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

Business Analyst- Campus

Beachwood, OH · On-site

$72.50 - $77.50/hr

Bachelor's degree in business, finance, management, economics, statistics, actuarial science, data science, data analytics, mathematics, engineering, computer science or a related field. Anticipated ...

Financial Analyst

Millersburg, OH · On-site

$70K - $85K/hr

Foundational experience through internships, projects, or entry-level finance roles * Proficiency in Excel (pivot tables, formulas) basic financial modeling, and data analysis tools * Strong ...

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

Entry-Level Geotechnical Engineer Requisition Number: 2026-1170-07 Are you just starting out or a ... Data Analysis & Technical Support: Analyze subsurface conditions, support laboratory testing ...

Entry-Level Geotechnical Engineer Requisition Number: 2026-1170-07 Are you just starting out or a ... Data Analysis & Technical Support: Analyze subsurface conditions, support laboratory testing ...

Entry-Level Geotechnical Engineer Requisition Number: 2026-1178-09 Are you just starting or a ... Data Analysis & Technical Support: Analyze subsurface conditions, support laboratory testing ...

Showing results 21-40

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 Sep 5, 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 is an entry level data & analytics?

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.

What does an entry level data & analytics do?

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?

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.

Can I get into entry level data & analytics with no experience?

Entry level data and analytics roles often do not require prior professional experience; instead, they focus on foundational skills such as Excel, SQL, or basic data visualization tools. Candidates can improve their chances by completing relevant online courses, certifications, or projects to demonstrate their ability to work with data.

How can I start a career in data & analytics?

To start a career in data & analytics, focus on developing skills in data analysis, statistics, and programming languages like Python or R. Gaining proficiency with tools such as Excel, SQL, and data visualization software, along with obtaining relevant certifications or a degree in a related field, can improve job prospects. Entry-level roles often require a strong foundation in data concepts and the ability to interpret and communicate insights effectively.

What are some entry level data & analytics roles?

Entry level data and analytics roles include positions such as Data Analyst, Business Analyst, Data Technician, and Junior Data Scientist. These roles typically require skills in Excel, SQL, and basic statistical tools, and often serve as starting points for careers in data analysis and data management.

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 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:

Infographic showing various Entry Level Data & Analytics job openings in Ohio as of August 2026, with employment types broken down into 7% Internship, 85% Full Time, 4% Part Time, 2% Contract, and 2% Summer. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $77,499 per year, or $37.3 per hour.

Managed Services - SAS BI Developer - Senior Associate

Pwc

Cleveland, OH

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Key responsibilities

  • Analyzing complex datasets to extract actionable insights and support data-driven decision-making

  • Developing and implementing data visualization solutions using tools like Power BI and Tableau

  • Managing data integrity and quality to validate reliable and accurate reporting


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Managed Services - SAS BI Developer - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Data, Analytics & AI practice, you will focus on utilizing data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, anticipate the needs of your teams and clients, and deliver quality solutions. You will navigate increasingly complex situations, growing your personal brand and enhancing your technical skills.
In this role at PwC, you will be part of a dynamic team that focuses on leveraging data to drive insights and make informed business decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while developing a deeper understanding of the business context and how it is evolving. This position offers the opportunity to deepen your skills in data analysis and client support, contributing to optimizing operations and achieving strategic goals.
Responsibilities
- Analyzing complex datasets to extract actionable insights and support data-driven decision-making
- Developing and implementing data visualization solutions using tools like Power BI and Tableau
- Conducting predictive modeling and statistical analysis to identify trends and inform strategic planning
- Collaborating with clients to understand their data needs and deliver tailored analytics solutions
- Managing data integrity and quality to validate reliable and accurate reporting
- Utilizing Microsoft SQL Server Data Tools for efficient data manipulation and analysis
- Creating and maintaining dashboards to track key performance indicators and business metrics
- Leading research initiatives to explore new data analytics methodologies and technologies
- Preparing comprehensive reports and presentations to communicate findings and recommendations
- Supporting the development of data-driven strategies to optimize client operations and achieve business goals
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Utilizing advanced data analysis techniques to drive insights
- Developing complex data models to support business decisions
- Leveraging Power BI and Tableau for impactful data visualization
- Conducting predictive analytics to anticipate client needs
- Excelling in complex data analysis and statistical methodologies

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK