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Data Analyst Jobs in Ohio (NOW HIRING)

Data Analyst

Mason, OH · On-site +1

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data ...

MSD is looking for a Data Analyst to join our team! THIS IS AN IN-PERSON ROLE The Data Analyst serves as a strategic partner to the business by transforming complex data into meaningful insights that ...

New

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

R0241818 Data Analyst The Opportunity: The Data Analyst applies their technical and analytical capab ilities to support key business and security objectives. This role involves working with ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

The Data Analyst applies their technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to clarify requirements, developing ...

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Data Analyst The Opportunity: The Data Analyst applies their technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to ...

Data Analyst

Dayton, OH · On-site

$61K - $141K/yr

Data Analyst The Opportunity: The Data Analyst applies their technical and analytical capabilities to support key business and security objectives. This role involves working with stakeholders to ...

This role will focus on analyzing identity data, delivering actionable insights, and building scalable automation and reporting solutions using low-code/no-code platforms. The ideal candidate is ...

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

To continue our growth path, we need a Remote Data Analyst to leverage analytics technology to create, update, and analyze reports for various business units and processes. As a part of the Product ...

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you ...

Analyze data using data science and/or statistical methods * Collaborate with subject matter experts, internal/external stakeholders, software programmers, and customers to develop tools that meet ...

Analyze data using data science and/or statistical methods * Collaborate with subject matter experts, internal/external stakeholders, software programmers, and customers to develop tools that meet ...

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed ...

Data Analyst

Akron, OH

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

Data Analyst

Akron, OH · On-site

$79K - $139K/yr

This position will analyze complex business needs related to C&DS project data and answer critical questions with a focus on C&DS key priorities and business initiatives. This position will generate ...

Data Analyst

Columbus, OH · On-site

$59.53 - $67.53/hr

Genesis10 is currently seeking a Data Analyst for a contract position with a Global Financial Institution located in Columbus, OH. This is a 5+ month contract opportunity. Compensation: $59.53 - $67 ...

New

Analyze data for the purpose of identifying data anomalies, drawing conclusions and determining scope of impact Recommend options to resolve issues Find meaningful insights and communicate insights ...

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Showing results 1-20

Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Ohio? The most popular types of Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Data Analyst jobs? Cities in Ohio with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Ohio as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 83% Full Time, 10% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.
Data Analyst

Data Analyst

Procter & Gamble

Mason, OH • On-site, Remote

Contractor

Posted 23 days ago


Procter & Gamble rating

8.3

Company rating: 8.3 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

65th of 528 rated manufacturers


Job description

A Data Analyst collects, cleans, and analyzes data to identify trends and patterns that inform business decision-making. They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns.
Job duties include collecting and cleaning data from various sources, performing data analysis using statistical methods and software, creating reports and presentations to communicate findings, and developing data-driven solutions to business problems.
Skills and Qualifications
  • Strong analytical and problem-solving skills
  • Proficiency in data analysis tools such as Python, R, SQL, and Excel
  • Knowledge of statistical methods and data modeling
  • Expertise in data cleaning and preprocessing techniques
  • Data visualization proficiency using tools like Tableau or Power BI
  • Strong problem-solving skills for data-related challenges
  • Excellent communication skills to convey complex data insights to non-technical stakeholders

Optional skills that may be helpful for a Data Analyst include programming skills in languages such as Python or R, knowledge of machine learning and artificial intelligence techniques, experience with cloud computing platforms, and domain knowledge in specific industries.
A Data Analyst should have the ability to work independently and as part of a team, exhibit attention to detail, and possess a strong curiosity and passion for data analysis. They play a critical role in uncovering insights that drive effective decision-making and business success.
Job Description: A Database Administrator (DBA) is responsible for the installation, configuration, maintenance, and security of database systems. They ensure databases are available, reliable, and performant. DBAs also work to protect databases from unauthorized access and data breaches.
Skills Needed: - Strong understanding of database concepts and technologies, such as relational databases, SQL, and database management systems - Experience with database administration tools and utilities - Ability to work with large datasets and complex queries - Excellent problem-solving and troubleshooting skills - Ability to work independently and as part of a team - Optional skills: Programming skills (Python, R), knowledge of cloud computing platforms, domain knowledge in relevant industries
P&G's freelancer opportunities are for project-based or other short-term engagements that require specialized skills. Successful candidates for freelancer opportunities will not be considered employees of The Procter & Gamble Company or any of its subsidiaries nor will candidates be eligible for employment benefits. Candidates looking for regular full-time employment opportunities should begin their search here: pgcareers.com.
  • Published on 24 Jun 2026, 12:39 AM

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About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837