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Remote Data Analytics Instructor Jobs in Silver Spring, MD

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

SAIC

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

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All JobsRemote Data Analytics Instructor JobsRemote Data Analytics Instructor Jobs in Silver Spring, MD

Remote Data Analytics Instructor information

See Silver Spring, MD salary details

$25

$56

$97

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

As of Jul 3, 2026, the average hourly pay for remote data analytics instructor in Silver Spring, MD is $56.60, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $64.13 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, and why are they important?

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 are popular job titles related to Remote Data Analytics Instructor jobs in Silver Spring, MD? For Remote Data Analytics Instructor jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Analytics Instructor jobs in Silver Spring, MD look for? The top searched job categories for Remote Data Analytics Instructor jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Remote Data Analytics Instructor jobs? Cities near Silver Spring, MD with the most Remote Data Analytics Instructor job openings:
Remote Data Analytics Instructor jobs near you
Infographic showing various Remote Data Analytics Instructor job openings in Silver Spring, MD as of June 2026, with employment types broken down into 5% Internship, 58% Full Time, 32% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,720 per year, or $56.6 per hour.
Sr. Data Analytics Developer (Remote Eligible)

Sr. Data Analytics Developer (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Other

Posted 7 days ago

Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curious Sr. Data Analytics Developer in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL, or other data engineering or statistical programming languages. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  •  Leading the development of scalable data pipelines and analysis systems involving large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  •  Providing creative and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  •  Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found
  • Mentoring junior developers to follow technical standards and best practices, and may lead small teams of 2-3 developers

Apply