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Remote Freelance Analytics Engineer Jobs in Illinois

YO AI Labs

CUDA Engineering Expert - Remote

Chicago, IL · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

Sargent & Lundy

Electrical Analytical Engineer 3

Chicago, IL · On-site +1

$74K - $113K/yr

... remote from home. The Electrical Analytical Division provides critical electrical analysis and ... This highly specialized team of power systems engineers collaborates closely with project teams and ...

YO AI Labs

CUDA Developer - Remote

Chicago, IL · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Analyze, profile, and optimize GPU kernels using CUDA and profiling tools. * Identify performance ...

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Remote Freelance Analytics Engineer information

What is the difference between Remote Freelance Analytics Engineer vs Data Analyst?

AspectRemote Freelance Analytics EngineerData Analyst
CredentialsOften requires technical skills in SQL, Python, or R; certifications like Google Data Analytics or Tableau are commonTypically needs a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are beneficial
Work EnvironmentRemote, project-based, freelance setup with flexible hoursRemote or on-site, employed by companies or agencies, with regular hours
Employer & Industry UsageUsed by startups, tech firms, consulting agencies for specialized projectsEmployed across industries for ongoing data reporting and analysis tasks

While both roles involve working with data, a Remote Freelance Analytics Engineer focuses on building and optimizing data systems and pipelines on a project basis, often requiring advanced technical skills. In contrast, a Data Analyst primarily interprets data to generate reports and insights, usually within a fixed employment setting.

Can I do freelancing in data analytics?

A Remote Freelance Analytics Engineer can work independently on data analysis projects for clients, often utilizing tools like SQL, Python, or R. Freelancing in data analytics requires strong technical skills, a portfolio of work, and the ability to manage client relationships and deadlines remotely.

Can you work remotely in data analytics?

Remote freelance analytics engineers can work from anywhere with a stable internet connection, as data analysis tasks often involve using cloud-based tools and programming languages like Python or SQL. Many companies and clients hire remote analytics professionals for project-based or ongoing work, making remote work a common arrangement in the field.

What are the most commonly searched types of Remote Analytics Engineer jobs in Illinois?

The most popular types of Remote Analytics Engineer jobs in Illinois are:

What cities in Illinois are hiring for Remote Freelance Analytics Engineer jobs?

Cities in Illinois with the most Remote Freelance Analytics Engineer job openings:

Remote Freelance Analytics Engineer jobs near you

CUDA Engineering Expert - Remote

YO AI Labs

Chicago, IL • Remote

$60 - $100/hr

Full-time

Posted 14 days ago

Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities

  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications

  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications

  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.