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Remote Analytics Engineer Jobs in Nevada (NOW HIRING)

Motional

Machine Learning Systems Engineer

Las Vegas, NV · On-site +1

$144K - $192K/yr

Exceptional analytical and problem-solving skills, with a bias for action and a data-driven ... be fully remote. The salary range for this role is an estimate based on a wide range of ...

Fusion HCR

Sr. SCADA Systems Analyst

Las Vegas, NV · Remote

Contract to Hire - SCADA Systems Analyst, this is a remote opportunity, working with our client in ... This role partners closely with operations, engineering, cybersecurity, infrastructure, and ...

Sierra Nevada Corporation

Pricing Analyst III

Sparks, NV · On-site +1

$85K - $117K/yr

Collaborate with finance, contracts, engineering, and other teams to gather comprehensive proposal ... Work in an office environment with the potential for hybrid or remote work settings. At Sierra ...

Motional

Associate RVA Instructor

Las Vegas, NV · Remote

Facilitate instructor-led training for new and existing Remote Operations personnel on standard ... cause analysis. * Collaborate cross-functionally with Engineering and other stakeholders to ...

Motional

Associate RVA Instructor

Las Vegas, NV · Remote

Facilitate instructor-led training for new and existing Remote Operations personnel on standard ... cause analysis. * Collaborate cross-functionally with Engineering and other stakeholders to ...

UnitedHealth Group

Senior Healthcare Analyst

Las Vegas, NV · Remote

$82K - $103K/yr

This position is Remote in Pacific Time Zone. You will have the flexibility to work remotely* as ... analytics, business intelligence, data engineering, or a related technical role * Advanced SQL ...

State of Nevada (NV)

MANAGEMENT ANALYST 2

Carson City, NV · On-site +1

$64K - $95K/yr

This position is responsible for the programming and scheduling of transportation projects. This ... Please note that this position is on-site and does not offer remote work options. The Job Duties ...

Vay

Operational Safety Lead

Las Vegas, NV · Remote

This is a rare opportunity to take ownership of operational safety for Vay's remote driving ... Drive root cause analyses and oversee the implementation of corrective and preventive actions * Act ...

Deloitte

Hospital Billing Operator

Las Vegas, NV · Remote

$17.50 - $22.50/hr

As an Epic Hospital Billing Analyst, you will help review and submit hospital claims, resolve ... This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ...

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All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Nevada

Remote Analytics Engineer information

See Nevada salary details

$46.3K

$94.9K

$138K

How much do remote analytics engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote analytics engineer in Nevada is $94,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $120,200.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are popular job titles related to Remote Analytics Engineer jobs in Nevada? For Remote Analytics Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Nevada look for? The top searched job categories for Remote Analytics Engineer jobs in Nevada are:
What cities in Nevada are hiring for Remote Analytics Engineer jobs? Cities in Nevada with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Business Document AI Trainer - Remote

Business Document AI Trainer - Remote

micro1 AI

Las Vegas, NV • Remote

$35 - $50/hr

Part-time

Posted 6 days ago

Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.

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