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Remote Data Analytics Instructor Jobs in Louisville, KY

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations * Enable data for AI/ML use cases by preparing ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Energy Procurement Analyst Location: Remote (U.S.) About World Fuel At World Fuel, we help ... We're looking for an analytical, detail-oriented professional who enjoys working with data, solving ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Remote Data Analytics Instructor information

See Louisville, KY salary details

$23

$52

$90

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

As of Jul 29, 2026, the average hourly pay for remote data analytics instructor in Louisville, KY is $52.60, according to ZipRecruiter salary data. Most workers in this role earn between $42.26 and $59.57 per hour, depending on experience, location, and employer.

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

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 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 job categories do people searching Remote Data Analytics Instructor jobs in Louisville, KY look for? The top searched job categories for Remote Data Analytics Instructor jobs in Louisville, KY are:
Infographic showing various Remote Data Analytics Instructor job openings in Louisville, KY as of July 2026, with employment types broken down into 5% Internship, 56% Full Time, 33% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $109,413 per year, or $52.6 per hour.

Senior Compensation Systems and Data Analyst (Remote)

ScionHealth

Louisville, KY • On-site, Remote

$79K - $103K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


ScionHealth rating

5.6

Company rating: 5.6 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

803rd of 890 rated healthcare providers


Job description

At ScionHealth, we empower our caregivers to do what they do best. We value every voice by caring deeply for every patient and each other. We show courage by running toward the challenge and we lean into new ideas by embracing curiosity and question asking. Together, we create our culture by living our values in our day-to-day interactions with our patients and teammates.
Job Summary
The Senior Compensation Systems & Data Analyst is responsible for supporting the integrity, accuracy, and operational effectiveness of the organization's compensation systems, job architecture data, market pricing infrastructure, and related analytics. This role combines compensation operations, systems administration, data governance, reporting, and analytical support to enable informed decision-making across the employee lifecycle. Working across compensation, human resources, business leaders, and other internal partners, this position maintains critical compensation data and tools, supports recurring audit and survey processes, develops dashboards and reports, and provides analytical insights that improve data quality, strengthen governance, and support strategic decision-making. This role also helps create scalability and operational consistency within the Compensation function.
Essential Functions
  • Administers and maintains compensation-related systems, workflows, access, and supporting processes.
  • Supports administration of market pricing platforms, including survey loads, pricing updates, survey matching, and pricing file maintenance.
  • Performs audits, reconciliations, and validation of compensation, job, and employee data across multiple systems and reports.
  • Maintains key job architecture attributes, including but not limited to job codes, SOC codes, FLSA status, job family, sub-category, geographic differentials, and eligibility indicators.
  • Identifies data quality issues, researches root causes, recommends corrective action, and supports long-term improvements in data governance.
  • Develops, maintains, and refreshes recurring compensation reports, dashboards, lookup tools, and data models.
  • Translates complex data into clear, practical recommendations for a range of audiences.
  • Provides deep-dive analyses and actionable insights that inform strategic and operational decisions.
  • Provides analytical support across compensation and broader people-related topics such as hiring, retention, engagement, and internal mobility.
  • Translates complex data into clear findings, practical recommendations, and decision-support materials for a variety of audiences.
  • Documents processes, supports standardization, and contributes to operational efficiency and audit readiness.
  • Develop materials and deliverables for business owners to aid in understanding and execution of compensation processes.

Knowledge/Skills/Abilities/Expectations
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets.
  • Strong attention to detail and commitment to data accuracy, validation, and process consistency.
  • Ability to identify trends, issues, and opportunities within data and translate them into actionable insights.
  • Ability to communicate technical or analytical information clearly and effectively to both technical and non-technical audiences.
  • Strong organizational skills with the ability to manage multiple priorities and deadlines.
  • Ability to work independently while also collaborating effectively with cross-functional partners.
  • Process orientation with a focus on documentation, control, and continuous improvement.
  • Advanced proficiency in Microsoft Excel required; Power Query preferred.
  • Experience with reporting, dashboard, or analytical tools such as Python or similar preferred.
  • Experience with HRIS and compensation systems preferred.

Qualifications
Education
  • Bachelor's Degree Human Resources, Business, Finance, Analytics, Information Systems, or a related field (Required)
  • Equivalent Combination of Education and Experience in related field (May be Considered)

Experience
  • 5+ years experience in compensation, HR systems, HRIS, people analytics, reporting, data analysis, or a related field (Required)
  • Prior Experience supporting compensation programs, market pricing, survey participation, job architecture, or related compensation processes (Preferred)
  • Prior Experience working with large datasets and multiple systems (Preferred)

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