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Remote Lab Data Analyst Jobs in Pasadena, CA (NOW HIRING)

YO AI Labs

Analytics Expert - Remote

Los Angeles, CA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Business Intelligence & Analytics Experts to ... You will work with dashboards, reports, KPIs, data visualizations, and leading BI platforms to ...

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How much do remote lab data analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for remote lab data analyst in Pasadena, CA is $29.98, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $35.67 per hour, depending on experience, location, and employer.

What is a remote lab data analyst?

A Remote Lab Data Analyst is a professional who collects, processes, and interprets laboratory data from a remote location. They use specialized software and analytical tools to ensure data accuracy and integrity, often working with scientific, medical, or industrial laboratories. Their role may include data validation, report generation, and collaboration with laboratory staff to improve data quality and support research or quality control objectives. Remote Lab Data Analysts typically require strong analytical skills, attention to detail, and proficiency with data management systems.

What are the key skills and qualifications needed to thrive as a remote lab data analyst?

To thrive as a Remote Lab Data Analyst, you need a strong background in statistics, data analysis, and laboratory science, often supported by a degree in a related field. Familiarity with data analysis tools like Excel, Python, R, and Laboratory Information Management Systems (LIMS) is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and share findings with remote teams. These skills ensure accurate data interpretation, reliable reporting, and seamless collaboration across distributed laboratory environments.

How does a remote lab data analyst typically collaborate with on-site laboratory staff and other remote team members?

A Remote Lab Data Analyst frequently communicates with on-site lab personnel and other remote colleagues through video meetings, collaborative platforms, and shared data systems. This close collaboration ensures data accuracy, timely reporting, and proper interpretation of lab results. Analysts often attend virtual team meetings to discuss findings, address challenges, and align on project goals. Effective communication and strong organizational skills are essential to bridge the gap between remote and in-person teams, making regular updates and clear documentation a key part of the role.

What is the difference between Remote Lab Data Analyst vs Remote Laboratory Technician?

AspectRemote Lab Data AnalystRemote Laboratory Technician
CredentialsBachelor's in Data Science, Biology, or related field; certifications in data analysisAssociate's or Bachelor's in Laboratory Science or related field; technical certifications
Work EnvironmentPrimarily remote, analyzing digital data setsRemote or on-site, performing sample processing and testing
Industry UsageHealthcare, biotech, research institutionsClinical labs, research facilities, hospitals
Job FocusData analysis, reporting, data managementSample handling, testing, equipment operation

The Remote Lab Data Analyst and Remote Laboratory Technician roles share some overlap in scientific knowledge and industry context. However, the analyst focuses on interpreting data remotely, requiring strong analytical skills and data certifications, while the technician handles laboratory procedures and sample processing, often requiring technical lab certifications. Both roles are vital in research and healthcare sectors but differ in daily tasks and skill sets.

What are popular job titles related to Remote Lab Data Analyst jobs in Pasadena, CA?

For Remote Lab Data Analyst jobs in Pasadena, CA, the most frequently searched job titles are:

What job categories do people searching Remote Lab Data Analyst jobs in Pasadena, CA look for?

The top searched job categories for Remote Lab Data Analyst jobs in Pasadena, CA are:

What cities near Pasadena, CA are hiring for Remote Lab Data Analyst jobs?

Cities near Pasadena, CA with the most Remote Lab Data Analyst job openings:

Remote Lab Data Analyst jobs near you
Infographic showing various Remote Lab Data Analyst job openings in Pasadena, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 14% In-person, and 86% Remote job distribution, with an average salary of $62,357 per year, or $30 per hour.

Senior Data Analyst, User Acquisition

Age of Learning, Inc.

Glendale, CA • On-site, Remote

$150K - $170K/yr

Full-time

Medical, Retirement, PTO

Posted 15 days ago

Key responsibilities

  • Evaluate acquisition performance across channels, campaigns, audiences, creatives, devices, and landing pages to identify trends and optimization opportunities.

  • Use acquisition measurement frameworks such as LTV, CAC, payback period, and ROAS to assess customer value and guide investment decisions.

  • Create reporting tools like dashboards and automated reports, and communicate insights and recommendations to stakeholders.

Job description

Company Overview:
Age of Learning® is the leading developer of engaging and effective Pre-K through 2nd grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company's research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse®, Adventure Academy®, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español®. Having served over 55 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit AgeofLearning.com.
Summary:
We are seeking a proactive, intellectually curious Senior Data Analyst to support our User Acquisition team.
Partnering closely with User Acquisition, Marketing, Data Engineering, and other analytics partners, you will analyze channel, campaign, audience, creative, and landing-page performance to identify opportunities that improve customer acquisition and marketing efficiency.
You will evaluate both short-term conversion and long-term customer value and translate complex analyses into clear, actionable recommendations that guide acquisition strategy and investment decisions. To support this work, you will develop, maintain, and enhance Lifetime Value (LTV) models and apply a strong understanding of the broader acquisition measurement framework, including Customer Acquisition Cost (CAC), payback period, and Return on Advertising Spend (ROAS).
Responsibilities:
  • Analyze acquisition performance: Evaluate results across channels, campaigns, audiences, creatives, devices, and landing pages to identify performance drivers, trends, and optimization opportunities.
  • Apply acquisition measurement frameworks: Use Lifetime Value (LTV), Customer Acquisition Cost (CAC), payback period, and Return on Advertising Spend (ROAS) to assess customer value, compare acquisition efficiency, and guide investment allocation.
  • Measure marketing effectiveness: Apply attribution, incrementality testing techniques, and support the development of Marketing Mix Modeling (MMM) capabilities.
  • Define success metrics: Establish Key Performance Indicators (KPIs) for acquisition volume, efficiency, customer quality, and long-term value.
  • Identify opportunities: Proactively detect performance changes, investigate root causes, and communicate risks and opportunities.
  • Build reporting tools:Create self-service dashboards and automated reporting for business partners.
  • Partner on data development:Work with User Acquisition and Data Engineering to define requirements and build scalable acquisition data models.
  • Communicate insights: Present clear, actionable recommendations to technical and nontechnical stakeholders.
Minimum Qualifications:
  • 6+ years of experience in user-acquisition, growth, marketing, or data analytics.
  • Bachelor's or Master's degree in a quantitative field.
  • Strong experience analyzing paid search, paid social, display, affiliate, mobile, connected television, or similar acquisition channels.
  • Experience developing LTV, CAC, payback period, and ROAS models.
  • Experience with attribution, incrementality testing, or related marketing-measurement methods.
  • Advanced SQL skills and experience working with large datasets.
  • Proficiency in Python or R for statistical analysis, modeling, automation, and visualization.
  • Experience with Business Intelligence (BI) tools such as Omni, Looker, or Tableau.
  • Experience with Snowflake, Git, or data build tool (dbt) is a plus.
  • Ability to work independently, manage multiple priorities, and take projects from problem definition through recommendation.
  • Strong written and verbal communication skills.

The estimated salary range for a new hire in this position is below. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location.
Total Compensation:
$150,000-$170,000 USD
Age of Learning currently provides:
  • 91% of employee health and welfare benefits premiums & 70% of dependent benefits premiums
  • A 401(k) program with employer match
  • 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year
  • 7 paid days for company-wide year end closure (includes 3 observed paid holidays)
Security Advisory
At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts - be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom - never through messaging apps. Job offers are communicated verbally and followed by written documentation via DocuSign. Any requests for personal information will occur through secure channels only.
An Equal Opportunity Employer
Age of Learning, Inc. (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the "Company") will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.
Employee/Applicant Privacy Notice
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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