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Remote Analytics Engineer Jobs in Ohio (NOW HIRING)

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... analysis and remote sensing technologies to answer specific science, technology, and innovation ... Bachelor's degree in Electrical Engineering, Physics, or comparable technical degree; non-technical ...

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Showing results 1-20

Remote Analytics Engineer information

See Ohio salary details

$43.3K

$88.6K

$128.8K

How much do remote analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote analytics engineer in Ohio is $88,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $112,200.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

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 as a remote analytics engineer?

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.

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

The most popular types of Analytics Engineer jobs in Ohio are:

What cities in Ohio are hiring for Remote Analytics Engineer jobs?

Cities in Ohio with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Ohio as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $88,585 per year, or $42.6 per hour.

Remote Senior Analytics Engineer: AI-Driven Energy Insights

1KOMMA5° Bremen

New Bremen, OH • Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

1KOMMA5° Bremen is seeking an Analytics Engineer to build trusted data foundations and enable teams across seven international markets to measure outcomes and demonstrate impact. You will create scalable data models and analytics foundations powering decision-making in real time. You will work with SQL, Python, BigQuery and Looker, turning questions into scalable analytics solutions. This role offers remote Germany-wide work, strong collaboration with product teams, and opportunities to #J-18808-Ljbffr