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Intern Business Intelligence Engineer Jobs (NOW HIRING)

Hillwood

Senior Business Intelligence Engineer

Dallas, TX

$50.50 - $65.50/hr

Hillwood IT is seeking an experienced Senior Business Intelligence Engineer to join our team in Dallas, TX to play a highvisibility role at the center of the company's data strategy, with primary ...

Humana, Inc.

Medicaid Business Intelligence Engineer

$52.25 - $67.75/hr

The Business Intelligence Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. Fully Remote Medicaid ...

Amazon

Business Intelligence Engineer, MEDICI

Newark, NJ · On-site

$53.25 - $69.25/hr

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you'll serve as a data-driven decision enabler for our senior leadership team. You'll be responsible for designing, implementing, and ...

Buckle

Business Intelligence Engineer

Kearney, NE

$46 - $59.75/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Business Intelligence and Reporting * Create, automate and manage integrations with existing ...

Luminace

Intern, Business Intelligence

Manhattan, NY · On-site

$17.25 - $21.75/hr

Business Law - knowledge of corporate structures, fiduciary duties, business agreements, and regulatory compliance * Labor Law - exposure to employment relationships, workplace rights, and HR-related ...

Blue Origin

Busines Intelligence Engineer III

Seattle, WA · On-site

$58 - $75.50/hr

Business Intelligence Engineer III This role supports the SFB Data Analytics & Technology team, which provides critical data analytics and technology development capabilities to Blue Origin ...

Amazon

Business Intelligence Engineer, MEDICI

Newark, NJ · On-site

$53.25 - $69.25/hr

ABOUT THIS ROLE As a Business Intelligence Engineer at Audible, you'll serve as a data-driven decision enabler for our senior leadership team. You'll be responsible for designing, implementing, and ...

Blue Origin

Busines Intelligence Engineer III

Huntsville, AL · On-site

$50.25 - $65.25/hr

Business Intelligence Engineer III This role supports the SFB Data Analytics & Technology team, which provides critical data analytics and technology development capabilities to Blue Origin ...

The Buckle

Business Intelligence Engineer

Kearney, NE · On-site

$46 - $59.75/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Business Intelligence and Reporting * Create, automate and manage integrations with existing ...

Buckle

Business Intelligence Engineer

Kearney, NE · On-site

$46 - $59.75/hr

Summary The BI Engineer utilizes industry standard data tools and methods for extracting ... Business Intelligence and Reporting * Create, automate and manage integrations with existing ...

TekWissen LLC

Business Intelligence Engineer IV

Seattle, WA · On-site

$58 - $75.50/hr

Business Intelligence Engineer IV Location: Seattle, WA 98109 Duration: 5 Months Job Type: Contract Work Type: Onsite * Client Health Services (AHS) is on a mission to make it dramatically easier for ...

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

As of Jun 7, 2026, the average hourly pay for intern business intelligence engineer in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What does an Intern Business Intelligence Engineer do?

An Intern Business Intelligence Engineer assists with collecting, analyzing, and interpreting data to help organizations make informed business decisions. Their responsibilities often include building dashboards, preparing reports, and supporting data warehouse management under the guidance of senior BI engineers. They may also help with data cleaning, automation of data processes, and learning how to use BI tools such as Tableau, Power BI, or SQL. The role is ideal for students or recent graduates interested in data analysis and business strategy. Interns gain hands-on experience in real-world business data environments.

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

To thrive as an Intern Business Intelligence Engineer, you need strong analytical skills, a foundation in data analysis, and familiarity with SQL, data modeling, or statistics, often supported by coursework in computer science, information systems, or a related field. Proficiency with BI tools such as Tableau, Power BI, or Looker, and basic knowledge of programming languages like Python or R, are typically expected. Attention to detail, problem-solving ability, and effective communication will help you translate complex data insights into actionable business recommendations. These skills and qualities are vital for transforming raw data into meaningful information that drives informed business decisions.

What types of projects and responsibilities can an Intern Business Intelligence Engineer expect during their internship?

As an Intern Business Intelligence Engineer, you’ll typically assist with designing, developing, and maintaining data models, dashboards, and reports that support business decision-making. Your daily tasks may include analyzing large data sets, working with SQL or data visualization tools, and collaborating closely with data analysts, engineers, and business stakeholders. Interns often get hands-on experience with real-world business problems, learn best practices in data management, and may even contribute to process automation or reporting improvements. This role provides a valuable opportunity to develop technical skills, gain exposure to industry-standard BI tools, and understand how data-driven insights influence business strategies.

