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Data Reporting Analyst Jobs in Ohio (NOW HIRING)

Senior Business Reporting Analyst Lead

Columbus, OH · On-site +1

$89K - $115K/yr

Lead and manage business operations data, reporting, and analysis efforts for Technology. * Knowledge of, and experience with, CIO level reporting needs, and the ability to create from new. This role ...

Senior Business Reporting Analyst Lead

Columbus, OH · On-site +1

$86K - $112K/yr

Lead and manage business operations data, reporting, and analysis efforts for Technology. * Knowledge of, and experience with, CIO level reporting needs, and the ability to create from new. This role ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

ESSENTIAL DUTIES Reporting & Dashboard Development * Design, build, and maintain Power BI ... Recommend and implement process improvements within the analytics function. * Uphold data ...

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

ESSENTIAL DUTIES Reporting & Dashboard Development * Design, build, and maintain Power BI ... Recommend and implement process improvements within the analytics function. * Uphold data ...

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Showing results 1-20

Data Reporting Analyst information

See Ohio salary details

$14

$37

$57

How much do data reporting analyst jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for data reporting analyst in Ohio is $37.49, according to ZipRecruiter salary data. Most workers in this role earn between $28.32 and $46.39 per hour, depending on experience, location, and employer.

What is the difference between Data Reporting Analyst vs Data Analyst?

AspectData Reporting AnalystData Analyst
Required SkillsData visualization, reporting tools, SQLData analysis, statistical skills, SQL
Work EnvironmentBusiness intelligence teams, reporting departmentsData science teams, analytics departments
Common CertificationsMicrosoft Power BI, Tableau certificationsGoogle Data Analytics, SAS certifications

While both roles involve working with data, Data Reporting Analysts primarily focus on creating reports and dashboards to communicate insights, whereas Data Analysts perform deeper data analysis, interpret trends, and provide strategic recommendations. The roles often overlap, but the Reporting Analyst emphasizes visualization and reporting tools, making them essential for presenting data to stakeholders efficiently.

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

To thrive as a Data Reporting Analyst, you typically need strong analytical abilities, proficiency in data visualization, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools like SQL, Microsoft Excel, Tableau, or Power BI, as well as experience with database management systems, is highly valued. Attention to detail, effective communication, and problem-solving skills are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies enable Data Reporting Analysts to provide accurate, actionable reports that inform business decisions and drive organizational success.

How does a Data Reporting Analyst typically collaborate with other departments within an organization?

Data Reporting Analysts frequently work cross-functionally, partnering with teams such as finance, marketing, operations, and IT to gather requirements, understand business objectives, and ensure the accuracy of reports. They often act as a bridge between technical data systems and non-technical stakeholders, translating complex data findings into actionable insights. Regular meetings, project updates, and collaborative data validation are common, making strong communication skills essential for success in this role.

What does a Data Reporting Analyst do?

A Data Reporting Analyst is responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed decisions. They develop and maintain reports, dashboards, and visualizations to present findings to stakeholders clearly and effectively. Their work often involves using tools like Excel, SQL, and business intelligence platforms to extract insights and identify trends. In addition to technical skills, Data Reporting Analysts need strong communication abilities to explain complex data in understandable terms.
What cities in Ohio are hiring for Data Reporting Analyst jobs? Cities in Ohio with the most Data Reporting Analyst job openings:
What are popular job titles related to Data Reporting Analyst jobs in OH? For Data Reporting Analyst jobs in OH, the most frequently searched job titles are:
Infographic showing various Data Reporting Analyst job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $77,974 per year, or $37.5 per hour.

Data Reporting Analyst - Financial Institution Services

Great American Insurance Group

Cincinnati, OH • Hybrid

Other

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

58th of 300 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.

At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.

Great American Financial Institution Services specializes in providing risk management and product enhancement programs to vehicle lenders and lessors, commercial equipment lenders, auto dealers and mortgage lenders throughout the U.S. and Canada. Target clients include commercial banks, credit unions, finance companies, buy-here pay-here dealers and leasing and rental concerns.

The Financial Institution Services division is hiring for a Data Reporting Analyst. The position offers hands-on exposure to pricing, underwriting, claims, product performance, and reporting while working closely with experienced data professionals and business partners.

Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.

Essential Job Functions and Responsibilities

Supports research and data analysis for pricing, underwriting, claims, and product development initiatives.

Reviews internal and external data sources to help identify trends, risks, and opportunities, with guidance from experienced team members.

Prepares, updates, and validates schedules and reports for key metrics, including premiums, reserves, loss ratios, and policy benefits.

Documentsrating factors, data sources, and analytical steps clearly and consistently.

Assists business stakeholders by preparing analyses, summaries, and materials that support decision-making.

Creates clear reports, basic visualizations, and presentation materials for technical and non-technical audiences.

Builds knowledge of company operations, systems, insurance products, actuarial concepts, and applicable industry practices.

Performs other duties as assigned.

Job Requirements

Education: Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Analytics, Economics, Finance, or a related quantitative field.

Experience: Generally 0-2 years of relevant experience. Internship, co-op, academic project, insurance, finance, or data analysis experience is helpful.

Technical skills: Strong Excel skills required. Exposure to programming, reporting, or data visualization tools such as Power BI, Tableau, Python, R, SQL, or similar tools is preferred.

Analytical skills: Ability to work accurately with data, ask good questions, identify inconsistencies, and summarize findings clearly.

Communication and collaboration: Ability to collaborate with actuaries, data professionals, underwriters, claims teams, and other business partners. Comfortable learning in a fast-paced environment and communicating with both technical and non-technical audiences.

Scope of Job / Qualifications

Works on assignments of basic to moderate technical complexity, typically with direction, review, and coaching from more experienced team members.

Applies established analytical approaches and gradually develops a deeper understanding of actuarial methods, company systems, product performance, and business context.

Uses data to support practical recommendations, while escalating questions, assumptions, or unusual results for review.

Demonstrates attention to detail, sound judgment, intellectual curiosity, and a willingness to learn new tools, processes, and insurance concepts.

Business Unit:

Financial Institution Services

Benefits:

We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.

Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.

*Excludes seasonal employees and interns.


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