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Remote Data Management Jobs in Irvine, CA (NOW HIRING)

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

Supports and promotes change management and/or departmental/enterprise initiatives within assigned ... Performs routine data mining, validation, and reconciliation of data across various applications.

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

IQVIA

Senior Data Team Lead (Remote)

Anaheim, CA · Remote

$86K - $217K/yr

Lead data management for complex, global clinical trials from study setup to database lock. * Serve as the main client contact for all data management deliverables. * Oversee SAE, PK, and external ...

Corvel

Data Science Manager

Irvine, CA · Remote

... management. This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build, train, and deploy production-grade machine learning models, AI solutions and data products

Wise Skulls

EDMCS Lead

Irvine, CA · On-site +1

$59.25 - $81.25/hr

To Be Disclosed JD Remote position, with a minimum of two weeks of travel required. Solution * Lead the design and implementation of Oracle Enterprise Data Management Cloud Service (EDMCS) solutions.

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Ability to manage multiple tasks and meet deadlines. * Analytical mindset with a proactive approach ...

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All JobsData Management JobsRemote Data Management JobsRemote Data Management Jobs in Irvine, CA

Remote Data Management information

See Irvine, CA salary details

$11

$42

$85

How much do remote data management jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote data management in Irvine, CA is $42.78, according to ZipRecruiter salary data. Most workers in this role earn between $21.81 and $60.17 per hour, depending on experience, location, and employer.

What is remote data management?

Remote Data Management refers to the practice of organizing, storing, securing, and analyzing data from a location outside of an organization's physical premises. Professionals in this field use cloud-based tools and remote access software to manage databases, ensure data integrity, and facilitate data sharing among distributed teams. This approach enables businesses to maintain their data infrastructure efficiently while supporting remote work and global collaboration. It also involves implementing protocols to ensure data security and compliance with relevant regulations.

What are remote jobs in data management?

Various types of remote data management jobs are available in healthcare and insurance, with titles like clinical data manager, analyst, and auditor. In these jobs, you manage a database and provide analysis of information related to clinical trials, medical payments, operational activities, and more. Your duties and responsibilities include generating reports, database administration, and providing support for coworkers throughout your organization, but your responsibilities can vary based on what kinds of data you store. Additionally, you work with your company’s leadership to address issues affecting the availability and use of data and proactively suggest strategies for improving efficiency and accuracy. In some roles, you also participate in project planning, resource allocation, and budgeting.

What are the key skills and qualifications needed to thrive in remote data management?

To thrive in Remote Data Management, you need strong analytical skills, attention to detail, and a solid understanding of database concepts, often supported by a degree in information systems or a related field. Proficiency with data management tools such as SQL, Microsoft Excel, and cloud-based platforms like AWS or Google Cloud, as well as knowledge of data privacy regulations, is typically required. Excellent communication, self-motivation, and time management are important soft skills for collaborating with distributed teams and managing tasks independently. These skills ensure accurate, secure, and efficient handling of data assets while maintaining productivity and compliance in a remote work environment.

What are some common challenges faced in remote data management, and how can they be addressed?

One common challenge in remote data management is ensuring data security and integrity while working outside a traditional office environment. Remote team members must follow strict protocols for data access and regularly update security measures to protect sensitive information. Additionally, effective communication and collaboration with cross-functional teams can be more difficult remotely, so utilizing project management and communication tools is vital. Establishing clear workflows and regular check-ins helps maintain data consistency and team alignment.

What is the difference between Remote Data Management vs Data Analyst?

AspectRemote Data ManagementData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Microsoft Certified Data Analyst or AWS Data AnalyticsRequires a degree in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate or Tableau Desktop Specialist
Work EnvironmentPrimarily remote, working with databases, data warehouses, and cloud platformsRemote or on-site, analyzing data sets, creating reports, and visualizations
Industry UsageUsed across IT, finance, healthcare, and e-commerce sectorsCommon in finance, marketing, healthcare, and consulting industries

Remote Data Management and Data Analysts share overlapping skills in data handling and analytics, but differ mainly in focus. Remote Data Management emphasizes database administration and cloud platforms, while Data Analysts focus on interpreting data and creating insights. Both roles are vital in data-driven organizations and often collaborate to optimize data use.

More about Remote Data Management jobs

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

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

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

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

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

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

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

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

Remote Data Management jobs near you
Infographic showing various Remote Data Management job openings in Irvine, CA as of August 2026, with employment types broken down into 84% Full Time, 11% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $88,980 per year, or $42.8 per hour.

Remote Data Analyst

Recruit Monitor

Long Beach, CA • Remote

Full-time

Re-posted 18 days ago

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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