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Remote Data Analytics Instructor Jobs in Charlotte, NC

Devoteam

Data & AWS DevSecOps (100% Remote)

Alexis, NC · On-site +1

$59.75 - $76.75/hr

... remote working model from Spain , with a preference for candidates based in Madrid, Barcelona ... Analyzing and estimating new requirements , particularly those related to data platform components ...

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

USAA

Decision Science Analyst Senior

Charlotte, NC · On-site +1

$81K - $108K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural ...

USAA

Decision Science Analyst Senior

Charlotte, NC · On-site +1

$86K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural ...

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Remote Data Analytics Instructor information

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

As of Sep 12, 2026, the average hourly pay for remote data analytics instructor in Charlotte, NC is $53.47, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $60.58 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 Charlotte, NC?

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

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

The top searched job categories for Remote Data Analytics Instructor jobs in Charlotte, NC are:

What cities near Charlotte, NC are hiring for Remote Data Analytics Instructor jobs?

Cities near Charlotte, NC with the most Remote Data Analytics Instructor job openings:

Remote Data Analytics Instructor jobs near you

Remote -Data Analyst (Part-time)

Charlotte, NC • On-site, Remote

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Indotronix International Corporationexternal

$40/hr

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Title: Data Analyst (Part-time)
Location: Remote - Charlotte, NC 28216
Duration: 12+ Months Contract
Schedule: 16-24 hours per week
Pay Rate: $40/hr on W2
Job Description:
This role will be responsible for leading detailed research and analysis on assigned competitive intelligence topics in support of business strategy and planning activities. Analytics will also be applied internally to evaluate select business opportunities. Time will flex between ongoing analyst activities and project-based assignments.
Key Skills and Competencies
  • Advanced Analytics: Use data-driven approaches, statistical modeling, and machine learning tools to extract insights and inform decision-making.
  • Automation Expertise: Identify and implement process automation solutions to improve efficiency and scalability.
  • Business Acumen: Understand market dynamics, competitive positioning, and customer needs.
  • Strategic Thinking: Identify strategic issues, analyze research and data, consider implications, and make actionable recommendations.
  • Innovation Management: Collaborate on automation-driven innovation processes for product enhancements or process improvements.
  • Communication: Present updates, recommendations, and findings to senior leadership with clarity and precision.

Structure:
  • Strategy & Planning: Developing strategies to address business challenges and long-term opportunities using analytics-driven insights.
  • Business Development: Exploring market opportunities and competitive analysis with automation tools to streamline workflows.
  • Manufacturing & Engineering: Understanding operations and using automation to improve efficiency and scalability.
  • Innovation Management: Collaborating with cross-functional teams to develop data-driven product improvements and automate processes.
  • By the end of the program, interns will have gained valuable insights into these areas and honed their ability to work independently, leverage automation, and deliver measurable results.

Job Responsibilities in Detail
Strategic Development:
  • Define Strategic Issues: Analyze and articulate core problems or opportunities using advanced analytics.
  • Research and Analysis: Implement data collection pipelines and apply statistical and machine learning models for actionable insights.
  • Strategic Implications: Assess short-term and long-term effects of strategic options using predictive analytics and scenario modeling.
  • Actionable Recommendations: Present findings with automation-enhanced dashboards and clear action plans.
  • Execution: Implement strategies and monitor outcomes using automated tracking systems.

Data Analytics and Automation:
  • Advanced Analytics: Use tools such as Python, R, SQL, or Power BI to analyze large datasets, model trends, and generate insights.
  • Automation: Identify repetitive tasks and implement process automation using tools like UiPath, Microsoft Power Automate, or custom scripts.
  • Quality Assurance: Ensure the accuracy and consistency of data-driven decisions by automating validation processes.
  • Cross-Functional Collaboration: Support decision-making with real-time, automated reporting shared across teams.

Innovation Team Engagement:
  • Collaborate with multi-functional innovation teams to:
  • Develop value propositions for products and services using analytics and automation.
  • Forecast market opportunities with predictive modeling and automated data pipelines.
  • Conduct competitive assessments using automation tools to collect and analyze competitor data.

Qualities of a Successful Intern:
  • Analytical Expertise: Strong ability to use data to identify patterns, solve problems, and inform strategies.
  • Automation Skills: Proficiency in identifying opportunities for process automation and implementing solutions.
  • Independence: Ability to manage work autonomously within a complex, global organization.
  • Organizational Skills: Effectively prioritize tasks and manage time to meet deliverables.
  • Judgment and Decision-Making: Use advanced analytics and automation tools combined with intuition to assess data and make sound recommendations.
  • Communication Skills: Clearly present updates, recommendations, and insights using automated dashboards and reports.
  • Collaboration: Work effectively with cross-functional teams, including business, operations, and technology leaders.
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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