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Internship Data Analysis Excel Jobs (NOW HIRING)

Advisors Excel

Annuity Marketing Data Intern

Topeka, KS · On-site +1

... Advisors Excel. This role will assist with a multitude of projects but primarily focuses on ... analysis efforts for the Annuity Marketing division. This internship is ongoing, not a seasonal or ...

Advisors Excel

Annuity Marketing Data Intern

Topeka, KS · On-site

... Advisors Excel. This role will assist with a multitude of projects but primarily focuses on ... analysis efforts for the Annuity Marketing division. This internship is ongoing, not a seasonal or ...

Robert Half

Data Analysis Manager

Washington, DC · On-site

$80K - $100K/yr

... Excel and PowerPoint. All interested candidates in the Data Analysis Manager opportunity and other full time opportunities in the Washington, D.C. area please send your resume to Justin Decker via ...

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

Proficient in Microsoft Office and familiar with data analysis tools (Excel, R, Python, SQL), basic ... Internships are non-exempt positions and are not eligible for employee benefits. Equal Employment ...

Child and Family Services

Data Intern

Cheektowaga, NY · On-site

Proficiency in Microsoft Excel and basic SQL. * Familiarity with dashboarding tools (e.g., Power BI ... Interest in data analytics and its impact on organizational outcomes. Internship Details

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How much do internship data analysis excel jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for internship data analysis excel 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 an Internship Data Analysis Excel, and why are they important?

To succeed in an Internship Data Analysis Excel role, you generally need strong analytical thinking, attention to detail, and a solid understanding of basic statistics, often supported by coursework in mathematics or business. Proficiency in Microsoft Excel, including functions like VLOOKUP, pivot tables, and data visualization tools, is crucial, and familiarity with related software or certifications can be a plus. Effective communication, problem-solving, and teamwork skills help interns translate data insights into actionable recommendations. These abilities ensure accurate data handling and valuable contributions to project outcomes in a collaborative business environment.

What is the difference between Internship Data Analysis Excel vs Data Analyst?

AspectInternship Data Analysis ExcelData Analyst
Required SkillsBasic Excel, data entry, introductory analysisAdvanced Excel, SQL, data visualization, statistical analysis
Work EnvironmentInternship setting, entry-level projectsFull-time professional role, ongoing projects
CertificationsNot mandatory, often includes courseworkOptional certifications like Microsoft Excel Expert or Data Analysis certifications
Industry UsageEducational, training, entry-level positionsBusiness, finance, marketing, healthcare, and more

Internship Data Analysis Excel typically involves entry-level tasks using basic Excel skills during a temporary internship, focusing on learning and support roles. Data Analysts are full-time professionals with advanced skills, responsible for complex data interpretation and decision-making across various industries.

What are Internship Data Analysis Excel positions?

Internship Data Analysis Excel positions are entry-level roles where interns use Microsoft Excel to collect, organize, and analyze data for a company or organization. These internships help students or recent graduates gain hands-on experience with data manipulation, reporting, and visualization using Excel tools such as formulas, pivot tables, and charts. Interns often work closely with data analysts or business teams to support decision-making processes. The role is ideal for those looking to build foundational skills in data analysis and Excel before pursuing advanced analytics careers.

What types of projects or tasks can an intern expect to work on in a Data Analysis Excel internship?

As a Data Analysis Excel intern, you can expect to work on a variety of projects involving data collection, cleaning, and analysis using Excel's advanced functions such as PivotTables, VLOOKUP, and data visualization tools. Typical tasks may include preparing reports, automating repetitive processes with formulas or macros, and supporting team members with data-driven decision-making. You'll often collaborate with analysts, managers, and other interns, gaining exposure to real-world business challenges and developing practical technical and communication skills. This hands-on experience is valuable for building a strong foundation in data analytics and can open doors for more advanced roles in the field.
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Internship Data Analysis Excel jobs near you
Infographic showing various Internship Data Analysis Excel job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Undergraduate Intern - Quantitative Data & Finance (Cross-Disciplinary

Risk Analytics Company

Cambridge, MA

Full-time

Posted 12 days ago

Job description

Position Overview
We are seeking an undergraduate student to support our Finance and IT teams with a focus on data analysis and quantitative problem-solving. This internship provides hands-on experience working with financial datasets, basic modeling, and tools used in data-driven decision-making.
We welcome candidates from analytical and cross-disciplinary backgrounds—including mathematics, applied mathematics, statistics, economics, engineering, computer science, physics, astrophysics, quantum computing, biotech and other data-driven fields—who are interested in applying quantitative thinking to real-world business and financial problems.
Key Responsibilities
  • Work with structured datasets to support basic financial and operational analysis 
  • Assist in organizing, cleaning, and validating data for reporting and modeling 
  • Build and maintain spreadsheets and simple analytical models in Excel 
  • Support development of reports, dashboards, and visualizations 
  • Identify patterns, inconsistencies, or trends in data 
  • Assist with automation or efficiency improvements using tools like Excel, SQL, or Python (where applicable) 
  • Collaborate with team members on data, finance, and technology-related tasks 
  • Apply quantitative or analytical approaches from coursework to practical business problems 
Required Qualifications
  • Currently pursuing a Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Applied Mathematics, Physics, Astrophysics, Statistics, Economics, Computer Science, Quantum Computing, Engineering, Finance, Biotech, or other data-driven discipline) 
  • Strong problem-solving and analytical thinking skills 
  • Familiarity with: 
    • Microsoft Excel (formulas, basic functions) 
    • Microsoft Office (Word, PowerPoint) 
  • Comfort working with numbers and structured data 
  • Strong attention to detail and willingness to learn 
Preferred Qualifications
  • Exposure to programming or data tools (Python, SQL, R, or similar) through coursework or projects 
  • Experience with Excel functions (e.g., VLOOKUP, pivot tables) 
  • Introductory knowledge of statistics, probability, or data analysis 
  • Interest in financial markets, data analytics, or fintech 
  • Coursework or projects involving: 
    • Data analysis or visualization
  • Mathematical modeling 
  • Machine learning (introductory) 
  • Computational or applied problem-solving 
What You’ll Gain
  • Hands-on experience applying quantitative skills in a real-world business environment 
  • Exposure to financial data, analytics workflows, and decision-making processes 
  • Opportunity to build foundational data and modeling skills 
  • Mentorship and professional development 
  • Insight into career paths in quantitative finance, data science, and analytics 
Internship Details
  • Summer 2026, with possible extensionÂ