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Business Intelligence Data Analyst Intern Jobs (NOW HIRING)

The Business Intelligence Analyst also supports reporting enhancements, data integrity, and emerging analytics technologies to improve business performance. Job Duties and Responsibilities * Meet ...

The Business Intelligence & Insights Intern will support the Business Intelligence and Insights team in developing data and analytics solutions that help the organization turn information into ...

Data Analyst Intern

El Segundo, CA ยท On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro ... Be exposed to an ever-expanding and far-reaching business across a wide variety of sectors and ...

Data Analyst Intern

Los Angeles, CA ยท On-site

$20 - $25/hr

We're looking for a data analyst intern to join our LA based team! If you're a problem-solving pro ... Be exposed to an ever-expanding and far-reaching business across a wide variety of sectors and ...

The Data Intelligence Intern will support the Division of Analytics, Intelligence, and Reporting by assisting with data analysis, business intelligence, automation, and reporting initiatives. This ...

Director Business Intelligence Data Analysis

NY ยท On-site +1

$150K - $200K/yr

BluZinc is exclusively hiring a remote UAS based Director or Head of Business Intelligence and Data Analytics for a $100MM+ digital eLearning, mobile app, and online coaching business.Reporting to ...

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Business Intelligence Data Analyst Intern information

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

As of Aug 14, 2026, the average hourly pay for business intelligence data analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

To thrive as a Business Intelligence Data Analyst Intern, you need a solid grounding in data analysis, statistics, and business acumen, often supported by coursework or experience in fields like computer science, statistics, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and Excel, as well as experience with data management systems, is commonly expected. Strong problem-solving skills, attention to detail, and effective communication are valuable soft skills for presenting insights and collaborating with teams. These competencies enable interns to extract actionable insights from data, support business decision-making, and add value to their organizations.

What is the difference between Business Intelligence Data Analyst Intern vs Data Analyst?

AspectBusiness Intelligence Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often in tech or finance companiesFull-time role in various industries
Employer & Industry UsageUsed in companies with BI teams, entry-level positionWidely used across industries for data analysis tasks

The Business Intelligence Data Analyst Intern role is an entry-level position designed for students or recent graduates gaining experience in BI tools and data analysis. In contrast, a Data Analyst typically holds a full-time position with more responsibilities, requiring stronger technical skills and experience. Both roles are common in tech, finance, and consulting industries, but the internship offers a stepping stone into the data field.

What types of projects can a Business Intelligence Data Analyst Intern expect to work on during their internship?

As a Business Intelligence Data Analyst Intern, you can expect to work on projects that involve collecting, cleaning, and analyzing data to help drive business decisions. Typical tasks include building dashboards, preparing reports, and supporting data visualization efforts for various departments. Interns often collaborate with full-time analysts, data engineers, and business stakeholders, which provides a valuable opportunity to learn about real-world data challenges and business needs. These projects not only develop your technical skills but also give insight into how data influences strategy within the organization.

What does a Business Intelligence Data Analyst Intern do?

A Business Intelligence Data Analyst Intern supports the data analysis needs of an organization by collecting, cleaning, and analyzing business data. They help create reports and dashboards, identify trends, and provide insights that inform business decisions. Interns often work with data visualization tools and collaborate with teams to ensure accurate and meaningful data interpretation. Their role is crucial in helping organizations make data-driven decisions and improve overall performance.

What cities are hiring for Business Intelligence Data Analyst Intern jobs?

Cities with the most Business Intelligence Data Analyst Intern job openings:

What are the most commonly searched types of Business Intelligence Data Analyst jobs?

The most popular types of Business Intelligence Data Analyst jobs are:

What states have the most Business Intelligence Data Analyst Intern jobs?

