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Entry Level Data & Analytics Jobs in Ohio (NOW HIRING)

Formica

Business Intelligence Analyst

Cincinnati, OH · On-site

Previous BI or analytics internship or entry-level work experience. * Exposure to Manufacturing Operations * Understanding of best practices for data visualization, UX for dashboards, and data ...

Reliance One

Entry-Level Engineer

Toledo, OH

$27.58/hr

Entry-Level Product Quality Engineer Toledo, Ohio, United States $27.58 per hour Contract ... Analyze data and identify opportunities for process and product improvements • Assist with ...

AV

Entry-Level Software Engineer

Dayton, OH · On-site

They are seeking an entry-level Software Engineer to support NASIC at Wright-Patterson AFB by writing and maintaining source code repositories for data analysis tools that aid in producing technical ...

Manpower Inc. of Toledo

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Electrical Quality Engineer - Automotive Launch

Toledo, OH · On-site

$26 - $27.50/hr

This role is ideal for entry-level or early-career engineers who want hands-on experience working ... Analyze warranty data and customer concerns * Perform root cause analysis (RCA) on defects

Manpower Inc. of Toledo

Be Seen First

Electrical Quality Engineer - Automotive Launch

Toledo, OH · On-site

$26 - $27.50/hr

This role is ideal for entry-level or early-career engineers who want hands-on experience working ... Analyze warranty data and customer concerns * Perform root cause analysis (RCA) on defects

SynergisticIT

Software Engineer (Remote)

Cincinnati, OH · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

Sogeti

Entry Level Technology Consultant

Columbus, OH · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering ...

HR4Me

Entry Level Finance Analyst

Cincinnati, OH · On-site

Analyze financial data to identify trends, risks, and opportunities for growth, providing strategic recommendations to senior leadership. • Business Partnering: Collaborate with different ...

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Entry Level Data Analytics information

See Ohio salary details

$31.4K

$77.5K

$133.1K

How much do entry level data & analytics jobs pay per year?

As of Jun 27, 2026, the average yearly pay for entry level data & analytics in Ohio is $77,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $91,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Entry Level Data & Analytics professional?

As an Entry Level Data & Analytics team member, your daily tasks often involve gathering, cleaning, and preparing datasets, conducting basic analyses, and creating data visualizations to help explain findings. You'll frequently collaborate with senior analysts or managers, supporting ongoing projects by generating reports or troubleshooting data issues. This role also requires you to communicate your insights to both technical and non-technical colleagues, so clear documentation and presentation skills are valuable. Over time, you'll gain exposure to more complex analytical work and opportunities to specialize as you grow in your career.

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

To thrive as an Entry Level Data & Analytics professional, you need a basic understanding of statistics, data analysis, and data visualization, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with analytical tools such as Excel, SQL, Python, or Tableau, and any relevant certifications (like Google Data Analytics or Microsoft Excel certification) are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable recommendations for stakeholders. These competencies are crucial for ensuring accurate data interpretation and meaningful contributions to business decision-making.

Is 40 too late for data science?

Entry level data & analytics roles are accessible at age 40 and beyond, as skills in programming, statistics, and data visualization are more important than age. Many professionals successfully transition into data science later in their careers by gaining relevant certifications and practical experience. Age is generally not a barrier if you develop the necessary technical skills and stay current with industry tools.

How can I get into data analytics with no experience?

Entry level data and analytics roles often require foundational skills in Excel, SQL, or data visualization tools like Tableau. Gaining relevant knowledge through online courses, certifications, or personal projects can help demonstrate your abilities to employers without prior work experience.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but entry-level data analysts are still essential for interpreting results, making strategic decisions, and providing context. AI enhances productivity but does not fully replace the need for human judgment, communication skills, and domain knowledge in data and analytics roles.

What is an Entry Level Data & Analytics job?

An Entry Level Data & Analytics job involves collecting, processing, and analyzing data to help organizations make informed decisions. Responsibilities may include cleaning datasets, creating reports, and using tools like Excel, SQL, or Python to extract insights. These roles often require strong analytical thinking, attention to detail, and proficiency in data visualization tools. Entry-level employees typically work under the guidance of senior analysts or data scientists to develop skills and gain industry experience.

