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Internship Data Analyst Apprenticeship Jobs (NOW HIRING)

Benda Infotech

Data Analyst

Chicago, IL

Internship or academic project experience in data analysis or business intelligence. * Experience creating dashboards and executive reports. * Knowledge of KPIs, business metrics, and reporting ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... apprenticeship, and contract job assignments. We represent clients who support skills-first ...

Jobs for Humanity

Data Analyst

New York, NY · Remote

$55 - $60/hr

Company Name: YUPRO Placement Data Analyst This is a contract opportunity. This is a remote ... apprenticeship, and contract job assignments. We represent clients who support skills-first ...

Gartner

Interns work closely with IPA leadership to structure problems, identify data sources, perform analysis, and communicate findings. Projects will include collaborative, team-based work as well as ...

Posted today

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting Familiarity with ...

Menlo Ventures

Data Analyst

Oakland, CA · On-site

$120 - $172/hr

Up to 4 years of experience (including internships) turning large datasets into actionable business ... to data analysis problems. * Understanding of fundamentals of relational databases and data ...

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How much do internship data analyst apprenticeship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship data analyst apprenticeship 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 is an internship data analyst apprenticeship?

An Internship Data Analyst Apprenticeship is a structured program that combines on-the-job training with classroom instruction to help individuals develop essential data analysis skills. Participants work with experienced analysts to learn how to collect, clean, and interpret data using various tools and techniques. The apprenticeship typically provides hands-on experience with real datasets, exposure to industry-standard software like Excel, SQL, and Python, and may include mentorship and feedback. Upon completion, apprentices are well-equipped for entry-level data analyst roles or further specialization in data science.

What types of projects or tasks can I expect to work on as an internship data analyst apprentice?

As an Internship Data Analyst Apprentice, you can expect to work on a variety of projects such as cleaning and preparing datasets, creating visualizations, and assisting in generating reports for business stakeholders. You'll often collaborate with experienced data analysts and team members from other departments, gaining practical experience with real-world data challenges. This role provides a structured learning environment where you'll receive feedback and mentorship, helping you develop technical skills in tools like Excel, SQL, or Python. Over time, you may also have opportunities to contribute to larger analytics initiatives and present findings to your team.

What are the key skills and qualifications needed to thrive as an internship data analyst apprentice, and why are they important?

To thrive as an Internship Data Analyst Apprentice, you need a solid grounding in statistics, data interpretation, and basic programming, often supported by coursework or a degree in a related field. Familiarity with data analysis tools such as Excel, SQL, Python, or Tableau is typically required, and certifications like Google Data Analytics can be beneficial. Strong analytical thinking, attention to detail, and effective communication set outstanding apprentices apart. These skills are crucial for accurately interpreting data, delivering actionable insights, and collaborating effectively within a team.

What is the difference between Internship Data Analyst Apprenticeship vs Data Analyst?

AspectInternship Data Analyst ApprenticeshipData Analyst
CredentialsTypically pursuing or recent graduate, may require basic technical skillsOften requires a degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporary, supervised learningFull-time, permanent role in various industries
Employer UsageUsed by companies to train and evaluate potential future employeesHired to analyze data, generate reports, and support decision-making

The Internship Data Analyst Apprenticeship is a training program designed for beginners to gain practical experience, while a Data Analyst is a full-time professional responsible for analyzing data and providing insights. The apprenticeship serves as a stepping stone into the data analysis field, often leading to a permanent Data Analyst role.

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Internship Data Analyst Apprenticeship jobs near you
Infographic showing various Internship Data Analyst Apprenticeship job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Analyst

Benda Infotech

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Role Summary

We are seeking a detail-oriented and analytical Data Analyst to join our growing team. The ideal candidate will transform complex data into meaningful insights that support strategic business decisions and improve operational performance. You will work closely with business stakeholders, product teams, and technical teams to analyze data, build dashboards, identify trends, and deliver actionable recommendations.

This is an excellent opportunity for recent graduates and early-career professionals who are passionate about data analytics, business intelligence, and data-driven decision-making.

Key Responsibilities
  • Collect, clean, validate, and analyze large datasets from multiple sources.
  • Develop interactive dashboards and reports using Power BI, Tableau, or similar BI tools.
  • Write efficient SQL queries to extract, manipulate, and analyze data.
  • Perform exploratory data analysis to identify trends, patterns, and business opportunities.
  • Create visualizations that communicate insights to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions.
  • Monitor key performance indicators (KPIs) and prepare recurring business reports.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Automate recurring reports and improve existing reporting processes.
  • Document data models, business rules, and analytical methodologies.
  • Support ad hoc analysis and provide recommendations based on business needs.
Qualifications & Requirements Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Business Analytics, Information Systems, Economics, or a related field.
  • 0–2 years of experience in Data Analytics, Business Intelligence, or Reporting (Recent Graduates are encouraged to apply).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications
  • Internship or academic project experience in data analysis or business intelligence.
  • Experience creating dashboards and executive reports.
  • Knowledge of KPIs, business metrics, and reporting frameworks.
  • Familiarity with Agile methodologies and project collaboration tools.
  • Exposure to cloud data platforms such as AWS, Azure, or Google Cloud is a plus.
  • Experience working with structured and unstructured datasets is an advantage.
Soft Skills
  • Critical Thinking
  • Analytical Mindset
  • Problem Solving
  • Attention to Detail
  • Communication Skills
  • Time Management
  • Team Collaboration
  • Adaptability
  • Curiosity and Continuous Learning
What We Offer
  • Competitive salary and comprehensive benefits package
  • Annual performance bonus eligibility
  • Medical, dental, and vision insurance
  • Paid holidays and generous paid time off
  • Retirement savings plan with employer contributions
  • Professional development and certification support
  • Mentorship from experienced data professionals
  • Exposure to enterprise-level analytics and business intelligence projects
  • Collaborative and innovative work environment
  • Career growth opportunities