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Remote Analytics Engineer Jobs in Columbus, OH (NOW HIRING)

Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role, person will be responsible for ...

Bachelor's degree in Construction Management, Engineering, Project Controls, Information Systems ... Comfortable working independently onsite while coordinating with remote analytics and leadership ...

Okta Engineer Work Location: Columbus, OH or Plano, TX or Remote Duration: Long Term The Engineer ... Conduct data analysis exercises using Excel Pivot Tables, database queries, and other data driven ...

... other engineers -- who are driving real-world impact in AI development. Our platform offers an ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

Senior Data Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

Collaboration and Leadership Partner with data analysts, developers, and business stakeholders to ... Remote working arrangements may be available to non-local candidates. The range for this position ...

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Remote Analytics Engineer information

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$43.9K

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$130.9K

How much do remote analytics engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote analytics engineer in Columbus, OH is $90,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $114,000.00 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 Columbus, OH? The most popular types of Analytics Engineer jobs in Columbus, OH are:
What job categories do people searching Remote Analytics Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Analytics Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Analytics Engineer jobs? Cities near Columbus, OH with the most Remote Analytics Engineer job openings:
Sr Software Engineer, Data & Analytics

Sr Software Engineer, Data & Analytics

McGraw-Hill Education

Columbus, OH • Remote

$124K - $155K/yr

Other

Posted yesterday


McGraw Hill rating

8.0

Company rating: 8.0 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

8th of 17 rated publishing


Job description

Overview

Build the Future
At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well-being.

How can you make an impact?

We are a passionate, fast-growing team within McGraw Hill, a global education technology company that is transforming the way students learn and succeed. Our new product has scaled from Minimum Loveable Product to hundreds of thousands of users, has been featured on the App Store, and has paying customers in its first year of launch.

As we continue to grow, we are seeking a Sr. Software Engineer - Analytics to help us build a best-in-class data ecosystem that powers insights, decision-making, and personalized user experiences. As a Sr. Analytics Engineer, you'll own the design, development, and maintenance of Sharpen's data pipelines and modeling layers. You'll work closely with data scientists, analysts, and product teams to ensure the availability and accuracy of data across the organization. This is a critical technical role that bridges data engineering and analytics, ensuring that our data infrastructure is scalable, reliable, and optimized for analytics and business intelligence.

This is a remote position open to applicants authorized to work for any employer within the United States.

What You'll Do:

  • Design, build, and maintain scalable data pipelines that support analytics, reporting, and product insights.
  • Develop and optimize the data modeling layer to ensure high performance, maintainability, and usability for analytics and BI tools.
  • Collaborate with cross-functional teams, including product, engineering, and business teams, to define data requirements and deliver actionable insights.
  • Implement best practices for data quality, governance, and security across the data infrastructure.
  • Drive adoption of self-service analytics by building clear, user-friendly data models and documentation.
  • Evaluate and integrate new data tools and technologies to continuously improve Sharpen's data stack.
  • Monitor and troubleshoot data pipelines, ensuring timely resolution of issues to maintain reliability and uptime.
  • Partner with stakeholders to develop KPIs, dashboards, and reporting frameworks that drive data-driven decision-making

What You Bring:

  • Bachelor's degree in related field or equivalent experience preferred.
  • Minimum of 5+ years of applicable experience.
  • Strong experience with modern data stack tools (e.g., dbt, BigQuery).
  • Strong proficiency in SQL and experience designing, optimizing, and maintaining complex data models.
  • Experience with ETL/ELT tools and frameworks (e.g., Airflow, Fivetran, or similar).
  • Experience with event-based analytics platforms (e.g., Segment).
  • Solid understanding of data warehousing principles and architecture.
  • Expertise with business intelligence and visualization tools such Tableau or Power BI.
  • Experience with Python, R, or other scripting languages for data transformation and analysis.
  • Knowledge of data governance, compliance, and security best practices.
  • Ability to balance engineering rigor with a practical understanding of business and analytics needs.
  • Strong communication and collaboration skills to work with technical and non-technical stakeholders.

Preferred Experience & Skills:

  • Experience in an EdTech, startup, or consumer-facing environment.
  • Experience with observability tools like New Relic, Datadog, or equivalent for performance monitoring.
  • Strong knowledge of system performance optimization, caching strategies, and distributed systems.

Why work for us?

The work you do at McGraw Hill will be work that matters. We are collectively designing content that will build the future of education. Play your part and experience a sense of fulfilment that will inspire you to even greater heights.

The pay range for this position is between $124,000- $155,000 annually, however, base pay offered may vary depending on job-related knowledge, skills, experience, and location.An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and/or other benefits, depending on the position offered. Click here to learn more about our benefit offerings.

McGraw Hill recruiters always use a "@mheducation.com" email address and/or from our Applicant Tracking System, iCIMS. Any variation of this email domain should be considered suspicious. Additionally, McGraw Hill recruiters and authorized representatives will never request sensitive information in email.

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McGraw Hill uses an automated employment decision tool (AEDT) to assist in the screening process by recommending candidates with "like skills" based on resume and job data. To request an alternative screening process, please select "Opt-Out" when asked to "Consent to use of Automated Employment Decision Tools" during the application.


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