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Remote Data Analytics Instructor Jobs in Washington, DC

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Showing results 21-40

Remote Data Analytics Instructor information

See Washington, DC salary details

$27

$62

$106

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

As of Sep 2, 2026, the average hourly pay for remote data analytics instructor in Washington, DC is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

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 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 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 popular job titles related to Remote Data Analytics Instructor jobs in Washington, DC?

For Remote Data Analytics Instructor jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Instructor jobs in Washington, DC look for?

The top searched job categories for Remote Data Analytics Instructor jobs in Washington, DC are:

Data Analyst (Full-time, Remote)

Integrity Management Services, Inc.

Alexandria, VA โ€ข Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About Us

http://www.integritym.com

Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.

At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!

Description:

In this role, the Data Analyst will provide analytical data support through data extraction, transformation, and analysis utilizing Python, SQL, and other statistical and data engineering tools. The Data Analyst will support data integration, ETL processes, reporting, and advanced analytics while working independently and collaboratively with project stakeholders to develop high-quality, data-driven solutions.

Job Responsibilities:

Business Analysis and Data Modeling

  • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements.
  • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions.
  • Build and apply complex analytical models and data solutions using tools such as Python, Snowflake, Databricks R, SQL and SAS to address project-specific requirements and support operational decision-making.
  • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for improving business operations.
  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms.
  • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance activities to ensure the accuracy and integrity of analytical datasets.

Client Engagement and Reporting

  • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives.
  • Interpret business data and translate findings into clear, meaningful insights for diverse audiences, including technical and non-technical stakeholders.
  • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions.

Collaboration and Communication

  • Participate in team projects and brainstorming sessions to evaluate methodologies and study designs that support program goals.
  • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users.
  • Research best practices and supports developing the solutions and recommendations for the current business operations.
  • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).
  • Provides business data interpretation.
  • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the course of business and/or contract operations.
  • Ensures compliance with all applicable privacy and security training requirements (both IntegrityM and external/client-based), whether on an annual or ad/hoc basis.

Requirements

  • Minimum of a Bachelor's Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework.
  • Possesses at least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions.
  • Strong proficiency in Python, R, SQL, and SAS, with experience utilizing cloud-based data platforms such as Snowflake and Databricks to support data analysis, project requirements, reporting, automation, and operational decision-making.
  • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms.
  • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives.
  • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment.
  • Responds to tasks or requests in a cooperative and timely manner.
  • Demonstrates adaptability to change and initiates or identifies change when necessary.
  • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences.ย 
  • Work collaboratively with team members to meet the needs of the organization.
  • Willingness to work collaboratively with team members on multiple tasks concurrently.
  • Independently can make good judgments and decisions without a high degree of supervision.ย 
  • Detail-oriented and able to work under deadlines.
  • Ability to take initiative, to maintain confidentiality, to meet deadlines, and to work in a team environment.
  • Ability to report work activity on a timely basis.
  • Ability to multitask and prioritize assignments while meeting deadlines.
  • Must pass post hire background screening checks.
  • For remote work, required to have wired and/or wireless internet access.
  • Ability to obtain security clearance, if required by Client/Contract.

Benefits

This position is eligible for the benefits applicable to full-time regular employees, such as:ย  vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.

U.S. remote annual salary range: $55,000-$85,000/annual

For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and ย job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.