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Remote Entry Level Data Analyst Jobs in Ohio (NOW HIRING)

Quadax, Inc.

Data Science Analyst

Cleveland, OH · On-site +1

Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA ... Ability to analyze complex data sets and create actionable insights * Uses knowledge of business ...

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Remote Data Entry Clerk

Columbus, OH · Remote

$16.50 - $22/hr

Remote Data Entry Clerk - Typing - Part Time Entry Level This is your chance to begin a lifelong career with endless opportunity. Find the liberty you've been trying to find by taking a moment to ...

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Remote Entry Level Data Analyst information

How to get a job as a data analyst with no experience?

To secure an entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Gain practical experience by working on personal projects, volunteering, or participating in internships to demonstrate your ability to analyze data and communicate insights effectively.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

How to make $2000 a week working from home?

A remote entry-level data analyst can increase earnings by gaining skills in data visualization, SQL, and Excel, and by taking on multiple freelance or contract projects. Earning $2000 weekly typically requires working full-time hours, building a strong portfolio, and possibly obtaining relevant certifications to attract higher-paying opportunities.

Is it possible to get a remote job as a data analyst?

Yes, remote entry-level data analyst positions are widely available, especially as many companies adopt flexible work arrangements. These roles typically require skills in data visualization, SQL, and Excel, and often involve using tools like Tableau or Power BI. Candidates should have a basic understanding of data analysis concepts and may need to demonstrate proficiency through assessments or certifications.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to make $1000 a week remote?

A remote entry-level data analyst can aim to earn $1000 weekly by working multiple part-time or freelance projects, leveraging skills in Excel, SQL, or data visualization tools. Building a strong portfolio, obtaining relevant certifications, and applying to multiple clients or companies can increase earning potential, especially when working consistently and efficiently.
What are the most commonly searched types of Remote Data Analyst jobs in Ohio? The most popular types of Remote Data Analyst jobs in Ohio are:
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What cities in Ohio are hiring for Remote Entry Level Data Analyst jobs? Cities in Ohio with the most Remote Entry Level Data Analyst job openings:
Remote Entry Level Data Analyst jobs near you
Infographic showing various Remote Entry Level Data Analyst job openings in Ohio as of July 2026, with employment types broken down into 6% Internship, 62% Full Time, 11% Part Time, and 21% Contract. Highlights an 100% Remote job distribution.
Data Science Analyst

Data Science Analyst

Quadax, Inc.

Cleveland, OH • On-site, Remote

Full-time

Posted 15 days ago

Quadax rating

7.0

Company rating: 7.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

164th of 209 rated software companies

Job description

Summary:

Quadax, an award-winning leader in healthcare revenue cycle technology, is seeking a Data Science Analyst to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. You’ll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL, Excel, Snowflake), apply appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the desired business benefits. You’ll work closely with product managers, other data scientists, engineers, and business analysts to ensure clear definition of all requirements and translating them into value. You’ll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization, Snowflake for data management & sharing, and Azure Foundry for all modeling. Local candidates preferred. Open to remote employees ONLY in: OH (if residence is outside a reasonably commutable distance), PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.

Responsibilities:

  • Ability to analyze complex data sets and create actionable insights
  • Uses knowledge of business objectives, strategies, and needs to identify opportunities where data can be leveraged to achieve the desired business benefits
  • Understands current data context, processes and availability, and how current data processes and existing data can be leveraged to achieve the desired benefits
  • Prepares and analyzes data. This can include - locating, profiling, cleansing, extracting, mapping, importing, transforming, validating, or modeling
  • Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality
  • Performs validation and testing to confirm the accuracy of the information created
  • Interprets results of analyses, identifies trends, and issues, and develops recommendations to support business objectives
  • Communicates complex information so that it is easy to understand and influences others to take action based on the useful information provided
  • Facilitate the design and development of product features
  • Interview subject matter experts, customers, and other stakeholders to identify and clarify requirements
  • Establish rapport with stakeholders and ensure that their questions and concerns are clearly documented
  • Present on-time delivery of requirements and user stories/specifications
  • Support the creation and maintenance of project documentation
  • Write user stories, technical requirements for projects including complex business rules, logic flow diagrams, conditional logic, use cases and specific workflows

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working in Data Science
  • Professional experience with, and more than a basic understanding of AI technology
  • Proficient in building process flow diagrams and data mapping
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Extensive experience working in a BI environment and familiarity with data warehouses
  • Extensive experience in gathering and documenting business requirements
  • Strong business acumen and data analysis skills and the ability to identify customer needs, analyze them against available solutions, and identify gaps
  • Interprets and presents data analysis results including explanation of statistical and financial techniques used, assumptions made and summary of results
  • Excellent written and verbal communication skills

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