirements traceability matrix. The worker will facilitate integration of technical data sources across the Health and Human Services (HHS) departments and agencies. This role empowers HHS staff to effectively develop complex queries, often using AI prompting techniques to access, synthesize, and report accurate data for official, agency reporting and strategic decision-making. The ideal candidate has strong analytical skills, a deep understanding of HHS programs and data, strong history of BI/DW development, and exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI.
Responsibilities
Requirements and Testing
o Work with program areas and project sponsor to gather business requirements and translate into technical specifications.
o Lead as Test Manager creating test plans and test cases that integrate from Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts
o Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources.
o Explain technical findings and data limitations in simple, non-technical language to end-users.
AI Prompting and Data Synthesis
o Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex datasets.
o Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy.
o Develop a library of standardized prompts and query templates for common reporting needs.
Data Reporting and Visualization
o Extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs.
o Collaborate with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
o Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations.
o Ensure all data outputs adhere to agency reporting standards, data governance, and compliance regulations.
Data Literacy and Training
o Champion data literacy across the organization by developing and conducting AI training sessions for non-technical staff.
o Create clear, comprehensive documentation and tutorials on using AI tools for data synthesis.
o Promote a data-driven culture by enabling and empowering all employees to effectively utilize data and AI.
Collaboration and Problem-Solving
o Work closely with data engineering, IT, and Program teams to troubleshoot data-related issues and address inconsistencies and mitigation strategies.
o Provide expert guidance to program staff on interpreting data trends and answering complex data questions.
o Stay up to date on new AI and data analytics tools and techniques to continuously improve data access, data quality and reporting.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
10
Required
Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources
10
Required
Experience explaining technical findings and data limitations in simple, non-technical language to end-users.
10
Required
Experience in a complex data analysis, senior business/systems analyst, and/or data liaison role.
10
Required
Strong experience with SQL for data extraction and manipulation.
10
Required
Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate reports, dashboards, and data visualizations for program monitoring and official reporting.
10
Required
Excellent communication, presentation, and interpersonal skills.
10
Required
Experience with data visualization tools such as Power BI and/or Tableau.
5
Preferred
Experience with Business Intelligence/Data Warehouse
5
Preferred
Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements.
5
Preferred
Experience with data governance and data quality principles
2
Preferred
Experience championing data literacy across the organization by developing and conducting training sessions for non-technical staff.
2
Preferred
Experience training and mentoring staff with varying levels of data literacy.
1
Preferred
Experience with creating AI prompt catalogs using tools such as Streamlit with Python.
1
Preferred
Experience applying responsible AI practices and compliance with agency standards.