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Data Analyst Jobs in Ohio (NOW HIRING)

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth Key Accountabilities ...

Description Principal Data Analyst Overview Join the Consumer Lending Data & Analytics team as a Principal Data Analyst , where you will play a critical leadership role in driving analytics execution ...

Principal Data Analyst Overview Join the Consumer Lending Data & Analytics team as a Principal Data Analyst , where you will play a critical leadership role in driving analytics execution and ...

Description Principal Data Analyst Overview Join the Consumer Lending Data & Analytics team as a Principal Data Analyst , where you will play a critical leadership role in driving analytics execution ...

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Senior Data Analyst Type: Contract / C2C (temporary) Senior Data Analyst. Our client has a contract need for a Senior Data Analystto assist with their project to implement the Workday ERP system. The ...

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every ...

Location Name Columbus Corporate Headquarters Responsibilities POSITION OVERVIEW The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across ...

Location Name Columbus Corporate Headquarters Responsibilities POSITION OVERVIEW The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across ...

Don't think traditional retail, Bonobos is something you haven't seen before Location Name Columbus Corporate Headquarters Responsibilities POSITION OVERVIEW The Customer Data Analyst plays a ...

Location NameColumbus Corporate HeadquartersResponsibilities POSITION OVERVIEW The Customer Data Analyst plays a critical role in understanding and improving the health of our customer file across ...

As a Data Analyst within PNC's AMG organization, you will be based in Pittsburgh, PA, Cleveland, OH, Dallas, TX, or Birmingham, AL. Experience required includes, but not limited to: Strong experience ...

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We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

Senior Data Analyst

Blue Ash, OH

$82K - $104K/yr

Senior Data Analyst Company : New Vista Behavioral Health (corporate) Hours: Full Time, M-F Position Summary: The Senior Data Analyst plays a critical role in supporting clinical, operational ...

Senior Data Analyst

Brooklyn, OH

$80K - $101K/yr

This role is responsible for maintaining and optimizing analytic data marts, ensuring data integrity, and supporting the development of trusted data assets. The Senior Associate will work cross ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role ...

This role is ideal for a highly analytical professional who enjoys reviewing large data sets, building meaningful reporting tools, and providing actionable recommendations to support business and ...

New

Senior Data Analyst

Columbus, OH · On-site

$90K - $108K/yr

This role is ideal for a highly analytical professional who enjoys reviewing large data sets, building meaningful reporting tools, and providing actionable recommendations to support business and ...

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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.

Actuarial Data Analyst

Core Specialty

Cincinnati, OH • Hybrid

$70K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

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The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is responsible for supporting all lines of business during an exciting time of growth

Key Accountabilities/Deliverables:

  • Execute analysis on data to identify and correct data issues. Extracting data from various sources and transforming that data to perform analysis and create actionable visualizations.

  • Live our Values: Embrace a "bring-it-on" attitude to attack issues and questions within the dept and across the organization.

  • Standardize ad hoc processes and drive continuous improvement for automating and optimizing performance of ongoing processes, including development of data processing pipelines.

  • Help Others Succeed: Act as a key contributor in resolving complex or expediated requests, where end-to-end ownership and analytical skills are needed to provide a solution. As mentioned, we all work and grow together! The more successful one member is, the more successful we all are.

  • Listen to, understand, and break down questions into manageable tasks.

  • Use a variety of applications and technologies to answer simple and complex questions.

  • Provide support for other Analytics areas, such as FP&A, Actuarial, Accounting, Claims, Programs and others as needed


Technical Knowledge and Understanding:

  • Intellectual curiosity: Seeking understanding of the answers to, whys of data. Uncovering patterns in data and visuals that some might take for granted and researching. Looking for trends and outliers that may be actionable.

  • Openness to grow and change: the Company is in its infancy regarding our data environment and our analytics platform. Will need to be agile, willing to lean new techniques and tools with us as we grow.

  • Candor: Openness to providing and receiving constructive feedback to facilitate both individual development as well as elevating the overall capabilities of the Company

  • Communication skills: Willingness to ask questions to gain understanding; collaborate effectively both with direct colleagues as well as those in other functional areas; ability to influence and gain buy-in from key stakeholders.


Experience:

  • Bachelor's degree in an analytical, or related, field: Management Information Systems, Mathematics, Statistics, Computer Science, Actuarial Science and the like.

  • 1-3 years of experience in a professional environment working with data, analytics.

  • Functional knowledge, aptitude and understanding of basic data/analytics principles: One to many relationships, many to many relationships, reuse and linkage, data quality, validation data modeling and more.

  • Experience with/or working knowledge of Lakehouse, Warehouse, Semantic models, Datamarts, SQL Databases and other relational data containers.

  • Experience and/or aptitude in a Microsoft Fabric environment and the tool set included: Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents, prompt engineering.

  • Ability to convert raw data into usable and visualized representations that convey understanding and/or enables accurate execution of needed action.


The expected pay range for the role is $70,000 - $75,000. The specific offer will depend on an applicant's skills and experiences. The disclosed pay range estimate may also be adjusted for the applicable geographic differential for the location in which the position is filled.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over work authorization sponsorship now or in the future for this position.
#LI-Hybrid

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At Core Specialty, you will receive a competitive salary and opportunities for professional development and advancement. We offer medical, dental, vision, and life insurances; short and long-term disability; a Company-match of 100% of a 6% contribution 401(k) plan; an Employee Assistance Plan; Health Savings Account, Flexible Spending Account, Health Reimbursement Account, and a wellness program