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Data Analytics Internship Jobs (NOW HIRING)

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

The Role As a Data Analytics Intern you will help build and maintain various analytics tools and ... This position is a summer internship. The ideal candidate will be a self-starter, a natural problem ...

... prior roles, internships, or coursework. * Experience with Python, R, or another scripting ... Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 ...

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Data Analytics Internship information

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How much do data analytics internship jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data analytics internship 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 the difference between Data Analytics Internship vs Data Analyst?

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What type of internship can I get for data analyst?

A data analytics internship typically involves working with data analysis tools like Excel, SQL, or Python to support business decision-making. Interns often assist with data collection, cleaning, visualization, and reporting, gaining practical experience in data-driven environments. These internships are usually offered by companies across various industries and may require basic knowledge of statistics and data tools.

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

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What are the big 4 internships?

The Big 4 internships typically refer to internship programs at Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas like audit, consulting, tax, and advisory, providing valuable experience and potential pathways to full-time roles in the field of data analytics and finance.

Can I do a data analyst internship?

Yes, a data analyst internship is available for students or entry-level candidates interested in developing skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships typically require relevant coursework or basic knowledge of data concepts and may be part-time or summer positions to gain practical experience.

What would a data analyst intern do?

A data analyst intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may help prepare reports or visualizations under supervision.

What is a Data Analytics Internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What types of projects do Data Analytics Interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.
More about Data Analytics Internship jobs
What cities are hiring for Data Analytics Internship jobs? Cities with the most Data Analytics Internship job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What states have the most Data Analytics Internship jobs? States with the most job openings for Data Analytics Internship jobs include:
Infographic showing various Data Analytics Internship job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Intern, Data Analytics

Intern, Data Analytics

EV Realty

San Francisco, CA โ€ข On-site

Internship

Re-posted 28 days ago


Job description

The Company
At EV Realty, we're building the infrastructure backbone that powers the electrification of next generation commercial fleets - one high-powered charging hub at a time.
We develop, own, and operate purpose-built EV charging hubs designed to solve the critical barrier to fleet electrification: access to reliable, low-cost, scalable grid power. Our Powered Propertiesยฎ are strategically located to serve fleet customers where they operate, providing dedicated, secure charging solutions where and when they need it most. We build with reliability and scale in mind, delivering the infrastructure that mission-critical commercial fleets require to keep moving.
We believe in transparency, ownership, and building things the right way - for our customers and for our team. If you're excited to help build the new era of commercial transportation, we'd love to meet you.
The Role
As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer acquisition, and directly enable EV Realty's ability to operate in a wide range of markets. This role will support the vision, strategy roadmap, development, and continued improvement of these tools. The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a summer internship.
The ideal candidate will be a self-starter, a natural problem solver who is highly adaptable, and an effective communicator; they will have a strong programmatic approach but also the flexibility and creativity to source, interpret, and utilize data in unconventional ways.
This role will be located in San Francisco, CA or Salt Lake City, UT.
Key Responsibilities
The Data Analytics Intern is a summer position which will contribute to various projects that support EV Realty's analytics tools and processes.
This includes:
  • Assist with data pipelines, transformations, and data preparation for integration with EV Realty's backend infrastructure and tools
  • Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows
  • Query SQL databases and leverage GIS to support business analytics and reporting needs
  • Document analytical workflows, processes, data definitions, and research in a clear and effective manner
  • Assist with LLM and AI innovation initiatives to enhance end-user experiences
  • Help create niche data products as needed to support internal team objectives
  • Work with cross-functional leaders and experts to establish best practices and identify opportunities to improve the product development and delivery process
  • Effectively communicate key insights from analyses, methodologies, and data products to internal teams

Knowledge and Skills
  • Programming Proficiency and experience in Python, SQL, or similar languages. Python and SQL preferred
  • Aptitude for GIS-based techniques, data structures, and software such as CARTO, ArcGIS, or QGIS
  • Analytical experience with Excel
  • Cloud infrastructure knowledge with Snowflake, Databricks or similar platform
  • Strong analytical skills and innate problem-solving capabilities
  • Excellent communication and cross-functional collaboration abilities
  • Must be comfortable in an unstructured, fast-moving, and constantly evolving high-growth environment
  • Naturally accountable, responsible, and self-motivated. Independent workflow must be effectively harmonized with remote collaboration
  • Familiarity with the transportation, energy or broader infrastructure sectors is a plus but not required

Qualifications
  • Currently pursuing a Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields
  • Junior or Senior standing preferred
  • GPA of 3.0 or higher