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Remote Data Analyst Jobs in Riverside, CA (NOW HIRING)

Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for ... This position is fully remote, while occasional travel may be required. Primary Responsibilities:

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You can work remote from home and would be expected to come on-site at office per the schedule ... The EHR Analyst evaluates system performance, implements enhancements, manages data reporting, and ...

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

Write and optimize transformations to support reporting and analytics * Manage code in Git and contribute to a clean, well-documented codebase * Orchestrate data workflows with Dagster * Parse and ...

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Remote Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do remote data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Riverside, CA? The most popular types of Data Analyst jobs in Riverside, CA are:
What are popular job titles related to Remote Data Analyst jobs in Riverside, CA? For Remote Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Remote Data Analyst jobs? Cities near Riverside, CA with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Riverside, CA as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $86,216 per year, or $41.5 per hour.
Manager, Statistical Analysis - W&H

Manager, Statistical Analysis - W&H

Ogletree Deakins

Riverside, CA • On-site, Remote

$155K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Focused on employment and labor law since 1958, Jackson Lewis P.C.'s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged and stable, and share our clients' goals to emphasize belonging and respect for the contributions of every employee.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers "Best Law Firms".

This position will be fully remote, and will work closely with attorneys in the Jackson Lewis Wage and Hour Practice Group. This position will report to the Director of Data Analytics. The successful incumbent possesses deep analytical skills, is knowledgeable about the practice area, and works collaboratively across a national platform to streamline processes and deliver timely and accurate analysis that meet the needs of our clients.

Job Summary (basic description)

The Manager, Statistical Analysis is responsible for:

  • The quality and efficiency of the statistical work the assigned statistician team conducts in partnership with our attorneys and on behalf of our clients
  • Performing a variety of quantitative and qualitative statistical analyses leveraging various mediums on behalf of firm clients and in collaboration with Practice Group attorneys who support Wage & Hour litigation and day-to-day advice and counsel
  • Partnering with the Senior Director of Practice Enablement, Director of Data Analytics, and Practice Group attorneys to successfully manage and develop Practice Group Statisticians & Data Analysts
  • Training and development of Practice Group Statisticians, Data Analysts, and other data analytics professionals
  • Proactively managing the workflow of Practice Group projects and ensuring timely and accurate delivery of work product
  • Developing scalable processes to streamline work and more effectively meet needs of our clients and attorneys

Essential Functions

  • Design and implement all aspects of statistical analysis projects for firm clients.
  • Provide analysis to support defense strategies for federal, state agency and private litigation matters.
  • Communicate orally and in writing with clients regarding projects and data.
  • Manage deadlines and ensure projects are completed in a timely fashion.
  • Review and analyze large data sets for completeness and accuracy.
  • Design and create data summaries and databases from data obtained from various sources, including raw data and multiple forms of evidence.
  • Organize and maintain electronic and hard copy data files.
  • Work closely with Practice Group Principals to support continuity and consistency of statistical analysis among all JL offices and to support practice group initiatives.
  • Coordinate, prioritize, and manage the workload and project assignments of the Statisticians, Data Analysts, and other data analytics professionals.
  • Monitor project budgets to maximize profits and ensure efficiencies.

Qualifications/Skills Required

Required

  • 2+ years experience as manager of people, processes, quality and efficiency within a professional services setting.
  • 10 years of professional statistical and project management experience.
  • High level of proficiency in data analysis tools to include relational database concepts, language such as R, Python, VBA and applications such as Excel
  • Familiarity with entire MS Office 365 Suite.
  • Understanding of statistical concepts and tools sufficient to conduct and supervise accurate large-scale wage and hour statistical analysis
  • Critical thinking and problem-solving skills.
  • Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.
  • Ability to work in a fast-paced environment.
  • Ability to interpret and report on client data.
  • Strong attention to detail, organizational, and communication skills.

Preferred

  • 10 years of experience in law firm focusing on EEO/Wage & Hour.
  • Ability to write programs/macros to automate repetitive statistical and data tasks.
  • Experience leveraging AI and LLMs to automate processes and ensure quality control of work.

Educational Requirements

  • Masters'-level degree in applied statistics, mathematics, economics, or a similar field or commensurate experience, required.

For California, the expected salary range for this position is between $155,000 and $170,000. This position is also eligible for annual bonuses. The actualcompensation will be determined based on experience and other factors permitted by law.

Jackson Lewis offers a competitive benefits package that includes:
Medical, dental, vision, life and disability insurance
401(k) Retirement Plan
Flexible Spending and Health Savings Account
Firm-paid holidays, vacation and sick time
Employee assistance program and other firm benefits

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.