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Remote Lidar Data Analyst Jobs in Indiana (NOW HIRING)

CSAA

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 ...

Hoosier Energy

Billing Analyst - Hybrid Remote

Bloomington, IN · On-site +1

$42K - $56K/yr

Maintains system load data and billing information databases; performs analysis related to loading, billing, tariff/contract, costs, settlement procedures, information exchange and other areas as ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... analytics initiatives. Your work will empower the business to make data-driven decisions with ...

JLL

Data Collection Specialist II

Indianapolis, IN · Remote

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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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, 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.
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Remote Lidar Data Analyst jobs near you
Hardware Security and Vulnerability Analyst - Hybrid (Office/Remote)

Hardware Security and Vulnerability Analyst - Hybrid (Office/Remote)

EndoSec LLC

Lafayette, IN • On-site, Remote

Full-time

Re-posted 18 days ago

Job description

EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Description
Hardware Security and Vulnerability Analyst - (Hybrid-Office/Remote)
  • EndoSec LLC,
  • Hybrid (On-Site Office on Purdue University Campus/ some Remote).
  • Preferred Skills: C/C++, Python, assembly, IDA Pro, Ghidra, FPGA, cryptography, hardware, embedded software, hardware security, reverse engineering, side channel attacks, fault injection
  • Travel required up to 20%.

Full Time
Must be able to apply for and maintain a U.S. Government Security Clearance
Job Description
The EndoSec Hardware Security and Vulnerability Analyst is responsible for extracting and analyzing firmware and data at rest, identifying vulnerabilities in software, firmware, and hardware, as well as developing proof of concept exploits. The candidate will collaborate with other engineers and security experts to find and exploit security flaws and vulnerabilities within devices and designs as well as to build secure and efficient systems, contributing to our products and services' ongoing security and privacy. This is a remote position.
Key Responsibilities
  1. System Analysis: Analyze systems to understand functionality, failure points, and consequences of failure.
  2. Security Measure Circumvention: Bypass implemented security measures to gain access to sensitive data, including enabling debugging, forging or bypassing signatures, gaining elevated privileges, and simulating environmental and working conditions.
  3. Binary Code Extraction and Analysis: Extract firmware, executables, and other sensitive data from embedded systems and analyze the extracted code for possible vulnerabilities and sensitive data, e.g. passwords, cryptographic keys, etc.
  4. Side-Channel Analysis and Fault Injection: Setup and perform side-channel analysis to recover sensitive data, e.g. cryptographic keys, sensitive plaintext, etc. Setup and perform fault injection attacks to bypass security measures and/or recover sensitive data.
  5. Exploit Development: Develop custom and novel exploits to bypass security measures, recover sensitive data, or gain elevated privileges in embedded systems.
  6. Documentation: Prepare detailed documentation, including physical setups, testing procedures, and user guides, for reproducibility of found results and maintenance.
  7. Continuous Learning: Stay current with the latest advancements in reverse engineering and hardware security to continually refine and enhance skills.

Position Requirements
Position Requirements
  1. Ability to obtain and maintain a US government security clearance.
  2. Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field.
  3. Experience reverse engineering embedded systems including using standard tools such as IDA Pro, Ghidra, etc.
  4. Experience working with FPGAs, hardware description languages (VHDL, Verilog), microcontrollers, SoCs, and related hardware (Flash, SRAM, DRAM, etc.).
  5. Strong programming skills in scripting languages (Python, JavaScript, bash) and C/C++ for hardware/software integration.
  6. Experience standard interfaces (AXI, SPI, UART, JTAG).
  7. Strong analytical and problem-solving skills, with the ability to understand complex software and hardware designs.
  8. Strong documentation skills and the ability to convey complex information clearly and effectively.
  9. Collaborative mindset and excellent communication skills to work effectively with cross-functional teams.
  10. Experience in hardware security and reverse engineering techniques.

Preferred Qualifications
  • Advanced degree (M.S. or Ph.D.) in Electrical Engineering, Computer Engineering, or a related field.
  • Knowledge of cryptographic algorithms and experience implementing mathematical algorithms in hardware or software.
  • Experience in tamper detection and anti-reverse engineering techniques.

Full-Time/Part-Time
Full-Time
This position is currently accepting applications.
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About EndoSec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

11 - 50 Employees

Headquarters location

Washington, DC, US

Year founded

2013

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