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Remote Analytics Engineer Jobs in Utah (NOW HIRING)

Graymont Limited

Remote Operations Engineer

Sandy, UT · On-site +1

$66K - $89.30K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Strong analytical and critical thinking skills with the ability to identify and resolve complex ...

ENFRA LLC

Energy Engineer PE II

Salt Lake City, UT · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE II

Salt Lake City, UT · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE II

Salt Lake City, UT · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE II

Salt Lake City, UT · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

ENFRA LLC

Energy Engineer PE II

Salt Lake City, UT · On-site +1

Applies engineering techniques and analyses within the scope of the assignment. * Energy ... Remote Monitoring * Collect and evaluate energy, weather, and building automation data on some ...

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Remote Analytics Engineer information

See Utah salary details

$41.4K

$84.8K

$123.4K

How much do remote analytics engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote analytics engineer in Utah is $84,828.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $107,400.00 per year, depending on experience, location, and employer.

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 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.
More about Remote Analytics Engineer jobs
What are the most commonly searched types of Analytics Engineer jobs in Utah? The most popular types of Analytics Engineer jobs in Utah are:
What are popular job titles related to Remote Analytics Engineer jobs in Utah? For Remote Analytics Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Utah look for? The top searched job categories for Remote Analytics Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Analytics Engineer jobs? Cities in Utah with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
Infographic showing various Remote Analytics Engineer job openings in Utah as of May 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution, with an average salary of $84,828 per year, or $40.8 per hour.
Remote Analytics Engineer & AI Trainer

Remote Analytics Engineer & AI Trainer

DataAnnotation

Salt Lake City, UT • On-site, Remote

$60/hr

Full-time

Posted 18 days ago

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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