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Remote Data Analytics Instructor Jobs in St Louis, MO

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 ...

... 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 ...

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 ...

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 ...

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Remote Data Analytics Instructor information

See St Louis, MO salary details

$23

$53

$91

How much do remote data analytics instructor jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote data analytics instructor in St. Louis, MO is $53.23, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $60.29 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Analytics Instructor vs Remote Data Analyst?

AspectRemote Data Analytics InstructorRemote Data Analyst
Required CredentialsTypically a degree in data science, analytics, or related field; teaching certifications are a plusDegree in data science, statistics, or related field; often requires proficiency in analytics tools
Work EnvironmentOnline teaching platforms, educational institutions, corporate trainingRemote offices, companies, or consulting firms
Employer & Industry UsageEducational institutions, online course providers, corporate training programsBusinesses across industries, consulting firms, finance, healthcare, tech

While both roles involve data skills, a Remote Data Analytics Instructor focuses on teaching and curriculum development in educational settings, whereas a Remote Data Analyst applies data analysis techniques directly to business problems. The roles share similar credentials but differ mainly in their primary responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a remote data analytics instructor?

To thrive as a Remote Data Analytics Instructor, you need a strong background in data analytics, statistics, and teaching, usually demonstrated by a relevant degree and industry experience. Familiarity with data analysis tools such as Excel, SQL, Python, R, and learning management systems (LMS) is essential, along with certifications like Tableau or Google Data Analytics. Excellent communication, patience, and the ability to engage and motivate remote learners are valuable soft skills in this role. These skills ensure effective instruction, student engagement, and successful learning outcomes in a virtual environment.

What are some common challenges faced by remote data analytics instructors, and how can they be effectively managed?

Remote Data Analytics Instructors often encounter challenges such as maintaining student engagement in a virtual setting, addressing diverse learning paces, and ensuring clear communication despite not being physically present. To manage these, instructors can leverage interactive teaching tools, schedule regular check-ins, and provide a variety of learning resources to accommodate different student needs. Building a supportive online community and encouraging active participation also help foster a collaborative and effective learning environment.

What does a remote data analytics instructor do?

A Remote Data Analytics Instructor teaches students data analysis concepts and tools through online platforms. They develop and deliver course materials, lead live or recorded lessons, and provide feedback on assignments. Instructors often cover topics like data visualization, statistical analysis, and using software such as Excel, Python, or SQL. Their goal is to help students gain practical skills for analyzing and interpreting data in real-world scenarios.

What job categories do people searching Remote Data Analytics Instructor jobs in St. Louis, MO look for?

The top searched job categories for Remote Data Analytics Instructor jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Data Analytics Instructor jobs?

Cities near St. Louis, MO with the most Remote Data Analytics Instructor job openings:

Infographic showing various Remote Data Analytics Instructor job openings in St. Louis, MO as of June 2026, with employment types broken down into 5% Internship, 57% Full Time, 32% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,711 per year, or $53.2 per hour.

Job Title: Junior Data Analyst

The Giant Bullseye

Saint Louis, MO โ€ข Remote

$50K/yr

Full-time

Re-posted 3 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.