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Data Analyst Instructor Jobs in Baltimore, MD (NOW HIRING)

Johns Hopkins University

Instructor

Baltimore, MD · On-site

Description The Instructor (Non-Tenure Track) is a full-time research-focused position that ... design, data collection, data analysis, and interpretation of results. * Manage day-to-day ...

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Data Analyst Instructor information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do data analyst instructor jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data analyst instructor in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analyst Instructor, and why are they important?

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.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain knowledge. Therefore, AI is more likely to augment rather than fully replace data analysts, who will need skills in data visualization, statistical analysis, and critical thinking to work effectively alongside AI technologies.

What field is the highest paid data analyst?

Data analysts working in finance, investment banking, and technology tend to have the highest salaries, especially those with advanced skills in SQL, Python, and data visualization tools. Specializing in areas like risk management or financial modeling can also lead to higher compensation.

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 is a data analyst trainer?

A data analyst trainer is a professional who teaches individuals or groups how to analyze data using tools like Excel, SQL, or Python. They develop training programs, deliver instruction, and assess learners' understanding to improve data analysis skills.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals transition into data analysis later in their careers by acquiring skills in tools like Excel, SQL, and Python, and obtaining relevant certifications. Employers value experience and analytical skills regardless of age.

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 Baltimore, MD? For Data Analyst Instructor jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Analyst Instructor jobs in Baltimore, MD look for? The top searched job categories for Data Analyst Instructor jobs in Baltimore, MD are:
Data Analyst Instructor jobs near you
Infographic showing various Data Analyst Instructor job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.
Instructor

Instructor

Johns Hopkins University

Baltimore, MD • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Johns Hopkins Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

231st of 885 rated healthcare providers

Job description

Description
The Instructor (Non-Tenure Track) is a full-time research-focused position that supports ongoing scholarly, scientific, or laboratory projects within the department of Genetic Medicine. The role involves conducting independent and collaborative research under the supervision of a principal investigator (PI) or senior faculty member. This position is not part of the tenure-track faculty pathway.
Key Responsibilities:
  • Conduct and support research activities, including experimental design, data collection, data analysis, and interpretation of results.
  • Manage day-to-day operations of research projects, ensuring compliance with regulatory, institutional, and funding requirements.
  • Prepare research materials such as protocols, reports, abstracts, posters, and manuscripts for publication or presentation.
  • Assist with grant applications, including literature reviews, preliminary data preparation, and research plan development.
  • Maintain research records, laboratory documentation, and project databases with accuracy and confidentiality.
  • Collaborate with faculty, postdocs, staff, and students; provide training or technical guidance as needed.
  • Operate and maintain laboratory equipment, ensuring adherence to safety standards and best practices.
  • Participate in research meetings, seminars, and department activities.

  • Contribute to the development of new research methods, procedures, or technologies relevant to project goals.

Qualifications
Qualifications:
PhD in Human Genetics or relevant field
3-4 years of extensive postdoctoral research experience, which demonstrates independent project management, high-level technical or methodoligical expertise and strong productivity
Solid record of peer-reviewed publications usually first author papers, and evidence of ongoing scholarly projects.
Intermidiate field-specific skills in lab techniques, computational/statistical analysis and engineering design/testing
Grant funding experience
Strong communication skills - writing and presentation skills, and ability to communicate effectively with collaborators and interdisciplinary teams
Other preferred skills such as experience in teaching or mentoring, supervising lab personnel and familiarity with lab operations and equipment management

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