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Remote Data Jobs in Columbus, OH (NOW HIRING)

CSAA

Enterprise Data Architect - Remote

Delaware, OH · Remote

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect - Remote (Open) Location Arizona - Home Teleworkers Additional Locations Alabama - Home Teleworkers ...

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All JobsData JobsRemote Data JobsRemote Data Jobs in Columbus, OH

Remote Data information

See Columbus, OH salary details

$44.4K

$159.4K

$235.2K

How much do remote data jobs pay per year?

As of Jun 17, 2026, the average yearly pay for remote data in Columbus, OH is $159,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,900.00 and $164,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, especially with specialized skills in programming, statistics, and tools like SQL or Python. To reach $2000 weekly, professionals often need extensive experience, a strong portfolio, and may work as freelancers or in consulting, often requiring a full-time schedule or multiple projects simultaneously.

What job makes $10,000 a month without a degree?

Remote data-related roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month without a formal degree, especially with strong skills in SQL, Python, or data visualization tools. Success in these roles often depends on experience, portfolio, and the ability to secure high-paying clients or positions, rather than formal education alone.

How to make $1000 a week remotely?

Remote data-related jobs such as data analysis, data entry, or data management can offer opportunities to earn $1000 weekly, especially with high-demand skills like SQL, Excel, or Python. Achieving this income typically requires consistent work, specialized skills, and possibly freelance or contract work arrangements that pay per project or hourly rates of $25-$50 or more.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Columbus, OH? The most popular types of Data jobs in Columbus, OH are:
What are popular job titles related to Remote Data jobs in Columbus, OH? For Remote Data jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Columbus, OH look for? The top searched job categories for Remote Data jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data jobs? Cities near Columbus, OH with the most Remote Data job openings:
Remote Data jobs near you
Infographic showing various Remote Data job openings in Columbus, OH as of June 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $159,391 per year, or $76.6 per hour.

C++ Developer with DevOps and Cloud Exp

Hirekeyz Inc

Columbus, OH • On-site

$47.25 - $63.75/hr

Contractor

Posted 21 days ago

Job description

Role: C++ Developer with DevOps and Cloud Exp
 
Location: Wilmington, DE,/Plano, TX/Columbus, OH
 
Job Type: Contract/W2
 
 
Job Description:
 
Skills:
 
Extensive C++ programming, OO Design, problem solving and debugging
 
·         Min 5yrs+ of experience in software dev with extensive C++ programming, OO Design, problem solving and debugging skills
·         Expertise in windows development using VC++,MFC UI, C# and webservices
·         Software development experience with focus on building desktop applications with C++/MFC using Microsoft Visual Studio
·         Solid understanding of Windows development with Visual Studio(STL, COM,ATL/MFC, multithreading, networking, WIN32 API, Windows internal
·         Experience in SCRUM/Agile development process
·         Experience with development collaboration tools(JIRA, Git etc.)
·         Experience working with remote data via REST and JSON Effective communication and teamwork skills, including the ability to collaborate with cross-functional teams