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

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

US is seeking an experienced Data & Analytics Manager to join our growing data practice. In this ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

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All JobsLab Data Analyst JobsRemote Lab Data Analyst JobsRemote Lab Data Analyst Jobs in Pasadena, CA

Remote Lab Data Analyst information

See Pasadena, CA salary details

$11

$29

$52

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

As of Aug 10, 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.

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 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.

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 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 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 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.

Data Analyst - Product & Marketing (REMOTE)

The League

Los Angeles, CA • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

Company Description
The League is a social dating app startup backed by IDG Ventures, xSeed Capital, Cowboy Ventures, Structure Capital, Sherpa Ventures, and many notable angels. The Founder is a Stanford MBA (ex-Google, ex-Salesforce) with a strong product sense (engineering degree from Carnegie Mellon) and a fierce determination to change the dating space for the better. The League is live in 150 cities, brings in healthy revenue each month, and leads the pack in it's innovative feature set that includes live video speed dating.
Job Description
The data analyst role is part of the analytics team, will report to the Head of Data Science. S/he will be responsible for performing deep-dive analysis to understand and optimize key levers of our product's marketing funnel: acquisition, activation, engagement, and retention. Additionally, s/he will be responsible for designing core metrics that serve as North Stars for team efforts and OKRs. A successful candidate in this role has the opportunity to contribute to creating a foundation of analytical excellence at the League and promoting a culture of data-driven decision making. The ideal candidate has excellent communication skills, a robust knowledge of SQL, and experience using programming languages such as python/R to automate their analyses and analytical work.
Responsibilities:
  • Directly own the creation of key company metrics used to track aggregate company OKR performance
  • Conduct quarterly prioritized analysis projects targeted at revenue and user growth
  • Conduct ad-hoc analyses as defined by cross-functional partners and prioritized weekly
  • Manage and maintain dashboards in Periscope that relate operational performance across company departments and track key company metrics
  • Work with product managers and engineers to design data products and run A/B experiments
  • Work directly with product and business stakeholders to translate the questions and hypotheses into structured analysis.
  • Own data analysis and visualization, and communicate the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for our users and help create potential feature + experimentation candidates.
  • Apply statistics, modeling and machine learning techniques to improve efficiency and relevance of The League's matching algorithm
  • Work towards creating a data-driven culture at The League
  • Understand what matters most and prioritize ruthlessly

Qualifications
  • Bachelors' in CS, Engineering, Physics, Math, Statistics, Business, Economics or related field
  • Fluency in SQL, as well as a deep understanding of statistical analysis, experiment design, and common pitfalls of data analysis
  • Expertise in at least one programming language useful for statistical analysis (e.g. python/R)
  • Strong communicator: You effectively synthesize, visualize, and communicate your ideas to others
  • You are a critical thinker: You are thoughtful, self-aware, and use available evidence to make decisions
  • You can lead initiatives across multiple product areas while communicating findings with leadership and product teams

Nice to haves:
  • Prior experience in Gaming or Dating industry
  • Knowledgeable about the machine learning trade-offs and model evaluation

Additional Information
All your information will be kept confidential according to EEO guidelines.
TO APPLY
  • Submit your resume to jobs [at] theleague.com with the job position title as the subject line

COMPENSATION
  • Competitive/above average for the industry

Apply