1

Temporary Data Analyst Intern Jobs in Berkeley, CA

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 ...

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 ...

Data Analytics Intern

Concord, CA ยท On-site

$60K - $70K/yr

... actional analytics to improve operational efficiencies. We are the proud partner of over 30 ... Position Overview: retailcloud is seeking a Data Anyltics Intern to work with large and complex ...

Data Analyst IV

San Francisco, CA ยท On-site

$187K - $220K/yr

Senior Data Systems Architect & Analytics Lead Role Overview We are seeking a Senior Data Systems ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

next page

Showing results 1-20

Temporary Data Analyst Intern information

See Berkeley, CA salary details

$14

$27

$51

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

As of Aug 28, 2026, the average hourly pay for temporary data analyst intern in Berkeley, CA is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $30.00 per hour, depending on experience, location, and employer.

What does a temporary data analyst intern do?

A Temporary Data Analyst Intern assists with collecting, processing, and analyzing data to support business decisions, usually for a set period such as a summer or semester. They may help with data cleaning, creating reports, and visualizing trends under the supervision of senior analysts. This role is designed to provide hands-on experience with data tools and techniques, allowing interns to apply theoretical knowledge learned in school to real-world projects. Interns often gain exposure to industry-standard software and can contribute to meaningful company initiatives.

What are the key skills and qualifications needed to thrive as a temporary data analyst intern, and why are they important?

To thrive as a Temporary Data Analyst Intern, you need foundational knowledge of statistics, data analysis, and proficiency in Excel or similar spreadsheet software, often supported by coursework in data science or a related field. Familiarity with tools like SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong attention to detail, curiosity, and effective communication skills help interns interpret data and convey insights clearly. These abilities are crucial for accurately supporting business decisions and gaining valuable experience in a data-driven environment.

What types of projects can a temporary data analyst intern expect to work on, and how do these projects support the broader team?

As a Temporary Data Analyst Intern, you can expect to work on projects such as cleaning and preparing datasets, generating reports, and creating visualizations to help the team make data-driven decisions. Your work will often directly support senior analysts and business stakeholders by providing them with actionable insights from raw data. This role typically involves collaborating with various departments, such as marketing or finance, to assist with ongoing initiatives or special projects. It's a great opportunity to gain hands-on experience with industry-standard tools and methodologies, while also learning how data analysis impacts business outcomes.

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

AspectTemporary Data Analyst InternData Analyst
CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data analysis, statistics, or related field
Work EnvironmentInternship setting, often temporary or project-basedFull-time or part-time professional role in various industries
Employer UsageInternship programs, entry-level positions, or training rolesEstablished companies, requiring more experience and responsibility
Search/Comparison IntentUnderstanding entry-level or internship opportunitiesSeeking full-time data analysis roles

The main difference between a Temporary Data Analyst Intern and a Data Analyst is experience and employment status. Interns are usually students or recent graduates gaining practical experience, often in a temporary or internship capacity. Data Analysts are typically full-time professionals with more experience, responsible for ongoing data analysis tasks. Both roles require similar foundational skills, but the scope and expectations differ based on experience level and employment type.

What cities near Berkeley, CA are hiring for Temporary Data Analyst Intern jobs?

Cities near Berkeley, CA with the most Temporary Data Analyst Intern job openings:

Intern, Data Analytics

EV Realty

San Francisco, CA โ€ข On-site, Remote

Internship

Re-posted 8 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 Properties 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:ย 

  • 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
apply for this job