Do entry-level data analyst jobs exist?

Yes, entry-level data analyst jobs are widely available and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often focus on data collection, cleaning, and reporting, making them accessible to recent graduates or those transitioning into data careers.
What are popular job titles related to Entry Level Data & Analytics jobs in Ohio? For Entry Level Data & Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Entry Level Data & Analytics jobs in Ohio look for? The top searched job categories for Entry Level Data & Analytics jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data & Analytics jobs? Cities in Ohio with the most Entry Level Data & Analytics job openings:
Entry Level Data Analytics jobs near you
Business Intelligence Analyst

Business Intelligence Analyst

Formica

Cincinnati, OH • On-site

Other

Posted 26 days ago

Job description

Business Intelligence Analyst

We are seeking a curious, motivated, early-career Business Intelligence Analyst to join our growing analytics team. This role is ideal for candidates with strong academic or internship experience in data analytics, business analytics, or related fields who are excited to apply and expand their skills in real-world problem solving. While fluent in all things related to data analytics, the candidate should have a desire to understand business or operations workflows and fundamentals.

The ideal candidate brings strong academic or internship experience in business analytics, enjoys problem solving, and is eager to learn tools such as Qlik Sense and Alteryx. They should also have a foundation in analytics concepts, an eye for detail, and a desire to understand new technologies and business processes. This role will directly support ongoing improvements to our analytics environment, including data modeling, dashboard development, and enabling self-service analytics for end users in multiple departments, with a specific focus on Operations.

Key Responsibilities
  • Build, maintain, and enhance dashboards and visualizations in Qlik (prior Qlik experience not required).
  • Develop repeatable data preparation workflows in Alteryx to support reporting and analysis needs.
  • Assist with creating automated reporting solutions and data pipelines.
  • Validate data logic, calculations, and visualizations for consistency and accuracy.
  • Perform exploratory data analysis to identify patterns, anomalies, and actionable insights.
  • Perform data validation and troubleshooting analysis to understand trends, errors, or anomalies.
  • Assist with data modeling tasks, including preparing new fields, refining dimensions, and supporting fact table logic.
  • Support analytics projects by translating business questions into analytical approaches with research, data validation, and clear documentation.
  • Work with cross-functional teams to understand requirements, refine user needs, and deliver data-driven recommendations.
  • Present findings in a clear, concise manner to business stakeholders.
  • Contribute to team best practices related to version control, visualization standards, and workflow management.
  • Respond to ad-hoc data and reporting requests, helping stakeholders find answers through self-service tools where possible.
  • Contribute to larger BI initiatives such as data warehouse updates, dashboard redesigns, or analytics process improvements.
  • Support iterative development cycles by gathering user feedback, testing solutions, and documenting changes.
  • Proactively suggest enhancements to reports, workflows, or data structures.
Qualifications

Required

  • Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Statistics, or related field.
  • Academic or internship experience with data analysis, business analytics, or BI coursework.
  • Exposure to at least one visualization tool (Qlik Sense, Tableau, Power BI, Looker, etc.).
  • Familiarity with data modeling concepts (dimensions, facts, star schemas).
  • Strong analytical mindset, curiosity, and willingness to learn new tools and methods to break down ambiguous problems.
  • Foundational understanding of data modeling, structured problem solving, and analytics concepts.
  • Ability to communicate clearly with both technical and non-technical users.

Preferred

  • Master's degree or coursework in Business Analytics and/or major minor in Operations Management.
  • Previous BI or analytics internship or entry-level work experience.
  • Exposure to Manufacturing Operations
  • Understanding of best practices for data visualization, UX for dashboards, and data storytelling.
  • Experience working with data preparation tools (e.g., Alteryx, KNIME, SSIS).
  • Basic experience with SQL, Python, R, or another scripting/query language (coursework or project-based experience accepted).

Key Competencies

  • Analytical and critical thinking
  • Strong attention to detail and data accuracy
  • Ability to learn new tools and frameworks quickly
  • Problem-solving mindset and ability to break down complex issues
  • Professional curiosity and effective communication
  • Collaborative mindset and service-oriented approach
  • Comfort working with multiple stakeholders and shifting priorities

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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