1

Entry Level Data Analysis Jobs in Columbus, OH (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Test Engineer (Entry-Level)

Heath, OH · On-site

$71.40K - $96.60K/yr

Test Engineer (Entry-Level) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Knowledge of or experience in laboratory testing, data analysis, instrumentation, system ...

Test Engineer (Entry-Level)

Heath, OH · On-site

$71.40K - $96.60K/yr

Test Engineer (Entry-Level) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Knowledge of or experience in laboratory testing, data analysis, instrumentation, system ...

Test Engineer (Entry-Level)

Heath, OH · On-site

$71.40K - $96.60K/yr

Test Engineer (Entry-Level) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Knowledge of or experience in laboratory testing, data analysis, instrumentation, system ...

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Associate Chemist

Columbus, OH · On-site

$23.50 - $31/hr

Position Summary This is an Advanced Entry-Level Laboratory Support Role. The Associate Chemist ... Conduct routine data entry and basic calculations for non-complex analyses. * Maintain accurate ...

next page

Showing results 1-20

Entry Level Data Analysis information

See Columbus, OH salary details

$12

$31

$59

How much do entry level data analysis jobs pay per hour?

As of May 28, 2026, the average hourly pay for entry level data analysis in Columbus, OH is $31.80, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $35.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What is the difference between Entry Level Data Analysis vs Data Analyst?

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Columbus, OH? The most popular types of Data Analysis jobs in Columbus, OH are:
What are popular job titles related to Entry Level Data Analysis jobs in Columbus, OH? For Entry Level Data Analysis jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Entry Level Data Analysis jobs? Cities near Columbus, OH with the most Entry Level Data Analysis job openings:
Infographic showing various Entry Level Data Analysis job openings in Columbus, OH as of May 2026, with employment types broken down into 62% Full Time, 20% Part Time, 3% Temporary, and 15% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $66,152 per year, or $31.8 per hour.
AI & GenAI Data Scientist - EUR- Director

AI & GenAI Data Scientist - EUR- Director

Pwc

Columbus, OH • On-site

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Director

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Lead in line with our values and brand.
  • Develop new ideas, solutions, and structures; drive thought leadership.
  • Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
  • Balance long-term, short-term, detail-oriented, and big picture thinking.
  • Make strategic choices and drive change by addressing system-level enablers.
  • Promote technological advances, creating an environment where people and technology thrive together.
  • Identify gaps in the market and convert opportunities to success for the Firm.
  • Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics team you can manage the development of AI and GenAI solutions, including analytical modeling and integration. As a Director, you can set the strategic direction and lead business development efforts, making significant decisions and overseeing multiple projects while maintaining executive-level client relations. This role involves managing global data and analytics teams, facilitating executive-level presentations, and guiding the development of AI/GenAI architectures for clients.

Responsibilities

- Guide the strategic direction for AI and GenAI solution development

- Develop and refine AI/GenAI architectures for client needs

- Foster collaboration across data and analytics teams

- Align with client objectives and industry standards

- Promote technological advancements in data-driven solutions

What You Must Have

- Bachelor's Degree

- 10 years of experience

What Sets You Apart

- Master's Degree preferred

- Managing AI and GenAI solution development teams

- Experience in Energy and Utilities Industry

- Documenting and analyzing business processes for AI

- Designing AI/GenAI architectures for plugin-based solutions

- Managing global data and analytics team operations

- Leading development of proof of concepts and pilots

- Facilitating executive level presentations on GenAI solutions

- Managing GenAI application development teams

- Experience with Python, LLM frameworks, and cloud platforms

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. 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

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom