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Remote Lidar Data Analyst Jobs in Michigan (NOW HIRING)

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 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 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 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 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 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 ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

Showing results 21-40

Remote Lidar Data Analyst information

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?

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 the most commonly searched types of Lidar Data Analyst jobs in Michigan? The most popular types of Lidar Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Lidar Data Analyst jobs? Cities in Michigan with the most Remote Lidar Data Analyst job openings:

Compensation Analyst (Teradyne, US Remote / North Reading, MA)

Teradyne

Frankfort, MI • Remote

$94K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Our Purpose

TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.

We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team, one that makes better decisions, drives innovation and delivers better business results.

Opportunity Overview

** Open to US Remote **

We are seeking a Compensation Analyst to support the design, administration, analysis, and continuous improvement of Teradyne's global compensation programs. This role will partner across HR and the business to deliver compensation insights, market analysis, and data-driven recommendations that support organizational objectives.

In this role, you will combine compensation expertise, advanced analytics, automation, and business consultation to help improve the effectiveness, accuracy, and scalability of compensation processes.

  • Conduct market pricing analyses using compensation survey data, including Radford, Mercer, Comptryx, and other market intelligence sources.
  • Analyze salary structures, pay equity, geographic differentials, and overall compensation competitiveness.
  • Support annual compensation programs, including merit planning, promotions, bonus administration, equity programs, and salary structure development.
  • Support job evaluation, market alignment, job architecture, and leveling initiatives.
  • Develop dashboards, reports, models, and decision-support tools that provide actionable workforce and compensation insights.
  • Partner with HR Business Partners and business leaders on global compensation matters, including offers, promotions, retention cases, internal equity concerns, organizational changes, and market competitiveness.
  • Leverage advanced Excel, automation solutions, and AI-enabled tools to streamline compensation processes, reporting, survey matching, job evaluation, and documentation.
  • Ensure compensation data integrity through strong governance, validation, audit, and confidentiality practices.
  • Serve as a trusted advisor by translating complex compensation analyses into clear and actionable guidance.
  • Evaluate complex compensation situations and exercise independent judgment to develop practical, data-driven recommendations aligned with company compensation philosophy, external competitiveness, and business objectives.
  • Communicate compensation concepts and confidently present and defend recommendations with HR and business leaders, including in high-visibility situations.

All About You

The ideal candidate is intellectually curious, highly analytical, and motivated by continuous learning and professional growth. They thrive in a fast-paced environment, exercise sound judgment, and consistently deliver high-quality results while managing competing priorities and deadlines.

  • Bachelor's degree in Human Resources, Business, Finance, Economics, or a related field.
  • Minimum of 6 years of progressive compensation experience.
  • Experience supporting global compensation programs.
  • Strong understanding of compensation principles, market pricing methodologies, salary structures, and compensation program administration.
  • Advanced Microsoft Excel proficiency, including complex formulas, data analysis, modeling, reporting, and automation.
  • Ability to analyze large, complex datasets and translate business questions into actionable insights and recommendations.
  • Experience building dashboards, analytical models, reports, and decision-support tools that drive business decisions.
  • Strong written, verbal, and presentation skills, with the ability to communicate complex compensation concepts to technical and non-technical audiences.
  • Proven ability to build credibility and partner effectively with HR Business Partners, Field HR, and managers.
  • Strong judgment, attention to detail, accountability, and ability to manage multiple priorities and deadlines.
  • Continuous improvement mindset with interest in automation, AI-enabled technologies, process improvement, and emerging tools.
  • Preferred: Certified Compensation Professional certification or progress toward certification.
  • Preferred: Experience with SAP SuccessFactors or similar HRIS platforms.
  • Preferred: Experience supporting job architecture and leveling frameworks.
  • Preferred: Knowledge of pay transparency, pay equity, and related regulatory requirements.
  • Preferred: Experience using AI tools and automation solutions to improve business processes.

This position is not eligible for sponsorship.

Compensation: The base salary range for this role is $94,400-151,000. This range is a good faith estimate, and the amount of base salary will correspond with experience and skill set. This range may vary based on experience, skills, qualifications.

Incentive Plan: This job is eligible for discretionary bonus(es) based on financial performance.

Benefits: Teradyne offers a variety of robust health and well-being benefit programs, including medical, dental, vision, Flexible Spending Accounts, retirement savings plans, life and disability insurance, paid vacation & holidays, tuition assistance programs, and more. Please click here to see details.

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