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Permanent Data Analyst Opt Jobs in California (NOW HIRING)

SAP Data Analyst

Santa Ana, CA · On-site

$71K - $105K/yr

You will monitor and analyze all data and related KPIs, provide feedback and direction to shop ... This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap ...

Sr Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the ... Permanent Share the Profiles to mdanish(at)1stitsolutions.com Contact: 703-349-1004 Keep the ...

Sr Data Analyst

Pleasanton, CA · On-site

$95K - $120K/yr

Build and implements Data Analytic solutions that serve as key decision support systems for the ... Permanent Share the Profiles to mdanish(at)1stitsolutions.com Contact: 703-349-1004 Keep the ...

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

As a Senior Data Analyst on our Enterprise Systems team, you will turn K2 Space's operational data ... S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected ...

Under general supervision, the Meter Data Analyst is responsible for ensuring the Advanced Metering ... PERMANENT CITY EMPLOYEES PREFERENCE POINTS: Current permanent employee candidates who receive a ...

Meter Data Analyst

Santa Clara, CA · On-site

$101K - $128K/yr

PERMANENT CITY EMPLOYEES PREFERENCE POINTS: Current permanent employee candidates who receive a ... Employees hired on or after 1/1/2022 who opt-out of City-offered health insurance and provide ...

This is a temporary-to-permanent position that is expected to work 100% on-site; initial assignment ... The Data Analyst role will work with San Diego PACE Leadership team to understand the contents of ...

This is a temporary-to-permanent position that is expected to work 100% on-site; initial assignment ... The Data Analyst role will work with San Diego PACE Leadership team to understand the contents of ...

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Permanent Data Analyst Opt information

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

To thrive as a Permanent Data Analyst, you need strong analytical skills, proficiency in data modeling, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau, along with certifications like Microsoft Certified Data Analyst Associate, is often required. Attention to detail, critical thinking, and effective communication help translate complex data insights into actionable recommendations for stakeholders. These skills ensure accurate analysis, informed decision-making, and add value to organizational strategy.

What is a Permanent Data Analyst Opt?

A Permanent Data Analyst OPT is a data analyst who is employed in a long-term, full-time position and is typically working in the United States under Optional Practical Training (OPT) status. OPT allows international students who have completed their studies to work in their field of study for up to 12 months (or 36 months for STEM fields). As a permanent data analyst, the individual analyzes and interprets data to help organizations make informed decisions, often using statistical tools and software. The 'permanent' aspect refers to the job being a regular, ongoing position rather than a contract or temporary role.

What are the primary types of data projects a Permanent Data Analyst can expect to work on within an organization?

As a Permanent Data Analyst, you can expect to work on a variety of data projects, such as developing regular business intelligence reports, conducting ad-hoc data analyses to inform strategic decisions, and supporting data-driven process improvements across departments. You'll often collaborate with cross-functional teams—including IT, marketing, and operations—to gather requirements and ensure data solutions align with organizational goals. Over time, you may also take on projects involving data visualization, predictive modeling, or data quality enhancement, offering diverse opportunities for skill development and career advancement.

What is the difference between Permanent Data Analyst Opt vs Permanent Data Scientist?

AspectPermanent Data Analyst OptPermanent Data Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; often certifications like Microsoft Excel or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications like Python, R, or machine learning courses
Work EnvironmentBusiness settings, finance, marketing, healthcare; focus on data reporting and visualizationResearch labs, tech firms, finance; focus on advanced modeling and predictive analytics
Employer & Industry UsageCommon in corporate, retail, healthcare industriesPrevalent in tech, finance, research institutions

The main difference between a Permanent Data Analyst Opt and a Permanent Data Scientist lies in their focus and skill set. Data Analysts primarily handle data reporting, visualization, and basic analysis, while Data Scientists develop complex models and predictive algorithms. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and education.

What are the most commonly searched types of Data Analyst Opt jobs in California? The most popular types of Data Analyst Opt jobs in California are:
What job categories do people searching Permanent Data Analyst Opt jobs in California look for? The top searched job categories for Permanent Data Analyst Opt jobs in California are:
What cities in California are hiring for Permanent Data Analyst Opt jobs? Cities in California with the most Permanent Data Analyst Opt job openings:
Infographic showing various Permanent Data Analyst Opt job openings in California as of July 2026, with employment types broken down into 66% Full Time, 8% Part Time, and 26% Contract. Highlights an 61% Physical, 5% Hybrid, and 34% Remote job distribution.

Other

Re-posted 21 days ago


Job description

Job Description

Hello,

Greetings from Jobsbridge!

We have the following open position for a FT/Permanent Data Science/Data Engineer. Please apply with all the details if interested.


Job title: Data Science/Data Engineer

Location: San Jose, CA

Duration: Full Time


Job Description:

5+ years of experience in software/data applications

2+ years of experience with Hadoop, NoSQL, SQL

2+ years of experience leverating R, or Excel for data analysis

Ability to deal with TB/PB of structured/unstructured data

2+ years of experience in rapid prototyping data based software applications requiring programming in Java, JavaScript, creating and integrating with REST services, MongoDB.

Experience in designing and developing highly scalable (10+ millions hits per day), highly available (99.5) and secure consumer facing applications.

Experience with one of MySQL, MongoDB, Solr is required.

Excellent analytical and problem solving skills.

Proven results-oriented person with the ability to think from the customer lens and comfortable in challenging the status quo. 


Additional Information

All your information will be kept confidential according to EEO guidelines.


Intelliswift logo

About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001