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Remote Data Analytics Instructor Jobs in Pittsburgh, PA

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School Psychologist- Remote

Pittsburgh, PA · Remote

$700 - $800/day

The School Psychologist role is designed for a remote setting, providing comprehensive academic and ... Data analysis skills * Strong report writing abilities * Effective communication skills

Pyrovio

Project Controls Analyst

Greensburg, PA · Remote

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

CivicScience

Market Research Analyst

Pittsburgh, PA · On-site +1

Travel and educational opportunities This is a remote (work from home) role with preference for ... analytics and advertising platform. Our proprietary, always on, data collection engine captures ...

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

As of Aug 22, 2026, the average hourly pay for remote data analytics instructor in Pittsburgh, PA is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $60.19 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 Pittsburgh, PA?

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

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

The top searched job categories for Remote Data Analytics Instructor jobs in Pittsburgh, PA are:

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Cities near Pittsburgh, PA with the most Remote Data Analytics Instructor job openings:

Remote Data Analytics Instructor jobs near you

Health Economics Analyst Intermediate - Medical Cost Initiatives (Remote)

UPMC Senior Communities

Pittsburgh, PA • On-site, Remote

$32.85 - $56.83/hr

Full-time

Posted 11 days ago

Job description

Purpose:
The UPMC Health Plan is seeking an Intermediate Health Economics Analyst for a fully remote role where they will join the Medical Cost Initiatives Team within in our Medical Economics Department.
A successful Health Economics Analyst, Intermediate will be expected to take initiative in the enhancement, development, documentation, and communication of identified variances and assessment of strategic opportunities. Manage comprehensive analysis of data and information for various UPMC Health Plan products and programs. To successfully perform the role, the Health Economics Analyst must be highly professional and understand the causes of financial & clinical trends and anomalies. The Health Economics Analyst must use their knowledge and understanding of financial, clinical and other information generated by numerous sources to identify opportunities to improve clinical and financial performance. Furthermore, the position requires the ability to articulate these opportunities to internal and external audiences, implement the solutions, and track and monitor progress. These functions must be done while also weighing the practical considerations and potential barriers that need to be overcome in order to successfully implement new programs and processes.
Responsibilities:
  • The quantitative analyst will also become increasingly familiar with basic medical claims terminology in order to properly interpret, through the application of quantitative analytics, the impact of care delivery and finance on Health Plan performance.
  • Health Economics is a fluid, dynamic, fast-paced environment. The successful employee is comfortable with ambiguity in priorities and is able to maintain professionalism and a team-player attitude in the face of analytical challenges of moderate-to-high complexity.
  • Independently prioritize and manage 2-to-4 advanced quantitative and/or statistical analytics projects simultaneously, while receiving regular supervision.
  • Routinely analyze financial and clinical results, including output from predictive models.
  • Develop knowledge and expert understanding of all products and benefit designs of UPMC Health Plan insurance offerings, across all lines of business, to facilitate analysis.
  • The HEA, Intermediate will consistently demonstrate a strong customer orientation, producing analyses on-time and communicating results effectively.
  • Routinely apply advanced data extraction and manipulation skills, complex analysis methods, statistical analysis, and data visualization tools to daily work.
  • Independently, or in teams, produce a combination of quantitative financial analysis and clinical utilization analysis to produce new insights into drivers of Health Plan performance.
  • Demonstrate attention to detail and initiative in discovering errors in data or analyses, or determining the need for additional, follow-up analysis arising from the original assignment.

Qualifications:
  • Minimum: Bachelor's degree in business, mathematics, statistics, health care management, decision sciences, or a similar, quantitative field. Master's degree preferred.
  • Minimum of two-to-four years of work experience in a quantitative job function; five years are preferred.
  • Prior experience with financial and/or clinical modeling or data analysis is highly desirable.
  • Prior experience applying analysis methods in the health insurance industries strengthens the application, as does general knowledge of business and economic principles.
  • Prior medical cost initiative experience highly preferred.
  • The successful HEA, Intermediate can apply analytical and statistical software tools to produce complex, quantitative analyses of the health insurance industry.
  • Work typically includes the use of statistical analyses, predictive models, or dynamic business models.
  • Demonstrate, beyond the novice level, the application of problem solving skills in the creation and interpretation of quantitative analyses.
  • Interpret and communicate to management and colleagues, verbally and through written reports, the results of complex, quantitative analysis.
  • The successful HEA, Intermediate will have experience using SQL, SAS, or R to conduct analysis.
  • Demonstrated application of a similar programming language or analysis tool such as SPSS, STATA, or C++ may also be acceptable.The ability to extract and manipulate data from large, complex data sets with minimal supervision.
  • The HEA, Intermediate will routinely use the most advanced quantitative features of Excel as a lower-level tool to supplement the use of advanced analysis tools.
  • Data visualization experience.
    UPMC is an Equal Opportunity Employer/Disability/Veteran

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