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

IQVIA, Inc.

Data Security Architect (Remote)

Durham, NC · On-site +1

$61.50 - $79.25/hr

Architect data security controls for advanced analytics and AI/ML pipelines, including protection of training datasets, model pipeline integrity, RAG data source governance, and controls preventing ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Translate complex analytical concepts into clear business insights, helping stakeholders understand ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... analytics, data migration, and operational decision-making. This role works within established ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Redhat

Senior Business Systems Analyst

Raleigh, NC · On-site +1

$126K - $141K/yr

... data management. Act as liaison between technical and non-technical groups, creating clarity on ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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All JobsLidar Data Analyst JobsRemote Lidar Data Analyst JobsRemote Lidar Data Analyst Jobs in Raleigh, NC

Remote Lidar Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Jul 20, 2026, the average yearly pay for remote lidar data analyst 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.

How do Remote Lidar Data Analysts typically collaborate with other team members when working on large-scale mapping projects?

Remote Lidar Data Analysts often work closely with GIS specialists, project managers, and software engineers to process and interpret Lidar data for mapping and analysis. Collaboration is typically facilitated through digital platforms, such as shared cloud storage, project management tools, and video conferencing. Regular check-ins and clear documentation help ensure seamless integration of data and alignment on project goals. Effective communication skills are essential, as analysts may need to explain technical findings to non-technical stakeholders and coordinate with field teams collecting data.

What is a Remote Lidar Data Analyst?

A Remote Lidar Data Analyst is a professional who processes, analyzes, and interprets data collected by Light Detection and Ranging (LiDAR) sensors, often working remotely. They use specialized software to create detailed 3D maps and models from point cloud data, supporting various industries such as environmental science, urban planning, and engineering. Their responsibilities include cleaning and classifying raw LiDAR data, ensuring its accuracy, and producing actionable insights or reports for clients or stakeholders. Remote LiDAR Data Analysts need strong technical skills in geospatial analysis, data management, and often programming. Working remotely, they collaborate with team members online and deliver results through digital platforms.

What is the difference between Remote Lidar Data Analyst vs Remote GIS Analyst?

AspectRemote Lidar Data AnalystRemote GIS Analyst
Required CredentialsDegree in Geospatial, Geography, or related field; GIS certifications helpfulDegree in Geography, Urban Planning, or related; GIS certifications common
Work EnvironmentPrimarily working with Lidar point cloud data, software like LAStools, ArcGISWorking with spatial data, maps, GIS software, and spatial analysis tools
Industry UsageUsed in surveying, mapping, infrastructure, environmental projectsApplied in urban planning, resource management, environmental analysis

Remote Lidar Data Analysts focus on processing and analyzing Lidar point cloud data, while Remote GIS Analysts work with broader spatial datasets and mapping. Both roles require geospatial knowledge and GIS skills, but Lidar Analysts specialize in 3D data processing, making their work more data-specific within the geospatial industry.

What are the key skills and qualifications needed to thrive as a Remote Lidar Data Analyst, and why are they important?

To thrive as a Remote Lidar Data Analyst, a strong background in geospatial analysis, remote sensing, and data processing—often supported by a relevant degree in geography, GIS, or environmental science—is essential. Proficiency with Lidar processing software (such as LAStools, Terrasolid, or ArcGIS), GIS platforms, and programming languages like Python are typically required. Attention to detail, problem-solving abilities, and effective communication skills help analysts interpret complex datasets and collaborate with multidisciplinary teams. These skills and qualities are crucial for producing accurate geospatial insights that inform decision-making in fields like mapping, forestry, and urban planning.
What are popular job titles related to Remote Lidar Data Analyst jobs in Raleigh, NC? For Remote Lidar Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Lidar Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Remote Lidar Data Analyst jobs in Raleigh, NC are:
Remote Lidar Data Analyst jobs near you

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

Archgroup

Raleigh, NC • Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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.

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the businessoperates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book - combining frontier LLMs, multi-agent orchestration (MCP, A2A), retrieval-augmented generation, evaluation harnesses, and traditional ML.Our missionis broad: agentic automation, decision support, AI-driven insights, and the platform engineeringrequiredto make all ofitproduction-grade.

We have a strongtrack recordof success(productionalizingdozens ofhigh qualityGen AI products over the last 3 years) -weaim to continue scaling these efforts and are seeking an AVP AIEngineering tolead thearchitecture & developmentof true multi-agent systems within Strategic Analytics. Reporting to theSVP of AI & Automation, you will design andoperateorchestrations where agents communicate directly with one another - not just sequential, hand-off-driven workflows.After architecting themultiagentsystem,you willautomate complex decisions by usingData Science frameworks/processes.This will happen in thesystemyoucreateandproductionsolutionsmust workathighlevelsof accuracy.You willpartnerwithImplementation Engineering (IE)on theorchestrationentry points and any infrastructure-side connectors.

Key Responsibilities

  • Designourmulti-agent orchestration patterns (master-orchestrator + specialized worker agents) using protocols such as MCP and A2A.

  • This may be a blend of build & buy

  • Lead end-to-end delivery of agentic underwriting and claims automations, from prototype throughtoproduction.

  • Use precision/recall, calibration, confidence thresholds, error analysis, and business-impact measurement todeterminewhen automation is safe to deploy

  • Design decision frameworks that combine LLMs, retrieval, traditional ML, business rules, and human review."

  • Identifythe conditions where the automation should be trusted, reviewed, or discarded

  • Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent gateways) so the AE/IE seam is clean and scalable.

  • Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability practices.

  • Establish coding, evaluation, and observability standards for agentic systems within the AI & Automation Center of Excellence.

  • Translate business intent into working agentic systems - not just systems that compile, but systems that deliver measurable business outcomes.

Required Skills / Experience

  • 7+ years of software engineering and/or automation engineering experience.

  • 3+ years of Data science experience

  • 3+ years of people leadership experience

  • Demonstratedexperience buildingproduction grademulti-agent or agentic systems (beyondPOCwork).

  • Strongtrack recordofdeveloping supervised learning models (ML and/or GLMs)that have a financially measurable impact on the business

  • Strong experience sourcing & evaluating vendors

  • StrongPython experience

  • Resilient problem solving - comfortable with ambiguous problems and capable of breaking them into shippable increments.

  • Strong written and verbal communication; able tooperateacross IE, AE, DS, and business stakeholders.

  • Demonstrated, hands-on production experience (not POC-only) with the current AI stack: RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ability to articulate where each is the right tool. Comfort scanning for and trialing new tooling as the space evolves.

Desired Skills / Experience

  • P&C insurance domain familiarity - underwriting, claims, or submission lifecycle.

  • Experience with retrieval-augmented generation (RAG),evaluationharnesses, and structured-output patterns.

  • Cloud experience in Azure (preferred for our stack) and/or AWS; familiaritywith private endpoints and enterprise-grade safeguards.

  • Experience leading multidisciplinary teams (onshore + offshore) for technology delivery.

  • Visibletrack recordof self-directed learning in the AI space - side projects, contributions to agentic frameworks, write-ups, conference talks, or other evidence that the candidate is investing personal time staying ahead of the curve.

Education

  • College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience.

#LI-LH1

#LI-REMOTE

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

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