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Remote Data Analyst Jobs in Columbus, OH (NOW HIRING)

Rogue Fitness

Data Analyst

Columbus, OH · On-site

The Data Analyst is a fully onsite role in Columbus, Ohio ... Remote work is not available. Applicants must be authorized to work in the United States for any ...

Rogue Fitness

Data Analyst

Columbus, OH

The Data Analyst is a fully onsite role in Columbus, Ohio ... Remote work is not available. Applicants must be authorized to work in the United States for any ...

NSG Group

DATA ANALYST

Urbancrest, OH · On-site

Analyze data to identify trends, patterns, and insights that can inform project strategies. * Create reports to present findings and recommendations to project teams and stakeholders. * Ensure data ...

NSG Group

DATA ANALYST

Urbancrest, OH

Analyze data to identify trends, patterns, and insights that can inform project strategies. * Create reports to present findings and recommendations to project teams and stakeholders. * Ensure data ...

Mindlance

Data Analyst

Columbus, OH

This role will focus on analyzing identity data, delivering actionable insights, and building scalable automation and reporting solutions using low-code/no-code platforms. The ideal candidate is ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · Hybrid

$57/hr

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 ...

GXO Logistics

Data Analyst

New Albany, OH · On-site

Gather data and research the results using statistical techniques and advanced analytics tools; interpret results in a way that can be easily understood * Develop and implement advanced data research ...

Aep

Data Analyst

New Albany, OH

$63K - $79K/yr

Gather and organize data for metrics and reporting * Develop a strong working knowledge of analytics platforms, including Microsoft Power BI, Excel, Cognos, and various databases * Develop and apply ...

New

Collabera

Data Analyst

Hilliard, OH · On-site

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining scope of impact Recommend options to resolve issues Find meaningful insights and communicate insights ...

Gifthealth Inc

Sr. Data Analyst

Columbus, OH

$83K - $104K/yr

The Senior Data Analyst will collaborate closely with both internal and client-facing teams to ensure seamless alignment across all analytics initiatives, performance measurement, and key insights.

The Hartford

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

Express & Bonobos

Customer Data Analyst

Columbus, OH · On-site

Location Name Columbus Corporate Headquarters Responsibilities POSITION OVERVIEW The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across ...

Express

Customer Data Analyst

Columbus, OH · On-site

Location Name Columbus Corporate Headquarters Responsibilities POSITION OVERVIEW The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Columbus, OH

Remote Data Analyst information

See Columbus, OH salary details

$31.8K

$77.2K

$127.1K

How much do remote data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data analyst in Columbus, OH is $77,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 per year, depending on experience, location, and employer.

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 degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available as remote jobs, allowing professionals to work from anywhere with a computer and internet connection. Remote data analysts often use tools like Excel, SQL, and data visualization software, and strong communication skills are important for remote collaboration.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

Is AI replacing data analysts?

AI tools are automating certain data processing tasks, but data analysts are still essential for interpreting complex data, making strategic decisions, and providing context. The role of a remote data analyst involves skills in data visualization, statistical analysis, and tools like SQL and Python, which complement AI capabilities rather than being replaced by them.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

What jobs pay 200,000 a year in the USA?

Remote Data Analysts typically do not reach $200,000 annually, but senior data analyst roles with extensive experience, advanced skills in SQL, Python, or R, and industry certifications can approach or exceed this level. High-paying data-related roles often involve leadership, specialized expertise, or working in industries like finance or technology. Executive or specialized data science positions are more likely to offer salaries at or above this threshold.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Columbus, OH? The most popular types of Data Analyst jobs in Columbus, OH are:
What are popular job titles related to Remote Data Analyst jobs in Columbus, OH? For Remote Data Analyst jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Columbus, OH look for? The top searched job categories for Remote Data Analyst jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data Analyst jobs? Cities near Columbus, OH with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Columbus, OH as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $77,214 per year, or $37.1 per hour.
Data Analyst

Data Analyst

Rogue Fitness

Columbus, OH • On-site

Full-time

Posted 11 days ago

Job description

Job Description:
Overview
The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed and shipped across the US, EU, Canada, and Australia. You'll develop the reporting leadership relies on, analyze carrier rates and surcharges, and respond to ad-hoc data requests that shape day-to-day business decisions. It carries a wide range of high-impact projects and significant room for ownership. Successful candidates are self-directed, organized, and eager to take problems from question through to solution.
The Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer.
Responsibilities
  • Build, maintain, and automate sales, cost, and ecommerce reporting across multiple regions and currencies
  • Develop and maintain SQL/BigQuery queries to deliver clean, reliable data to business partners
  • Analyze shipping and freight costs, including carrier rates, surcharges, dim-weight, and peak-season increases. Quantify the impact of rate changes and contract proposals
  • Maintain landed-cost, COGS, and manufacturing P&L models, including cost tracking and duty/tax reconciliation, and audit them for accuracy and variances
  • Automate recurring reporting through scheduled jobs and scripting. Reduce manual work and future-proof existing processes
  • Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing, sourcing, logistics
  • Identify issues and opportunities, then recommend and implement process and business improvements

Qualifications
  • Bachelor's degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar)
  • 0-3 years of analytics experience; new grads with strong relevant coursework, internships, or projects are encouraged to apply
  • Working knowledge of SQL (writing queries, joins, aggregations); exposure to BigQuery or another cloud data warehouse is a plus.
  • Advanced Microsoft Excel/Google Sheets skills, including building and maintaining complex models
  • Self-motivated and comfortable working in a fast-paced, deadline-driven environment with limited direction. A genuine go-getter who takes ownership
  • Strong organization and attention to detail across many concurrent projects
  • Familiarity with Python, R, or JavaScript preferred
  • Interest in or exposure to cost accounting, shipping/logistics, or manufacturing operations is a plus

By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue's preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.

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