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Remote Data & Analytics Jobs in Irvine, CA (NOW HIRING)

You will design and develop data & analytics solutions using cutting-edge tools to improve data warehousing, financial reporting, reserve analytics, and various automation efforts. This position ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Clinical Data Analyst

Long Beach, CA · Remote

$54K - $83K/yr

... remote position offers a remote work arrangement. The Clinical Analyst is responsible for ... Serve as the primary data and analytics resource for assigned patient care areas, supporting ...

Senior Compensation Analyst (Remote)

Costa Mesa, CA · Remote

$88K - $114K/yr

You will use market data, analytics, and AI-enabled tools to help develop competitive and equitable ... This is a remote position. You will report to the Senior Compensation Director. You will have ...

Senior Compensation Analyst (Remote)

Costa Mesa, CA · Remote

$88K - $114K/yr

You will use market data, analytics, and AI-enabled tools to help develop competitive and equitable ... This is a remote position. You will report to the Senior Compensation Director. You will have ...

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Remote Data Analytics information

See Irvine, CA salary details

$26

$58

$101

How much do remote data & analytics jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote data & analytics in Irvine, CA is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $66.59 per hour, depending on experience, location, and employer.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

What are the most commonly searched types of Data & Analytics jobs in Irvine, CA?

The most popular types of Data & Analytics jobs in Irvine, CA are:

What job categories do people searching Remote Data & Analytics jobs in Irvine, CA look for?

The top searched job categories for Remote Data & Analytics jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Remote Data & Analytics jobs?

Cities near Irvine, CA with the most Remote Data & Analytics job openings:

Infographic showing various Remote Data & Analytics job openings in Irvine, CA as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,231 per year, or $58.8 per hour.

Data Entry Assistant - Entry Level / Remote

Only Data Entry

Laguna Beach, CA • Remote

$18.75 - $24.75/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Entry Assistant - Entry Level / Remote About the job Data Entry Assistant - Entry Level / Remote CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

Accurately input, update, and maintain large volumes of data into our database systems. Verify and cross-reference data to ensure its accuracy and completeness. Conduct data quality checks and resolve discrepancies in a timely manner. Collaborate with other teams to gather and clarify data requirements. Maintain data confidentiality and adhere to data security protocols. Contribute to process improvement initiatives to enhance data entry efficiency.