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Internship Opt Cpt Data Analytics Jobs in Riverside, CA

Big Data/NoSQL/JAVA Consultant

Irvine, CA · On-site

$59.75 - $79.25/hr

Analysis and understanding of upstream and downstream data needs for analytics. * Ability to work ... No OPT-EAD for this position. * Please mention your email id in your emai l or resume

Solutions Engineer, Remote

Pomona, CA · On-site

$120K - $140K/yr

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time. Your Role We are ... Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ...

Data Platform Engineering Lead

Tustin, CA · On-site

$160K - $170K/yr

Drive cloud-native modernization initiatives across data and analytics ecosystems. Own platform ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

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Coursework, internship, project, or early-career exposure to software development lifecycles, testing, requirements, quality systems, audit readiness, regulated technical environments, data analytics ...

Internship, academic project, or professional experience involving EDI, data integrations, ERP systems, or business process analysis is a plus. Founded in 2010 and headquartered in the Washington, DC ...

Coursework, internship, project, or early-career exposure to software development lifecycles, testing, requirements, quality systems, audit readiness, regulated technical environments, data analytics ...

Showing results 41-60

Internship Opt Cpt Data Analytics information

See Riverside, CA salary details

$12

$23

$43

How much do internship opt cpt data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship opt cpt data analytics in Riverside, CA is $23.48, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.58 per hour, depending on experience, location, and employer.

What is an Internship OPT CPT Data Analytics?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What are the key skills and qualifications needed to thrive as an Internship OPT CPT Data Analytics?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What types of projects can I expect to work on during an Internship OPT CPT Data Analytics?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

What job categories do people searching Internship Opt Cpt Data Analytics jobs in Riverside, CA look for?

The top searched job categories for Internship Opt Cpt Data Analytics jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Internship Opt Cpt Data Analytics jobs?

Cities near Riverside, CA with the most Internship Opt Cpt Data Analytics job openings:

Client Solutions Specialist

SwiftX Inc.

Eastvale, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Position Overview
We are seeking a driven, analytical, and customer-centric Client Solutions Intern to join our team. In this role, you won't just be watching from the sidelines-you will actively help manage relationships with our key clients, diagnose business challenges, and deliver impactful, data-driven solutions. This internship is designed to give you hands-on experience in account management, strategic problem-solving, and cross-functional collaboration in a fast-paced environment.
Key Responsibilities
As a Client Solutions Intern, your day-to-day tasks will include:
  • Client Support & Retention: Assist the team in managing daily client inquiries, troubleshooting issues, and ensuring a high level of client satisfaction.
  • Data Analysis & Reporting: Gather and analyze account performance metrics to help build comprehensive weekly/monthly business reviews for clients.
  • Strategic Problem Solving: Partner with senior Client Solutions Managers to research client industries, identify growth opportunities, and pitch tailored solutions.
  • Cross-Functional Collaboration: Work closely with Product, Sales, and Operations teams to ensure client feedback is effectively communicated and product delivery is seamless.
  • Special Projects: Own and present a capstone project by the end of the internship focused on optimizing an internal client onboarding or retention process.

Requirements
We are looking for someone who is eager to learn and brings the following qualifications:
  • Education: Currently pursuing a Bachelor's or Master's degree in Business, Marketing, Communications, Economics, Data Analytics, or a related field (Rising juniors or seniors preferred).
  • Communication: Exceptional written, verbal, and presentation skills-you can simplify complex ideas for any audience.
  • Analytical Mindset: Comfortable working with data; proficiency in Microsoft Excel (VLOOKUPs, Pivot Tables) or Google Sheets and SQL is highly preferred.
  • Problem Solver: A proactive attitude with a knack for thinking on your feet and addressing roadblocks creatively.
  • Tech Savvy: Familiarity with CRM tools (like Salesforce or HubSpot) and project management software (like Asana or Trello) is a strong plus.

What You Will Gain (Learning Objectives)
  • Real-World Account Management: Direct exposure to client-facing dynamics and corporate relationship management strategy.
  • Data Literacy: Hands-on experience translating raw performance metrics into actionable business stories.
  • Mentorship: Regular 1-on-1 coaching sessions with seasoned Client Solutions professionals and leadership.
  • Networking: Opportunities to connect with professionals across multiple departments within the company.

Benefits
  • Salary:18-19/hr
  • 7 PTO days
  • 5 Paid Sick Leave Days
  • 6 Paid Holidays
  • 401K
  • Medical insurance, Dental and Vision Insurance, STD/LTD