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

... 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 conducting data analysis to support decision-making ...

Import, clean, manage and structure data for analysis. * Create interactive and insightful dashboards and reports using tools such as Tableau or Power BI. * Analyze data to identify trends, patterns ...

Import, clean, manage and structure data for analysis. * Create interactive and insightful dashboards and reports using tools such as Tableau or Power BI. * Analyze data to identify trends, patterns ...

... Analysis & Insights Analyze large, complex identity and access datasets to identify trends, anomalies, and risk indicators Transform raw data into meaningful insights to support IAM operational ...

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 ...

Remote work is not available. Applicants must be authorized to work in the United States for any ... Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing ...

Remote work is not available. Applicants must be authorized to work in the United States for any ... Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing ...

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Remote Data Analysis information

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Columbus, OH? The most popular types of Data Analysis jobs in Columbus, OH are:
What job categories do people searching Remote Data Analysis jobs in Columbus, OH look for? The top searched job categories for Remote Data Analysis jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Data Analysis jobs? Cities near Columbus, OH with the most Remote Data Analysis job openings:
Data Engineer/Analyst

Data Engineer/Analyst

iSpace, Inc

Raymond, OH • Hybrid

$57/hr

Other

Posted 18 days ago


Job description

***** IT'S A W2 CONTRACT ROLE, NO C2C/1099 *****

Title: Data Analyst / Engineer

Location: 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 conducting data analysis to support decision-making processes within the organization. The ideal candidate will have a strong analytical mindset, excellent communication skills, and the ability to work collaboratively with cross-functional teams.

TOP SKILLS

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven 3-5 years of experience in a Data Analyst role.
  • Strong proficiency in AWS services (S3, Redshift, Lambda, etc.).
  • Excellent analytical and problem-solving skills.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong SQL skills and familiarity with database management.
  • Ability to lead and manage tasks and activities effectively.
  • Excellent communication and collaboration skills.
  • Ability to work both independently and collaboratively in a team-oriented environment.
  • Preferred Qualifications:
  • Experience with machine learning and AI tools.
  • Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.
  • Knowledge of data warehousing concepts and ETL processes.