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Remote Data Analytics Instructor Jobs in Pikesville, MD

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

Sbdinc

Sr. Manager, Master Data Delivery

Towson, MD · Remote

Senior Manager, Master Data Delivery Towson, MD/ Remote based in the USA Come build your career. It ... Analyze and upgrade existing processes, norms, and approaches to Data Delivery, up to and including ...

Booz Allen Hamilton, Inc.

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0238506 Location: Edgewood,MD,US Share job via: Share Data Scientist ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

CareFirst

Quality Analyst (Remote)

Baltimore, MD · Remote

Data analytics experience working with healthcare data, large data sets, dashboards, trackers, or reports to answer clinical, operational, quality, or business questions. * Experience with medical ...

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Remote Data Analytics Instructor information

See Pikesville, MD salary details

$23

$52

$91

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

As of Sep 4, 2026, the average hourly pay for remote data analytics instructor in Pikesville, MD is $52.98, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $60.00 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 Pikesville, MD?

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

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

The top searched job categories for Remote Data Analytics Instructor jobs in Pikesville, MD are:

What cities near Pikesville, MD are hiring for Remote Data Analytics Instructor jobs?

Cities near Pikesville, 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 Pikesville, MD as of August 2026, with employment types broken down into 66% Full Time, 18% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,192 per year, or $53 per hour.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD • On-site, Remote

$544K/yr

Full-time

Posted 9 days ago

Job description

Job Requirements
Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.
We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.
Responsibilities:
  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation.
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges.
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes.
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways.
  • Support clinical trials and research projects by providing robust data analysis and visualization.
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities.
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards.
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience
The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives.
Education and Experience
  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency.
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data.
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies.
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes.
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics.

Knowledge, Skills and Abilities
  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics.
  • Familiarity with AI and cognitive analytics is highly desirable.
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus.
  • Epic certifications are highly preferred.
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  • Metric quantitative and qualitative analysis
  • Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  • Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement

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