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No Experience Data Analytics Jobs in Ohio (NOW HIRING)

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

This role is ideal for an analytical professional with 1-2 years of experience who is passionate about transforming data into actionable insights. The successful candidate will support data-driven ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

This role is ideal for an analytical professional with 1-2 years of experience who is passionate about transforming data into actionable insights. The successful candidate will support data-driven ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

This role is ideal for an analytical professional with 1-2 years of experience who is passionate about transforming data into actionable insights. The successful candidate will support data-driven ...

Additional Experience: * Bachelor's degree in Data Science, Statistics, Computer Science ... Experience using data analysis tools or languages (e.g., Python, R, SQL, or similar). * Ability to ...

New

GTM Engineer - Data & Analytics

Columbus, OH · On-site

$110K - $132K/yr

The GTM Engineer (Data & Analytics) will build data-driven GTM systems, automate pipelines, and ... Experience in React, Rails, Python or SQL. • Ability to show a portfolio of work: scripts ...

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No Experience Data Analytics information

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

Can I get into no experience data analytics with no experience?

No experience data analytics roles are designed for entry-level candidates and often do not require prior experience. Success typically depends on foundational skills in Excel, SQL, or programming languages like Python, along with a willingness to learn and relevant certifications or courses. Entry-level positions focus on training and skill development for those new to the field.

What are the most commonly searched types of Data Analytics jobs in Ohio?

The most popular types of Data Analytics jobs in Ohio are:

What are popular job titles related to No Experience Data Analytics jobs in Ohio?

For No Experience Data Analytics jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching No Experience Data Analytics jobs in Ohio look for?

The top searched job categories for No Experience Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for No Experience Data Analytics jobs?

Cities in Ohio with the most No Experience Data Analytics job openings:

Infographic showing various No Experience Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Data Analytics Supervisor

Columbus, OH • On-site

Full-time

Posted 14 days ago


Job description

Join Our Team!

Accepting applications for a Data Analytics Supervisor

Who Are We?

The Ohio Department of Developmental Disabilities (DODD) mission is to partner with people and communities to support Ohioans with developmental disabilities and their families in realizing their version of a good life. 

Ohio is the heart of opportunity, and we envision Ohio as the best place in the nation for people with developmental disabilities to thrive. Our core values reflect our focus on the experience of each person we support:

  • Inclusion 

  • Partnership

  • Respect

What does a Data Analytics Supervisor do?

  • Serves as data analyst supporting Major Unusual Incidents (MUI) and Compliance operations within the Department of Developmental Disabilities (DODD). 

  • Develops and maintains Tableau dashboards, reports, automated reporting solutions, and ad hoc analyses related to MUI activities, compliance reviews, provider oversight, county board oversight, and operational performance. 

  • Supports reporting and analytics activities using data from multiple DODD systems, including ITMS and RDS, as well as Medicaid claims and other health-related data sources. 

  • Analyzes data trends, patterns, and operational issues to support program staff, leadership, county boards, providers, and other stakeholders. 

  • Generates, tracks, and automates performance measures, ensuring timely tracking of agency goals, outcomes, and reporting requirements. 

  • Validates data accuracy and assists with identifying reporting, data quality, and system concerns. 

  • Responds to questions from county boards, providers, internal staff, and other stakeholders. 

  • Works independently to identify reporting needs, prioritize assignments, and develop data solutions that support agency operations and decision-making. 

  • Utilizes reporting and analytics tools including Tableau, SQL, Python, and other technologies, as appropriate.

  • Develops and maintains documentation, report definitions, business rules, and reporting standards.

  • Participates in office hours and provides guidance and support to report and dashboard users and stakeholders. 

  • Participates in agency-wide data committees, reporting workgroups, and data governance and data quality initiatives.

  • Coordinates with program areas and information technology staff to improve reporting processes, data quality, and understanding of DODD systems and business processes.

  • Maintains working knowledge of DODD systems, Medicaid and health-related data, and how data connects and flows across systems.

  • Supports emerging analytics, automation, and agentic AI initiatives that improve reporting, data access, operational efficiency, and user support.

  • Participates in and provides cross-training across reporting and analytics functions to promote knowledge sharing, ensure continuity of operations, provide backup coverage, and reduce reliance on single-person subject matter expertise.

  • Oversees data analytics college intern.

  • Serves as the primary data coordination contact for public records requests (PRR) under Ohio's Public Records Act (R.C. 149.43) involving reports, analytics, and DODD data.

  • Coordinates with program staff, leadership, legal staff, and other stakeholders to identify, review, prepare, validate, and deliver requested data and reporting materials.

  • Performs other related duties as assigned.

72 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques. 
OR
Completion of associate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 54 months' experience or training  in data analytics, statistical analysis, or research methods AND 12 months' experience  in supervisory &/or management principles & techniques. 
OR
Completion of undergraduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 48 months' experience or training in data analytics, statistical analysis, or research methods AND 12 months' experience in supervisory &/or management principles & techniques. 

OR

Completion of graduate core program in data analytics, computer science, information systems, computer engineering, applied mathematics, statistics, industrial/systems engineering, or related field AND 36 months' experience or training in data analytics, statistical analysis, or research methods; 12 mos. exp. in supervisory &/or management principles & techniques. 
OR
Equivalent of Minimum Class Qualifications For Employment noted above. 

Job Skill: Data Analytics, Data Visualization, Operational and Administrative Support, Leading Others, Developing Others, Confidentiality, Analyzation