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Remote Data Analyst Ai Jobs in Raleigh, NC (NOW HIRING)

micro1 AI

AI Data Collection Specialist - Remote

Cary, NC · Remote

$13 - $15/hr

Data-Video Generalist Job Type: Contractor Location: Remote - based in Alabama, Alaska, Arkansas ... Complete a device compatibility check and an AI-enabled interview during onboarding. Required ...

micro1 AI

AI Trainer - Microbiology Expert

Cary, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

micro1 AI

AI Trainer - Microbiology Expert

Durham, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

micro1 AI

AI Trainer - Microbiology Expert

Raleigh, NC · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Investigate and analyze the development, morphology, and behavior of microscopic organisms ...

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Remote Data Analyst Ai information

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How much do remote data analyst ai jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data analyst ai in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What is a remote data analyst AI?

Remote Data Analyst AI jobs involve analyzing large datasets to extract actionable insights, often by applying artificial intelligence and machine learning techniques. These professionals work from home or any remote location, using specialized software to process, visualize, and interpret data trends. They collaborate with businesses to solve complex problems, forecast outcomes, and support data-driven decision-making. Strong analytical, programming, and communication skills are essential for success in this role.

How does a remote data analyst AI typically collaborate with cross-functional teams while working remotely?

As a Remote Data Analyst AI, you will frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings and shared digital platforms. Effective communication is essential, as much of your work involves translating complex data insights into actionable recommendations for team members in different locations. You'll often use collaboration tools like Slack, project management software, and cloud-based data dashboards to share findings and coordinate tasks. Building strong working relationships virtually can be a challenge, but regular check-ins and clear documentation help ensure alignment and successful project outcomes.

What are the key skills and qualifications needed to thrive as a remote data analyst AI, and why are they important?

To thrive as a Remote Data Analyst AI, you need strong analytical skills, expertise in statistics, and proficiency with data analysis, typically backed by a degree in a quantitative field. Familiarity with programming languages like Python or R, machine learning frameworks, and data visualization tools such as Tableau or Power BI is commonly required. Outstanding problem-solving, attention to detail, and effective communication are vital soft skills for collaborating remotely and presenting insights clearly. These skills and qualifications are important to accurately interpret data, drive actionable recommendations, and succeed in a fast-evolving, distributed work environment.

What is the difference between Remote Data Analyst Ai vs Remote Data Scientist?

AspectRemote Data Analyst AiRemote Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Google Data AnalyticsBachelor's or Master's in Data Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentRemote, often in analytics teams within various industriesRemote or hybrid, working on complex models and research in tech, finance, healthcare
Employer & Industry UsageBusiness, marketing, finance, healthcare companiesTech firms, research institutions, finance, healthcare
Common Search & ComparisonYesYes

Remote Data Analyst Ai focuses on analyzing data using AI tools to generate insights, often with a focus on business intelligence. Remote Data Scientist involves developing complex models and algorithms to solve advanced problems. While both roles require similar educational backgrounds and work environments, Data Scientists typically handle more technical, research-oriented tasks compared to Data Analysts.

What are the most commonly searched types of Data Analyst Ai jobs in Raleigh, NC?

The most popular types of Data Analyst Ai jobs in Raleigh, NC are:

What are popular job titles related to Remote Data Analyst Ai jobs in Raleigh, NC?

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

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

The top searched job categories for Remote Data Analyst Ai jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Data Analyst Ai jobs?

Cities near Raleigh, NC with the most Remote Data Analyst Ai job openings:

Remote Data Analyst Ai jobs near you

Manager, Data Engineer (Remote)

Raleigh, NC • On-site, Remote

Arch Capital Group
See more jobs at Arch Capital Groupexternal

$100K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 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 Possibility℠.
Job Summary
Strategic Analytics at Arch is a growing team at the forefront of the company's AI transformation. We design and deploy agentic AI systems and predictive analytics, supported by AI-ready data assets and AI-assisted development practices. These capabilities are becoming increasingly embedded across the enterprise.
Data is central to our mission. We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both traditional analytics and emerging AI use cases.
As Manager of Strategic Analytics Services, supporting the Claims Analytics group, you will lead end-to-end delivery of complex data pipelines that put analytics at the center of business processes. This is a hands-on role that combines execution, technical leadership, and stakeholder partnership, including leading and developing a team of data engineers.
You will work closely with business and technical leaders to align priorities, shape scalable data solutions, and deliver measurable outcomes. You will also guide engineers and reinforce strong delivery practices, while advancing the team's capabilities in modern data engineering, AI-assisted development, and well-governed, reusable data systems.
Responsibilities
  • Lead delivery of high-quality data solutions by partnering with stakeholders and coaching data engineers.

  • Own end-to-end data engineering delivery across the project lifecycle.

  • Build strong partnerships across the organization to align priorities and deliver data-related goals.

  • Design clear, analytics-ready data structures by anticipating downstream analytical needs.

  • Evaluate and adopt new technologies and data sources to improve capability and efficiency.

  • Automate data ingestion and integration to reliably connect internal and external data sources.

  • Document data sources, definitions, and technical solutions to support transparency and reuse.

  • Reinforce strong delivery hygiene (version control, code review, automated testing, CI/CD, and operational readiness/monitoring).

  • Apply agentic, AI-assisted coding practices to accelerate delivery while maintaining appropriate controls.

  • Build agent-ready data assets, including semantic layer components (ontology, taxonomy, domain models) and governed access.

  • Provide retrieval-ready context (RAG pipelines, vector stores, knowledge bases) when needed.

Desired Skills
Data Engineering
  • Strong programming expertise in Python and SQL, including data engineering frameworks, large-scale data manipulation, and governed AI-assisted development practices

  • Apache Spark proficiency (PySpark preferred) and experience with distributed data processing, including building scalable pipelines and optimizing performance for large-scale datasets

  • Cloud data platform proficiency (Snowflake, Databricks, Azure ecosystem fundamentals)

  • Data warehousing and modeling fundamentals (schema design, conformed definitions, performance optimization)

  • Data quality and observability practices (testing, reconciliation, monitoring)

Analytics & AI Readiness
  • Insurance data modeling for analytics and actuarial-ready data structures

  • MLOps familiarity supporting operationalized analytics and models

  • Semantic modeling skills (business definitions, metrics, ontology/taxonomy/domain models)

  • Business definition standardization for reuse across BI and AI use cases

Leadership & Operating Model
  • Self-directed execution and ownership in a distributed environment, combined with strong cross-functional collaboration, stakeholder partnership, and team building

  • Strong problem-solving and critical thinking skills, including the ability to decompose complex challenges

  • Clear communication across technical and business audiences, with the ability to adapt effectively in ambiguous and evolving environments

Required Skills
  • 6+ years' experience of hands-on development in Python and distributed processing environments (e.g., Spark)

  • 2-3+ years of technical leadership or project delivery ownership experience
  • Hands-on Databricks experience highly preferred

Education
  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

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.
$100,500 - $174,000/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

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