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Virtual Data Analyst Jobs in Azusa, CA (NOW HIRING)

Project Analyst

Los Angeles, CA · On-site

$80K - $130K/yr

Facilitate speakers' presentations and manage online chats during virtual events. * Develop and ... Bachelor's degree in business, finance, engineering, computer science, information systems, data ...

Actuarial Analyst

Los Angeles, CA · On-site

$66K - $99K/yr

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... Refines and collects appropriate data for actuarial analysis and ensures its reasonableness and ...

... data communications. This includes, but is not limited to, network switches, routers, wireless ... Must possess a strong understanding of Local Area Networks (LAN), Wide Area Networks (WAN), Virtual ...

Litigation Support Analyst

Los Angeles, CA · Hybrid

$46.15 - $73.38/hr

Provides the day-to-day support of data management and review platforms. Provides technology ... participating in digital/virtual conference calls; (c) participating in meetings as needed.

Provide in person and virtual training to staff, faculty and students who use common campus ... Practice common security standards by keeping sensitive data confidential and protecting shared ...

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable ... Refines and collects appropriate data for actuarial analysis and ensures its reasonableness and ...

Data Engineer III, Cloud

Fountain Valley, CA · On-site

$125K - $150K/yr

The engineer will work closely with business analysts, Power BI developers, DBAs, and ... Azure Virtual Networks * Data Technologies * SQL, Data Modeling, ETL / ELT, Data Warehousing * Star ...

Showing results 21-40

Virtual Data Analyst information

See Azusa, CA salary details

$34.6K

$84.1K

$138.4K

How much do virtual data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for virtual data analyst in Azusa, CA is $84,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,700.00 per year, depending on experience, location, and employer.

What is a virtual data analyst?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What does a virtual data analyst do?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What skills and qualifications are needed to thrive as a virtual data analyst?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Azusa, CA?

The most popular types of Data Analyst jobs in Azusa, CA are:

What job categories do people searching Virtual Data Analyst jobs in Azusa, CA look for?

The top searched job categories for Virtual Data Analyst jobs in Azusa, CA are:

What cities near Azusa, CA are hiring for Virtual Data Analyst jobs?

Cities near Azusa, CA with the most Virtual Data Analyst job openings:

Infographic showing various Virtual Data Analyst job openings in Azusa, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $84,073 per year, or $40.4 per hour.

Data Scientist, Analytics (Technical Leadership)

Meta

Los Angeles, CA • On-site

$210K/yr

Full-time

Re-posted 18 days ago


Key responsibilities

  • Collaborate with cross-functional partners to identify and solve complex problems using data and analysis.

  • Apply analytical and statistical approaches to work with complex data sets and develop product strategies.

  • Communicate insights and recommendations to stakeholders to inform product development and strategy.


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Data Scientist, Analytics (Technical Leadership) Responsibilities:
  • Work with complex data sets to solve challenging problems using analytical and statistical approaches
  • Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies
  • Identify and measure success through goal setting, forecasting, and monitoring key metrics
  • Partner with cross-functional teams to inform and execute product strategy and investment decisions
  • Build long-term vision and strategy for programs and products
  • Collaborate with executives to define and develop data platforms and instrumentation
  • Effectively communicate insights and recommendations to stakeholders
  • Define success metrics, forecast changes, and set team goals
  • Support developing roadmaps and coordinate analytics efforts across teams

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)
  • 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development
  • Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance
  • Experience with predictive modeling, machine learning, and experimentation/causal inference methods
  • Experience communicating complex technical topics in a clear, precise, and actionable manner

Preferred Qualifications:
  • 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy
  • Masters or Ph.D. Degree in a quantitative field
  • Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research)
  • 10+ years of experience doing complex quantitative analysis in product analytics
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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