2

Remote Lab Data Analyst Jobs in Saint Louis, MO (NOW HIRING)

... analytical solutions This position offers the opportunity to work fully remote within the United ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

Remote. While this is a remote position, occasional on-site attendance may be required as business ... This role is well suited for someone who enjoys working with data, solving complex business ...

Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling. Experience with big data technologies and cloud-based data platforms ...

next page

Showing results 1-20

Remote Lab Data Analyst information

See Saint Louis, MO salary details

$10

$26

$46

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

As of Sep 3, 2026, the average hourly pay for remote lab data analyst in Saint Louis, MO is $26.72, according to ZipRecruiter salary data. Most workers in this role earn between $19.18 and $31.78 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 job categories do people searching Remote Lab Data Analyst jobs in Saint Louis, MO look for?

The top searched job categories for Remote Lab Data Analyst jobs in Saint Louis, MO are:

What cities near Saint Louis, MO are hiring for Remote Lab Data Analyst jobs?

Cities near Saint Louis, MO with the most Remote Lab Data Analyst job openings:

Infographic showing various Remote Lab Data Analyst job openings in Saint Louis, MO as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $55,578 per year, or $26.7 per hour.

Job Title: Junior Data Analyst

The Giant Bullseye

Saint Louis, MO โ€ข Remote

$50K/yr

Full-time

Re-posted 21 days ago


Job description

Job Title: Junior Data Analyst (0–2 Years)

Location: Remote (United States)
Employment Type: Full-Time (W2) or Independent Contractor (1099)
Experience: 0–2 Years
Salary: $50,000 per year
Benefits: None
Visa Sponsorship: Not Available

Job Summary

We are looking for a Junior Data Analyst to collect, analyze, and interpret data to help drive business decisions. This is an excellent opportunity for candidates beginning their careers in data analytics.

Responsibilities
  • Collect, clean, and validate datasets.
  • Build reports and dashboards.
  • Analyze trends and identify business insights.
  • Write basic SQL queries.
  • Create visualizations using Power BI or Tableau.
  • Document findings and present recommendations.
  • Support data quality initiatives.
Required Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Mathematics, Statistics, or related field.
  • 0–2 years of experience in data analysis.
  • Knowledge of SQL and Microsoft Excel.
  • Familiarity with Power BI or Tableau.
  • Basic Python or R is a plus.
  • Strong analytical and problem-solving skills.