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Remote Data Analytics Instructor Jobs in Raleigh, NC

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Engineer II

Raleigh, NC ยท On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Support workflow orchestration, monitoring, troubleshooting, log analysis, and production ...

Data Engineer II

Raleigh, NC ยท On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Support workflow orchestration, monitoring, troubleshooting, log analysis, and production ...

Lead Data Engineer

Raleigh, NC ยท Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Partner with business stakeholders, analysts, and technology teams to translate business ...

Lead Data Engineer

Raleigh, NC ยท Remote

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Partner with business stakeholders, analysts, and technology teams to translate business ...

Marketing Analytics Manager

Raleigh, NC ยท Remote

$120K - $135K/yr

... data science challenges. Join us and make an impact! About the Role 3E is looking for an Marketing ... This position supports remote work, within the Eastern time zone. What You'll Do * Own and evolve ...

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Remote Data Analytics Instructor information

See Raleigh, NC salary details

$23

$53

$91

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

As of Sep 3, 2026, the average hourly pay for remote data analytics instructor in Raleigh, NC is $53.22, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.29 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 Raleigh, NC?

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

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

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

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

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

AVP, AI (Data Science/Engineer) Remote - EST

Arch Capital Group

Raleigh, NC โ€ข Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibilityโ„ .
Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book, combining frontier LLMs, multi-agent systems, retrieval-augmented generation (RAG), evaluation frameworks, and traditional machine learning. Our mission spans agentic automation, decision intelligence, AI-driven insights, and the responsible deployment of AI at scale. With a proven track record of productionizing dozens of high-quality GenAI products over the past three years, we are continuing to scale our impact and are seeking an AVP, AI Engineering to lead the design and application of advanced AI systems within Strategic Analytics.
Reporting to the SVP of AI & Automation, you will lead the development of multi-agent AI solutions that automate complex business decisions across underwriting and claims. This role is focused on applying AI, machine learning, and data science to solve high-value business problems, establish decision frameworks, and ensure AI systems deliver measurable outcomes with high levels of accuracy and trustworthiness.
Key Responsibilities
โ€ข Lead the design of multi-agent AI systems that coordinate specialized models and agents to solve complex business problems.
โ€ข Drive the end-to-end delivery of AI-powered underwriting and claims solutions from experimentation through production deployment.
โ€ข Develop and evaluate decision frameworks that combine LLMs, retrieval systems, machine learning models, business rules, and human review.
โ€ข Establish methodologies for measuring model performance, calibration, confidence, accuracy, and business impact to determine when automation is appropriate.
โ€ข Define the conditions under which AI-driven decisions should be trusted, reviewed, or escalated.
โ€ข Partner with cross-functional teams to integrate AI capabilities into business workflows and operational processes.
โ€ข Mentor data scientists, AI engineers, and analysts on agentic AI, model evaluation, prompt engineering, and responsible AI practices.
โ€ข Establish standards for AI evaluation, monitoring, governance, and continuous improvement within the AI & Automation Center of Excellence.
โ€ข Translate business opportunities into scalable AI solutions that deliver measurable business value.
Required Skills and Experience
โ€ข 7+ years of experience in AI, machine learning, data science, analytics, or related disciplines.
โ€ข 3+ years of people leadership experience.
โ€ข Demonstrated experience building and deploying production-grade AI, machine learning, or agentic systems beyond proof-of-concept work.
โ€ข Strong track record of developing supervised learning models (ML and/or GLMs) that have delivered measurable financial impact.
โ€ข Deep understanding of model evaluation, experimentation, statistical analysis, and decision science.
โ€ข Strong experience evaluating AI technologies, platforms, and vendors.
โ€ข Strong Python experience for data science, machine learning, and AI development.
โ€ข Exceptional problem-solving skills with the ability to frame ambiguous business challenges as analytical and AI opportunities.
โ€ข Strong communication skills with the ability to influence technical and non-technical stakeholders.
โ€ข Hands-on experience with modern AI technologies, including LLMs, RAG, agentic systems, evaluation frameworks, and emerging AI tooling.
Desired Skills and Experience
โ€ข Familiarity with P&C insurance, including underwriting, claims, or the submission lifecycle.
โ€ข Experience with retrieval-augmented generation (RAG), evaluation frameworks, and structured-output techniques.
โ€ข Experience applying AI and machine learning within enterprise environments.
โ€ข Experience leading multidisciplinary teams across data science, AI, analytics, and technology functions.
โ€ข Demonstrated commitment to staying current with advancements in AI through research, experimentation, publications, conference participation, or contributions to the AI community.
Education
โ€ข Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience.
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For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$185,000 - $235,000/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC