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Business Data Analyst Intern Jobs (NOW HIRING)

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

$69/hr

Looking for a Business Data Analyst with 3-7 Years of overall experience. * The primary focus of ... Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one ...

IntelliPro Group Inc.

Business Data Analyst

Plano, TX · On-site

Looking for a Business Data Analyst with 3-7 Years of overall experience. * The primary focus of ... Relevant professional work experience (paid, non-academic, non-intern) OR an advanced degree in one ...

Relevance Lab

Business Data Analyst

* Experience as Data Product Owner or business data analyst in Agile environment. * Very strong in SQL-who has done some Product Owner work or has been a Business Data Analyst. The initial interview is ...

Berkley

Business and Data Analyst Intern

Hartford, CT · On-site

Responsibilities We are seeking a motivated and detail-oriented Business and Data Analyst Intern to apply the knowledge of business practices in a fast-paced, real-world environment. The intern will ...

Apex Informatics

Business Data Analyst

Philadelphia, PA · On-site

Job Title- Business Data Analyst Location- Philadelphia, PA (Hybrid) Duration- 06 Months (C2H Position) Visa- USC/GC/EAD Job Details: The Business Data Analyst role on the EIM - Data Warehouse team ...

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

As of Jun 9, 2026, the average hourly pay for business 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 types of projects can a Business Data Analyst Intern expect to work on, and how do they typically contribute to the team?

As a Business Data Analyst Intern, you can expect to work on projects involving data collection, cleaning, and analysis to support business decision-making. You might assist with creating dashboards, preparing reports, or performing ad-hoc analyses under the guidance of senior analysts. Interns often collaborate with cross-functional teams, such as marketing or operations, to gather requirements and understand business needs. This role offers a great opportunity to develop analytical and communication skills while making a tangible impact by providing actionable insights.

What does a Business Data Analyst Intern do?

A Business Data Analyst Intern assists in collecting, processing, and analyzing data to help organizations make informed business decisions. They typically work with large datasets, create reports, and support senior analysts in identifying trends and patterns. Interns may also use data visualization tools and statistical techniques to present their findings. Their work helps improve business processes and supports strategic planning.

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

AspectBusiness Data Analyst InternData Analyst
Required CredentialsTypically pursuing or recent graduate, some internships may require coursework in data analysis or related fieldsBachelor's or higher in data analysis, statistics, or related fields; certifications like SQL or Excel are common
Work EnvironmentInternship setting, often in corporate or consulting firms, with mentorship and trainingFull-time professional role, often in teams, with more responsibilities and independence
Employer & Industry UsageUsed by companies across industries for entry-level training and talent developmentUsed across industries for ongoing data analysis, reporting, and decision support

The main difference is that a Business Data Analyst Intern is an entry-level, temporary position aimed at gaining experience, while a Data Analyst is a full-time role with greater responsibilities and independence. Interns typically work under supervision, whereas Data Analysts handle complex projects independently.

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

To thrive as a Business Data Analyst Intern, you need strong analytical skills, proficiency in statistics, and a background in business or related fields, often supported by coursework or internships. Familiarity with Excel, SQL, data visualization tools like Tableau, and basic programming (e.g., Python or R) is typically required. Attention to detail, problem-solving capabilities, and effective communication set candidates apart in this role. These skills allow you to interpret data accurately, provide actionable insights, and clearly communicate findings to stakeholders, driving informed business decisions.
What cities are hiring for Business Data Analyst Intern jobs? Cities with the most Business Data Analyst Intern job openings:
What are the most commonly searched types of Business Data Analyst jobs? The most popular types of Business Data Analyst jobs are:
What states have the most Business Data Analyst Intern jobs? States with the most job openings for Business Data Analyst Intern jobs include:
Business Data Analyst Intern jobs near you
Infographic showing various Business Data Analyst Intern job openings in the United States as of May 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Manufacturing Data Analyst Intern

Zone 5 Technologies

San Luis Obispo, CA

Other

Posted 12 days ago

Job description

We are seeking a detail-oriented Manufacturing Data Analyst Intern to support manufacturing reporting, data analysis, and operational visibility initiatives across production environments. The ideal candidate will assist with building reports and dashboards, maintaining clean and accurate manufacturing data, and supporting Manufacturing Execution System (MES) workflows and continuous improvement efforts. This role will serve as a supporting member of the Manufacturing Execution Systems team, working closely with production, quality, engineering, and operations personnel. The ideal candidate will have strong analytical and organizational skills, an interest in manufacturing systems and operations, and the ability to work collaboratively in a fast-paced, hands-on environment. 

KEY RESPONSIBILITIES: 

  • Support manufacturing reporting and KPI tracking activities  
  • Assist with SQL queries, data extraction, and data validation efforts  
  • Build and maintain Power BI dashboards and recurring operational reports  
  • Support MES-related data workflows and manufacturing system activities  
  • Help maintain data accuracy, structure, and data hygiene standards  
  • Analyze production and operational data to identify trends and improvement opportunities  
  • Assist with documenting reporting workflows and data processes  
  • Collaborate with production, quality, engineering, and operations teams to support data-driven decision making  
  • Support ad hoc analysis and operational improvement initiatives as needed  
  • Work onsite with manufacturing teams and systems in a production environment  

REQUIRED QUALIFICATIONS: 

  • Pursuing a Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Business Analytics, Information Systems, Data Analytics, Operations Management, or related field  
  • Basic understanding of SQL and relational databases  
  • Experience with Microsoft Excel and data analysis concepts  
  • Familiarity with Power BI or similar data visualization/reporting tools  
  • Strong attention to detail and organizational skills  
  • Ability to manage multiple tasks and changing priorities in a fast-paced environment  
  • Strong analytical and systems-thinking mindset  
  • Self-starter with willingness to learn manufacturing systems and workflows  
  • Strong written and verbal communication skills  
  • U.S. Citizenship  

PREFERRED QUALIFICATIONS: 

  • Exposure to manufacturing, production, or industrial environments  
  • Familiarity with MES, ERP, or QMS systems  
  • Experience creating dashboards or visual reports  
  • Exposure to PostgreSQL, SQL Server, or similar database platforms  
  • Basic scripting or automation experience (Python or similar) 

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