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Part Time Data Analyst Jobs in Hamilton, OH (NOW HIRING)

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Part Time Data Analyst information

See Hamilton, OH salary details

$31.7K

$77K

$126.7K

How much do part time data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for part time data analyst in Hamilton, OH is $76,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Hamilton, OH?

The most popular types of Data Analyst jobs in Hamilton, OH are:

What cities near Hamilton, OH are hiring for Part Time Data Analyst jobs?

Cities near Hamilton, OH with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Hamilton, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $76,976 per year, or $37 per hour.

Data Reporting Analyst - Financial Institution Services

Great American Insurance Group

Cincinnati, OH • Hybrid

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 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 314 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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