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

AspectIntern Business Intelligence EngineerData Analyst Intern
Required SkillsSQL, data modeling, BI tools, basic programmingExcel, SQL, data visualization, statistical analysis
Work EnvironmentDeveloping dashboards, data pipelines, supporting BI solutionsData cleaning, reporting, analyzing datasets
Industry UsageTech, finance, consulting firms with BI teamsMarketing, retail, healthcare sectors

Intern Business Intelligence Engineers focus on building and maintaining BI tools and data pipelines, often requiring knowledge of SQL and data modeling. Data Analyst Interns primarily analyze datasets and create reports using Excel and visualization tools. Both roles are common in data-driven industries but differ in technical scope and responsibilities.

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Intern Business Intelligence Engineer jobs near you
Infographic showing various Intern Business Intelligence Engineer job openings in the United States as of May 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.
Business Intelligence Engineer

Business Intelligence Engineer

SID Global Solutions

Bellevue, WA • On-site

$57.25 - $74.25/hr

Full-time

Posted yesterday

Job description

Job Description
The ideal Business Intelligence Engineer (BIE) candidate possesses foundational knowledge spanning data engineering, science, and business analysis. The BIE specializes in data lineage: including the technical systems by which data is generated, how metrics are aggregated, and the extraction and intuitive visualization of deep insights from data.
The candidate must be conversant in both technical and business language, as problems may be loosely defined or structured. Strong communication skills are essential, with equal ability to work with software development engineers and business owners. The role requires functioning with a high level of autonomy, solving challenging problems, and identifying paths to overcome roadblocks.
The BIE gathers product requirements from stakeholders and iterates on feedback from internal end-users. The BIE reverse-engineers existing processes and products to support cross-platform migration efforts.
The position requires a passion for automation and clean, streamlined process design, drawing upon advanced analytical, critical thinking, and problem-solving skills, along with software development experience and an aptitude for creating maintainable, highly reliable, distributed systems.
Requirements
Key Job Responsibilities
  • Ownthe design, development, and maintenance of datasets, reports, analyses,and dashboards to drive key business decisions
  • Performdata extraction, manipulation, and production from database tables
  • Design,implement, and validate complex logic using queries
  • Automateand improve data pipelines, analytical and reporting processes
  • Improvecode quality, legibility, and optimize BI processes (speed, cost,reliability, etc.)
  • Translatecomplex or ambiguous business problem statements into analysisrequirements
  • Respondto ad-hoc data query requests to deep dive into unusual patterns andconduct exploratory data analysis, providing insights and recommendations
  • Communicateideas effectively with customers, stakeholders, and peer teams, bothverbally and in writing
  • Discoverthe business intent of stakeholders, estimate and communicate feasibility,and create roadmaps for solutions
  • Balancecustomer requirements with technology requirements, understanding systemlimitations, scaling factors, boundary conditions, and reasons fortechnical decisions
  • Establishworking knowledge of business context to recommend BI alternatives andanticipate future requests
  • Considerlegacy of created processes, limiting the use of short-term workarounds
  • Identifyrisks and bring them to the attention of team and stakeholders withmitigation plans before they become roadblocks
  • Stayabreast of changes to underlying data sources and dependent internalengineering teams to minimize outages and downtime of owned systems
  • Reportkey insight trends, using statistical methods (e.g., regression) toaddress complex business problems while understanding these methods'assumptions and limitations

Basic Qualifications
• 2+ years experience with SQL, including data mining, ETL, and using databases in a business environment with large-scale, complex datasets
• 2+ years experience with data visualization using QuickSight, Tableau, PowerBI, or similar tools (QuickSight preferred)
• Proficiency with Microsoft Excel and/or Smart sheet
• Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, or equivalent quantitative field
Preferred Qualifications
• Expert level Microsoft Excel skills (complex formulas, PivotTables, Macros, Visual Basic/C#)
• Proficiency with Smart sheet Premium Features (DataTable, Dynamic View, Data Shuttle, Salesforce Connector, etc.)
• Experience with CRMs (Salesforce preferred - SOQL/Lightning report opportunities)
• Experience with scripting languages for data processing and modeling (e.g., Python)
• Experience with statistical analysis packages such as R, SAS, or Matlab
• Experience analyzing and interpreting data using Redshift, Oracle, NoSQL etc.
• Experience in construction or engineering industries
• Experience in technical documentation, including maintaining SOPs, learning & training documentation, user best-practice guides, and PR/FAQs
• Experience with Geo-spatial analytics and software (e.g., ArcGIS)

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