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Remote Data Analytics Graduate Jobs in Irvine, CA

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

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 ...

Infinity Marketing

Data Analyst

Riverside, CA · Remote

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 ...

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

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 ...

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Remote Data Analytics Graduate information

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$26

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$101

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

As of Aug 17, 2026, the average hourly pay for remote data analytics graduate 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 graduate?

A Remote Data Analytics Graduate is someone who has recently completed a degree or certification in data analytics and works remotely, often from home or another non-office location. Their role typically involves collecting, processing, and analyzing data to help organizations make informed decisions. They use various tools and software to interpret data trends and present findings, collaborating with teams virtually. This position is ideal for graduates who are comfortable working independently and have strong analytical and technical skills.

What skills and qualifications are needed to thrive as a remote data analytics graduate?

To thrive as a Remote Data Analytics Graduate, you need a solid foundation in statistics, data analysis, and programming languages such as Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), spreadsheet software, and cloud-based analytics platforms is often expected. Strong problem-solving skills, attention to detail, and effective communication are vital for presenting insights and collaborating remotely. These skills are crucial for extracting actionable insights from data and contributing effectively to distributed teams.

What are common challenges faced by remote data analytics graduates in their first role, and how can they overcome them?

Remote Data Analytics Graduates often encounter challenges such as adapting to virtual collaboration, managing time effectively without in-person oversight, and learning to communicate complex data insights clearly through digital channels. To overcome these, it's helpful to proactively schedule regular check-ins with mentors or team members, utilize collaborative tools like Slack or Microsoft Teams, and seek feedback on presentations and reports. Building strong self-management habits and engaging in online data analytics communities can also enhance both technical and communication skills while working remotely.

What is the difference between Remote Data Analytics Graduate vs Remote Data Analyst?

AspectRemote Data Analytics GraduateRemote Data Analyst
Required CredentialsDegree in Data Science, Analytics, or related field; entry-level certificationsExperience with data tools; often requires certifications like SQL, Python, or Tableau
Work EnvironmentTypically entry-level, internship, or training roles; supervised environmentFull-time remote position; independent work with team collaboration
Employer & Industry UsageHiring companies seeking fresh talent; industry-wide entry rolesEstablished companies; industries like finance, marketing, tech

The main difference is that a Remote Data Analytics Graduate is an entry-level role suited for recent graduates, focusing on learning and development. In contrast, a Remote Data Analyst is a more experienced position requiring some practical skills and experience, often involving more independent work and project responsibilities.

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

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

What are popular job titles related to Remote Data Analytics Graduate jobs in Irvine, CA?

For Remote Data Analytics Graduate jobs in Irvine, CA, the most frequently searched job titles are:

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

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

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

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

Remote Data Analytics Graduate jobs near you
Infographic showing various Remote Data Analytics Graduate job openings in Irvine, CA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 10% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,231 per year, or $58.8 per hour.

Remote Data Analyst

Recruit Monitor

Long Beach, CA • Remote

Full-time

Re-posted yesterday

Job description

This position plays a supporting role in the modernization and transformation of the Annuity/Retirement Plan Services Valuation & Modeling team with new technology solutions. 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 provides a broad range of experiences and responsibilities, allowing for growth.What you'll be doing:

  • Supports and promotes change management and/or departmental/enterprise initiatives within assigned area(s) of responsibility.
  • Maintains knowledge on current and emerging developments/trends for assigned area(s) of responsibility.
  • Performs and delivers on routine assignments/projects for their assigned area(s) of responsibility.
  • Exports information from various applications/databases and uses analytical tools (i.e. SQL, MS Power BI, Tableau, Excel, etc.) to transform that data into meaningful reports and infographics.
  • Performs routine data mining, validation, and reconciliation of data across various applications.
  • Identifies and analyzes variances, and trends; researches inconsistencies/anomalies in the data and presents findings to management.
  • Develops creative charts, graphs and other visual aids in support of identifying trends to quantify performance of the business segment and to support decision making.
  • Performs what-if analysis in support of creating proposals for change and process improvement.
  • Develops queries and prepares data for diagnostic and predictive analytics.
  • Develops basic ad-hoc reports supporting projects and analysis.
  • Supports team members and/or management in developing basic recommendations to solve problem and issues related to identified trends and data insights.
  • Develops an understanding of best practices and suggests how to improve current practices

What we're looking for:Must haves:

  • 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's) (Minimum Required)
  • 0 - 1+ Years of experience in analytics that directly aligns with the specific responsibilities for this position (Required)

Nice-to-haves:

  • Demonstrated solid relationship management skills with internal clients (e.g. management, peers and colleagues).
  • Demonstrated ability to query and report off of SQL databases.
  • Experience with:
    • Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark
    • Coding with SQL, Hive, Python/R, SAS, VBA, etc.
  • Demonstrates excellent organizational skills with the ability to prioritize workload and multi-task while maintaining strict attention to detail.
  • Demonstrates strong interpersonal skills with a collaborative style.
  • Demonstrates the ability to use sound judgment and discretion regarding confidential information.
  • Finds common ground and can gain collaboration among management, colleagues and peers.

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