States with the most job openings for Business Intelligence Data Analyst Intern jobs include:

Business Intelligence Analyst

Lamons (LGC EmployeeCo., LLC)

Houston, TX โ€ข On-site

Full-time

Re-posted 9 days ago


Job description

Recent graduates are encouraged to apply. Relevant internship, academic project, and hands-on experience will be considered. This position is fully on-site at our Houston headquarters. Lamons is conducting this search internally and is not partnering with staffing agencies or accepting unsolicited candidate submissions for this position.
Job Summary
The Business Intelligence Analyst designs, develops, and maintains business intelligence reports, dashboards, and data visualizations that support operational and strategic decision-making across the organization. This role partners with business leaders to gather reporting requirements, develop SQL-based data solutions, and deliver accurate, timely analytics through Tableau and other business intelligence tools. The Business Intelligence Analyst also supports reporting enhancements, data integrity, and emerging analytics technologies to improve business performance.
Job Duties and Responsibilities
  • Meet with business leaders and stakeholders to gather, analyze, and document reporting and dashboard requirements.
  • Design, develop, and maintain interactive dashboards, reports, and visualizations using Tableau.
  • Develop SQL queries to retrieve, analyze, and prepare data for reports, dashboards, and business intelligence solutions.
  • Develop and maintain data models to support enterprise reporting, including fact and dimension tables and star schema designs.
  • Validate data accuracy and ensure consistency across reports, dashboards, and source systems.
  • Develop and maintain standardized reports and dashboards that promote consistent reporting across departments.
  • Translate business requirements into scalable reporting solutions that provide meaningful operational and financial insights.
  • Consult with business leaders to understand reporting needs and recommend business intelligence solutions that support operational objectives.
  • Develop executive, operational, and departmental KPI dashboards to support performance monitoring and decision-making.
  • Partner with cross-functional teams to identify reporting opportunities and recommend process improvements through business intelligence solutions.
  • Document report specifications, SQL scripts, data definitions, and dashboard functionality.
  • Monitor and maintain existing reports and dashboards, implementing enhancements and resolving data or reporting issues as needed.
  • Support data integration and reporting initiatives involving SQL Server, PostgreSQL, Oracle, or other relational database platforms.
  • Assist with troubleshooting reporting, data, and system-related issues impacting business intelligence solutions.
  • Support the evaluation and implementation of AI-enabled reporting, automation, and analytics solutions, including the use of Python, APIs, and emerging AI technologies where applicable.
  • Stay current on business intelligence, analytics, and data visualization best practices and recommend improvements to reporting capabilities.
  • Perform other duties as assigned.

Skills
  • Working knowledge of SQL skills, including joins, Common Table Expressions (CTEs), window functions, stored procedures, and query optimization.
  • Proficiency in Tableau report and dashboard development.
  • Understanding of relational databases and data modeling concepts, including fact and dimension table design.
  • Ability to gather business requirements and translate them into technical reporting solutions.
  • Knowledge of business intelligence concepts, KPI development, and data visualization best practices.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent attention to detail with the ability to validate and ensure data accuracy.
  • Strong written and verbal communication skills with the ability to present technical information to non-technical stakeholders.
  • Ability to manage multiple projects and priorities while meeting established deadlines.
  • Exposure to Python programming, APIs, and emerging AI technologies is preferred.

Education
  • Required: Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics, Information Systems, or related field.
  • Recent graduates are encouraged to apply.
  • Preferred: Coursework or certification in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or Data Visualization.

Work Experience
  • Required: Experience developing reports, dashboards, or data visualization through academic projects, internships, or professional experience.
  • Required: Experience working with relational databases such as Microsoft SQL Server, PostgreSQL, or Oracle.
  • Preferred: Experience gathering business requirements and delivering reporting solutions to business stakeholders.
  • Preferred: Experience supporting manufacturing, industrial, or operations - focused reporting environments.
  • Preferred: Experience with Python, AI-enabled analytics, Open AI, Azure AI, or similar technologies.

Physical Requirements
  • Prolonged periods of sitting and working at a computer.
  • Must be able to communicate effectively in person, by telephone, and through virtual meeting platforms.
  • Must be able to lift up to 15 pounds occasionally.