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Remote Data & Analytics Jobs in Cleveland, OH (NOW HIRING)

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Director Business Operations and Data Insights

Richfield, OH · On-site +1

$220K - $283K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Anywhere in the US Hybrid if in San Jose CA or San Francisco, California Remote if no office is local. Meet the Team The Data Analytics and Operations team is responsible for transforming enterprise ...

Data Collection Specialist II

Cleveland, OH · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

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Remote Data Analytics information

See Cleveland, OH salary details

$23

$53

$91

How much do remote data & analytics jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for remote data & analytics in Cleveland, OH is $53.10, according to ZipRecruiter salary data. Most workers in this role earn between $42.64 and $60.14 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

Is data & analytics a good career for remote work?

Data & analytics roles are well-suited for remote work because they primarily involve computer-based tasks such as data analysis, visualization, and reporting using tools like SQL, Python, or Tableau. Many companies offer remote positions for data analysts, data scientists, and business intelligence professionals, often requiring strong communication skills and familiarity with cloud-based platforms. Remote work in this field provides flexibility and access to a global job market, making it a viable option for many professionals.

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

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

Is it possible to work remotely as a remote data & analytics?

Remote data and analytics roles are widely available, with many companies offering flexible work arrangements. These jobs often require proficiency in tools like SQL, Python, or Tableau and may involve collaboration via cloud-based platforms, making remote work feasible for qualified candidates.
What are the most commonly searched types of Data & Analytics jobs in Cleveland, OH? The most popular types of Data & Analytics jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Remote Data & Analytics jobs? Cities near Cleveland, OH with the most Remote Data & Analytics job openings:
Infographic showing various Remote Data & Analytics job openings in Cleveland, OH as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, and 15% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,438 per year, or $53.1 per hour.

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Re-posted 20 days ago


Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do
  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring
  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have
  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams