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Remote Lab Data Analyst Jobs in California (NOW HIRING)

Data Analyst II 100% Remote PST work Remaining Positions: 1 Duties: * Provide analytic data to support our annual sales planning including quota planning, go-to-market modeling, capacity modeling and ...

Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ... Exposure to Python, R, or other data analysis tools. * Experience working in a fast-paced or cross ...

Data Analyst

Los Angeles, CA · On-site +1

$65K - $80K/yr

Location : Remote in AZ, CA, FL, IL, IN, IA, NC, NE, OH, OK, TN, TX Our mission is to promote ... PragerU is looking for a Data Analyst to join our Development Data Team - a small, highly ...

Data Analyst

Los Angeles, CA · On-site +1

$65K - $80K/yr

Location : Remote in AZ, CA, FL, IL, IN, IA, NC, NE, OH, OK, TN, TX Our mission is to promote ... PragerU is looking for a Data Analyst to join our Development Data Team - a small, highly ...

Data Analyst

Foster City, CA · Remote

$85K - $100K/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 ...

Data Analyst III

San Francisco, CA · On-site +1

$114.19K - $142.74K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role ...

Sr. Data Analyst

San Francisco, CA · Remote

$101.30K - $127.80K/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 ...

Sr. Data Analyst

San Francisco, CA · 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 ...

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Remote Lab Data Analyst information

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.

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 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 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 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 May 2026, with employment types broken down into 1% As Needed, 84% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 85% Physical, 10% Hybrid, and 5% Remote job distribution.
Sports Data Analyst

Sports Data Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 4 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Duties:
  • Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity issues
  • Detect data inaccuracies such as missing, out of range or otherwise incorrect on-field data
  • Source origins of data inaccuracies through data pipeline dependencies and python code base
  • Define data validation tests to flag future game errors
  • Research accurate roster active statuses, primary positions and game participation
  • Validate data changes after logic updates
  • Production model feature deep dives to explain project market lines
  • Clearly document findings
  • Develop intimate familiarity with existing databases and construct metadata references
  • With guidance, support lead Data Scientists in feature development and model analysis

Requirements:
  • Bachelor's Degree in Computer Science, Data Science or similar major
  • Minimum of 1 year of experience in football data analysis
  • Deep knowledge of football, basketball or baseball; including roster compositions of professional and college teams, general gameplay strategies, and typical in-game scenarios
  • Data Extraction, Wrangling and Analysis in Python
  • Strong SQL querying skills
  • Attention to detail

Preferred:
  • Strong Python data management programming skills
  • Data Visualization experience with a user application like Streamlit
  • Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis
  • Exposure to the data science process and tech stack
  • Anomaly Detection Techniques

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote