3

Remote Entry Level Data Analyst Jobs in Akron, OH

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 ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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 ...

Provide remote troubleshooting and diagnostic support for installation and service issues * Guide ... Experience analyzing service data and identifying trends * Familiarity with quality control ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

next page

Showing results 1-20

Remote Entry Level Data Analyst information

See Akron, OH salary details

$12

$31

$59

How much do remote entry level data analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote entry level data analyst in Akron, OH is $31.50, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $35.19 per hour, depending on experience, location, and employer.

What is a remote entry level data analyst?

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.

What does a remote entry level data analyst do?

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 are the key skills and qualifications needed to thrive as a remote entry level data analyst?

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 get a job as a remote entry level data analyst with no experience?

To secure a remote 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. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

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

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant certifications or coursework. Many companies offer remote work options for entry-level analysts, especially in the current digital and flexible work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Akron, OH?

The most popular types of Remote Data Analyst jobs in Akron, OH are:

What are popular job titles related to Remote Entry Level Data Analyst jobs in Akron, OH?

For Remote Entry Level Data Analyst jobs in Akron, OH, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Analyst jobs in Akron, OH look for?

The top searched job categories for Remote Entry Level Data Analyst jobs in Akron, OH are:

What cities near Akron, OH are hiring for Remote Entry Level Data Analyst jobs?

Cities near Akron, OH with the most Remote Entry Level Data Analyst job openings:

Infographic showing various Remote Entry Level Data Analyst job openings in Akron, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $65,521 per year, or $31.5 per hour.

Data Science Analyst

Quadax, Inc.

Middleburg Heights, OH • On-site, Remote

Full-time

Posted 2 days ago

New


Quadax rating

7.5

Company rating: 7.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

166th of 247 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
  • Design and develop AI/ML solutions using Azure AI services.
  • Build and optimize document intelligence solutions using OCR, LLMs, and hybrid approaches.
  • Support the creation and maintenance of project documentation
  • Develop, train, and deploy machine learning models for production workloads.

Qualifications:

  • Healthcare revenue cycle experience with hospitals, providers, and/or other healthcare delivery organizations
  • 2+ years of experience working as an IT Data Analyst or in Data Science
  • Strong Python programming skills and experience with common ML frameworks (scikit-learn, XGBoost)
  • Experience with agile development and software development life cycle (SDLC) processes
  • Proficiency with SQL programming
  • Experience with Microsoft Azure, including Azure AI/AI Foundry and related AI services
  • 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

What Quadax employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom