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Internship Jr Data Analyst Jobs in Berkeley, CA (NOW HIRING)

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 ...

They are seeking a Junior Data Scientist to analyze complex data sets, develop AI models, and collaborate with stakeholders to deliver data-driven outcomes. Responsibilities : • Responsible for ...

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 ...

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Internship Jr Data Analyst information

See Berkeley, CA salary details

$14

$27

$51

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

As of Sep 6, 2026, the average hourly pay for internship jr data analyst 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 an Internship Jr Data Analyst do?

An Internship Jr Data Analyst assists with collecting, cleaning, and analyzing data to help organizations make informed decisions. They typically work under the supervision of senior analysts, learning how to use various data analysis tools and software. Interns may be involved in creating reports, visualizing data, and supporting ongoing projects. This role provides hands-on experience and helps interns develop practical skills in data management and analytics.

What are the key skills and qualifications needed to thrive as an Internship Jr Data Analyst?

To thrive as an Internship Jr Data Analyst, a solid understanding of statistics, data cleaning, and foundational knowledge of data analysis—often gained through coursework in mathematics, computer science, or a related field—is essential. Familiarity with tools like Microsoft Excel, SQL, and introductory programming languages such as Python or R, as well as experience with data visualization software, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These competencies are crucial for producing accurate analyses, supporting business decisions, and contributing positively to team projects in a fast-paced environment.

What are some typical projects or tasks an Internship Jr Data Analyst might work on during their internship?

As an Internship Jr Data Analyst, you can expect to work on a variety of projects such as cleaning and organizing large datasets, building basic reports and dashboards, and assisting with data visualization efforts. You'll often support senior analysts by preparing data for analysis, running queries, and helping to identify trends or patterns. Collaboration with team members from other departments, such as marketing or operations, is common as you provide insights or help answer business questions. This hands-on experience is valuable for developing your technical skills and understanding how data-driven decisions are made within an organization.

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

AspectInternship Jr Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a related degree; no extensive certifications neededBachelor's degree in data-related field; certifications like SQL, Excel, or data analysis tools are common
Work EnvironmentInternship setting, often in a corporate or tech company, supervised by senior staffFull-time professional role, often in teams handling data projects independently or collaboratively
Employer & Industry UsageUsed by companies for training and entry-level talent development in industries like finance, tech, marketingFull-fledged role in various industries including finance, healthcare, marketing, and technology

The main difference between an Internship Jr Data Analyst and a Data Analyst is the experience level and scope of responsibilities. Internships are designed for learning and gaining initial exposure, while Data Analysts handle more complex data tasks independently. Interns often work under supervision, whereas Data Analysts operate as part of a professional team with greater autonomy.

What are popular job titles related to Internship Jr Data Analyst jobs in Berkeley, CA?

For Internship Jr Data Analyst jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Internship Jr Data Analyst jobs in Berkeley, CA look for?

The top searched job categories for Internship Jr Data Analyst jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Internship Jr Data Analyst jobs?

Cities near Berkeley, CA with the most Internship Jr Data Analyst job openings:

$120 - $172/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Key responsibilities

  • Transform large datasets into actionable metrics and attributes using SQL and Spark.

  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.

  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.


Job description

Everlaw is seeking a Data Analyst to transform raw data into actionable insights. This full‑time, exempt position is located onsite in Oakland, California, with a hybrid schedule of three days per week in the office.

Responsibilities
  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
  • Transform large datasets into actionable metrics and attributes using SQL and Spark.
  • Explore and develop repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, helping the business understand how to drive those metrics.
  • Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
  • Advise business teams on implementing scalable, robust telemetry and analytics tracking.
Qualifications
  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
  • Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
  • Experience and proficiency in wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of fundamentals of relational databases and data modeling.
  • Strong foundation of statistical methods and probability theory.
  • Excellent communication and presentation skills, especially in translating technical information to non‑technical audiences.
  • Preferred: Experience working with open‑source analytics tools such as Airflow or DBT.
  • Preferred: Experience working with distributed processing technologies such as Spark or MapReduce.
  • Preferred: Experience applying machine learning or statistical modeling methods to real‑world problems.
  • Familiar with Git or a similar DVCS.
Benefits
  • Salary range $120,000 – $172,000 (base pay subject to change).
  • Equity program.
  • 401(k) retirement plan with company matching.
  • Health, dental, and vision insurance.
  • Flexible Spending Accounts for health and dependent care expenses.
  • Paid parental leave and approximately 80 hours (10 days) of sick leave per year.
  • 17 paid vacation days plus 11 federal holidays.
  • Membership to Modern Health for mental health and wellness.
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues.
  • Company‑sponsored life and disability insurance.

Everlaw is an equal‑opportunity employer. Everlaw prides itself on a diverse workforce and does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender and gender identity of our applicants and employees and honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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