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Remote Analytics Engineer Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$99K - $136K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data analytics & engineering space to solve our clients ...

RCS Staffing

Mid-Level Analytical Engineer

Akron, OH · On-site +1

This is a full-time direct-hire Office Based/Remote assignment with our client. This position ... Overview of YOUR role as an Analytical Engineer (Mid Level) The Mid-Level Analytical Engineer ...

Gifthealth Inc

Analytics Reporting Manager

Columbus, OH · Remote

$115K - $140K/yr

Partner with engineering, product, and clinical leadership to translate complex business ... Location : Remote Employment Classification Status: Full-time FLSA: Exempt Equal Employment ...

Riverside Research

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 ...

Navstar

Software Engineer II (SE2 - Remote)

Dayton, OH · On-site +1

... Engineer II to join our dynamic team on a remote basis, building secure, scalable, and high ... Write analysis reports and develop briefings. * Work independently and in a team environment.

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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 Jun 19, 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 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 the most commonly searched types of Analytics Engineer jobs in Ohio? The most popular types of Analytics Engineer jobs in Ohio are:
What are popular job titles related to Remote Analytics Engineer jobs in Ohio? For Remote Analytics Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Ohio look for? The top searched job categories for Remote 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:
Remote Analytics Engineer jobs near you

Senior Analytics Engineer 2026 - US,UK

Aimpoint Digital

On-site, Remote

$99K - $136K/yr

Full-time

Posted 13 days ago

Job description

Do you enjoy working with clients from different industries to investigate complex business problems and designing end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data analytics & engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal analytics solutions.
You will:
  • Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions
  • Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries
  • Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases
  • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
  • Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD
  • Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance
  • Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code
  • Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical products and trusted datasets that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Analytics Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages, with deep expertise in SQL
  • 3+ years of data modeling experience, including dimensional modeling, star schema, entity-relationship design, and analytics-focused modeling best practices
  • 3+ years building data pipelines in production, with the ability to work across structured, semi-structured and unstructured data
  • 3+ years writing clean, maintainable, and robust code in SQL and/or Python
  • 2+ years' experience with dbt Core and/or dbt Cloud required
  • Ability to manage an individual workstream independently
  • Expertise in software engineering concepts and best practices, including version control, testing, documentation, and CI/CD
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms such as AWS, Azure, or GCP preferred
  • Experience defining metrics, semantic layers, and reusable business logic for analytics consumption preferred
  • Familiarity with modern BI and visualization platforms such as Power BI, Tableau, or Sigma preferred
  • Experience enabling or accelerating analytics engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Consulting experience strongly preferred

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.

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