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Data Analyst Instructor Jobs in Washington, DC (NOW HIRING)

Bringing analysts of different GEOINT tradecrafts together in these learning events/exams will ... Data Visualization). * Department of Defense (DoD) Basic Instructor Certification. Overview ...

Data Science SME Mid

Fort Belvoir, VA ยท On-site

$115K - $157K/yr

Department of Defense (DoD) Basic Instructor Certification * Experience: Required Experience: Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer ...

Responsibilities Noblis is seeking a Data Scientist/Instructor in Springfield VA. This role will ... Minimum 5 years of experience focusing on the concepts and applications of data analytics, computer ...

Data Science SME Senior

Fort Belvoir, VA ยท On-site

$120K - $171K/yr

Department of Defense (DoD) Basic Instructor Certification * Experience: Minimum 10 years of experience focusing on the concepts and applications of data analytics, computer science and programming ...

The Graduate School and related schools/colleges invite applications for an adjunct instructor who ... Teach undergraduate and graduate level online Data Science and Analytics courses. SUPERVISORY ...

Showing results 21-40

Data Analyst Instructor information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do data analyst instructor jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst instructor in Washington, DC is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst Instructor, you need advanced knowledge of data analysis techniques, statistics, and practical experience using analytical tools, typically supported by a degree in a quantitative field and teaching or facilitation experience. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms like Tableau, as well as instructional design certifications, is highly beneficial. Strong communication, patience, and the ability to explain complex concepts clearly help instructors engage and support diverse learners. These skills ensure effective instruction and empower students to build confidence and proficiency in data analysis.

What are some common challenges data analyst instructors face when teaching students with varying levels of experience?

Data Analyst Instructors often encounter classrooms composed of students with diverse backgrounds, ranging from complete beginners to those with prior experience in analytics or programming. Balancing lesson pacing and ensuring everyone stays engaged can be challenging. Instructors usually address this by providing differentiated assignments, offering extra support to those who need it, and encouraging peer collaboration. Adapting teaching methods and using real-world datasets also helps bridge knowledge gaps and keep the material relevant and accessible for all learners.

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

AspectData Analyst InstructorData Analyst
Required CredentialsBachelor's degree in data-related field, teaching experience often preferredBachelor's or higher in data, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst
Work EnvironmentEducational settings, training programs, online coursesBusiness environments, analytics teams, consulting firms
Employer & Industry UsageEducational institutions, training companies, online platformsCorporations, finance, healthcare, tech companies
Common Search & Comparison IntentUnderstanding teaching roles in data analyticsUnderstanding data analysis roles and skills

The main difference between a Data Analyst Instructor and a Data Analyst lies in their primary focus. A Data Analyst Instructor teaches data analysis concepts and skills, often in educational or training settings, whereas a Data Analyst applies those skills in real-world business environments to interpret data and support decision-making.

What does a data analyst instructor do?

A Data Analyst Instructor teaches students or professionals how to analyze data, use statistical tools, and interpret results to help organizations make data-driven decisions. They develop lesson plans, create hands-on exercises, and guide learners through complex concepts like data cleaning, visualization, and modeling. Instructors often use real-world examples and software such as Excel, SQL, Python, or R to provide practical experience. Their goal is to equip students with the skills needed to become proficient data analysts.
What are popular job titles related to Data Analyst Instructor jobs in Washington, DC? For Data Analyst Instructor jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Data Analyst Instructor jobs in Washington, DC look for? The top searched job categories for Data Analyst Instructor jobs in Washington, DC are:
Infographic showing various Data Analyst Instructor job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Instructor/Facilitator - Data Scientist

CALIBRE Systems

Fort Belvoir, VA โ€ข On-site

Full-time

Re-posted 25 days ago


Job description


CALIBRE is an employee-owned mission focused solutions and digital transformation company.
CALIBRE is seeking an experienced Instructor/Facilitator - Data Analytics to support training and education efforts at the Army Force Management School (AFMS) at Fort Belvoir, VA. This role will serve as a subject matter expert responsible for delivering instruction on data analytics tools, methodologies, and their application within Army force management.
The selected candidate will play a critical role in developing Army leaders and analysts by strengthening their ability to leverage data for strategic decision-making. This position requires a blend of technical data analytics expertise and operational Army experience, particularly at the Headquarters, Department of the Army (HQDA) level.
Key Responsibilities:
  • Deliver instruction on data analytics principles, tools, and techniques with practical application
  • Facilitate classroom discussions, hands-on exercises, and real-world case studies
  • Develop and update curriculum, lesson plans, and instructional materials
  • Provide mentorship and guidance to students on analytical projects and coursework
  • Serve as a subject matter expert on Power BI and the Army Vantage platform
  • Develop data-driven case studies and demonstrations aligned to force management use cases
  • Create and administer assessments, practical exercises, and capstone projects
  • Integrate data analytics into the How the Army Runs (HTAR) reference materials
  • Conduct benchmarking of external training programs and incorporate best practices
  • Support development of white papers, research papers, reports, and executive briefings
  • Instruct senior leaders in courses such as FICSL and SLOCs
  • Conduct exportable training at CONUS locations as required
  • Update AFMS academic SOPs and support curriculum modernization efforts

Required Skills
  • U.S. Citizenship required
  • Active Secret Security Clearance (required; must be maintained)
  • Strong knowledge of data analytics concepts including data modeling, validation, and exploratory analysis
  • Proficiency in SQL or similar query languages
  • Advanced experience with Microsoft Power BI (dashboards, reports, data models)
  • Experience with Power Query for data transformation and integration
  • Strong working knowledge of DAX (calculated columns, measures, time intelligence)
  • Ability to design and optimize scalable, high-performance data models
  • Hands-on experience with the Army Vantage platform
  • Strong facilitation and adult learning instructional skills
  • Excellent written and verbal communication skills (executive-level writing required)
  • Ability to communicate complex technical concepts to non-technical audiences
  • Ability to collaborate across multiple organizations and stakeholders
  • Strong organizational skills and ability to manage multiple priorities
  • Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Teams)
  • Ability to travel as required

Required Experience
  • 3-5 years of data analytics experience within a Department of Defense or Army organization
  • Direct experience supporting HQDA-level operations, preferably within G-8 or G-3/5/7
  • Experience applying data analytics within force management or resource management environments
  • Bachelor's or Master's degree in Data Science, Operations Research, Statistics, or related field

Preferred Experience
  • Prior military service (especially in force management or analytics roles)
  • Experience developing curriculum and instructional materials
  • Previous instructor/facilitator experience in a military or government environment
  • Familiarity with Army data systems and force management processes