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Remote Lab Data Analyst Jobs in California (NOW HIRING)

Sr. Data Analyst

San Francisco, CA ยท Remote

$90K - $130K/yr

In this role, you'll not only analyze data to generate insights but also help connect and organize ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Senior Data Analyst

Los Angeles, CA ยท Remote

$109K - $171K/yr

Remote US & Canada We are seeking a highly motivated and autonomous Senior Data Analyst to join our team. In this role, you will be pivotal in surfacing insights and providing guidance to a broad ...

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Analyze financial and operational data to identify ways to capture and report on trends, variances ...

New

Metric & Data Analyst Sr

Palmdale, CA ยท On-site +1

$128K - $161K/yr

What You Will Be Doing In this role you will lead data analytics for the Production Control team in ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

Metric & Data Analyst Sr

Palmdale, CA ยท On-site +1

$128K - $161K/yr

What You Will Be Doing In this role you will lead data analytics for the Production Control team in ... From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your ...

Senior Data Analyst

Foster City, CA ยท Remote

$80K - $130K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Analyst, Data & Analytics

Long Beach, CA ยท On-site +1

$49K - $107K/yr

Works with complex datasets including claims, pharmacy, lab, and operational data to design, develop, validate, and maintain reports, dashboards, and analytical tools. Partners with internal teams to ...

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Showing results 1-20

Remote Lab Data Analyst information

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, and why are they important?

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 job categories do people searching Remote Lab Data Analyst jobs in California look for? The top searched job categories for Remote Lab Data Analyst jobs in California are:
What cities in California are hiring for Remote Lab Data Analyst jobs? Cities in California with the most Remote Lab Data Analyst job openings:
Infographic showing various Remote Lab Data Analyst job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Sr. Data Analyst

Sr. Data Analyst

Thunkable

San Francisco, CA โ€ข Remote

$90K - $130K/yr

Full-time

Medical, PTO

Re-posted 18 days ago


Job description

Role Overview
ย 
Thunkable is seeking a Senior Data Analyst to join our Data & Analytics team who can bridge analytics and data foundations. In this role, you'll not only analyze data to generate insights but also help connect and organize data from multiple sources-such as product analytics, marketing platforms, payments, and user systems-into a more complete and reliable view. We're looking for practical solutions that help us move faster and make better decisions across the business. You will work closely with cross-functional teams to make sense of the data, establish facts and help us understand the market, the business, the customers and our product.
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Key Responsibilities
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- Collaborate with engineers to add, validate and maintain event tracking within React-based interfaces.
- Improve data reliability by identifying and troubleshooting tracking issues that impact data integrity.
- Partner with cross-functional teams to collect and shape business requirements into scalable data architecture and process improvements that enable cross-team integration,ย  automation and efficient data flow. (eg. Google Ads, Meta ads, Payment systems, Amplitude, etc.)
- Document data architecture, key components, and data flows to ensure clarity.
- Collaborate across teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our current data ecosystem.
- Conduct product and marketing analyses (such as funnels, cohort analyses, and user segmentation) to uncover actionable insights.
- Develop and monitor key metrics, including setting up automated dashboards and recurring reports.
- Lead data initiatives and experimentation, defining measurement approaches and evaluating success.
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Required Qualifications
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- BA/BS degree or above in a related field or equivalent experience required.
- 3+ years of work experience in data science, data analytics or other quantitative roles, with a track record of successfully delivering data analytics projects.
- Experience with building and maintaining data pipelines and integrations across multiple systems (eg. Amplitude, Google Ads, Meta Ads, payment processors, CRM tools).
- Experience with event tracking instrumentation and collaborating with engineering teams to validate and maintain analytics implementations.
- Experience with handling real-time and historical data from the ground up, including data cleaning, data processing, analyzing, modeling, insights delivery and execution strategy.
- Experience in data queries and statistical programming tools (SQL, R, Python, etc.)
- Experience with product and marketing analytics and digital optimization tools (Amplitude, Google Analytics, etc.)
- You have strong analytical and problem-solving skills, with a keen attention to detail.
- You are a good communicator and can explain complex analyses using visualization and storytelling to both technical and non-technical audiences.
- You are a self-starter who thrives in a start-up environment and has a strong follow-through.
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Preferred Qualifications
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- Experience with improving data pipelines, data storage and analytical frameworks.
- Event tracking (eg. Javascript, Google tag manager)
- Javascript and React.
$90,000 - $130,000 a year
Life at Thunkable
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Thunkable is on a mission to democratize app development and empower everyone to build without writing a single line of code. Our platform enables anyone to build and publish iOS and Android apps for free.
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Joining Thunkable means joining a team of passionate, entrepreneurial, and supportive people from diverse backgrounds united by shared values of Creativity, Openness, Transparency, Persistence, and Entrepreneurialism.
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What You'll Get:
- Competitive compensation, equity, and unlimited PTO
- Health, wellness, and training budget
- Global remote flexibility
- The opportunity to directly influence the future of no-code and AI-driven app development
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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