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Analyst Jobs in Ohio (NOW HIRING)

DuBois is seeking an experienced high-performing Pricing Analyst to support profitable growth by developing, analyzing, and maintaining pricing strategies, models, and insights that guide commercial ...

Hello, We are looking for Business Analyst for one of our clients. If you're interested, please reply with your most recent work format resume with contact information. Job Title: Business Analyst ...

Senior Analyst*

Dayton, OH · On-site

$82K - $108K/yr

SierTeK Ltd. is seeking a Senior Analyst (Epidemiologist/Statistician/Mathematician) to support an opportunity at Wright Patterson AFB, OH PLEASE APPLY DIRECTLY ON OUR WEBSITE AT SIERTEK.COM/CAREERS ...

The Financial Analyst will support global financial planning and analysis activities, including preparing the Annual Operating Plan (AOP), quarterly reforecasts, and monthly flash reporting. This ...

Operations Analyst Department:Academic Affairs Administration | Salmon P. Chase Center for Civics, Culture, and Society Salmon P. Chase Center for Civics, Culture, and Society The Ohio State ...

The Summer Analyst Program The Summer Analyst Program at Cornerstone Research is an eight-week experience that takes place during the summer between your junior and senior year of university. We have ...

Senior Analyst

Richfield, OH

$82K - $108K/yr

Senior Analyst The Senior Analyst will support the REIT's investment, asset management, financial planning, capital markets, and investor relations functions through sophisticated financial analysis ...

Pricing Analyst

Sharonville, OH · On-site

$70 - $95/hr

Pricing Analyst** to support profitable growth by developing, analyzing, and maintaining pricing strategies, models, and insights that guide commercial decision-making. Partners closely with sales ...

SierTeK Ltd. is seeking a Visual Analyst to support an opportunity remotely. PLEASE APPLY DIRECTLY ON OUR WEBSITE AT SIERTEK.COM/CAREERS Position Overview Section We are seeking a talented Visual ...

The Investment Analyst plays a key role in supporting the company's real estate investment, development, and asset management activities through robust financial modeling, forecasting, market ...

Senior Analyst

Richfield, OH · On-site

$82K - $108K/yr

Senior Analyst The Senior Analyst will support the REIT's investment, asset management, financial planning, capital markets, and investor relations functions through sophisticated financial analysis ...

Senior Analyst*

Dayton, OH · On-site

$82K - $108K/yr

SierTeK Ltd. is seeking a Senior Analyst (Epidemiologist/Statistician/Mathematician) to support an opportunity at Wright Patterson AFB, OHPLEASE APPLY DIRECTLY ON OUR WEBSITE AT SIERTEK.COM/CAREERS ...

Showing results 21-40

Analyst information

See Ohio salary details

$31.4K

$72.5K

$117.9K

How much do analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for analyst in Ohio is $72,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $85,600.00 per year, depending on experience, location, and employer.

What does an analyst do?

An Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. Their responsibilities often include researching trends, preparing reports, and providing insights that guide business strategies. Analysts work in various fields such as finance, marketing, operations, or data analysis, and use specialized tools and software to analyze information. They play a key role in identifying opportunities for improvement and supporting the decision-making process within a company.

What are the key skills and qualifications needed to thrive as an analyst, and why are they important?

To thrive as an Analyst, you need strong analytical thinking, quantitative skills, and a relevant degree such as in finance, business, or data science. Familiarity with data analysis tools (like Excel, SQL, or Python), business intelligence platforms, and sometimes certifications such as CFA or CAP are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for presenting insights and collaborating with stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive informed business decisions.

How do analysts typically collaborate with other departments within an organization?

Analysts often work cross-functionally, collaborating closely with teams such as finance, marketing, operations, and IT to collect data, understand business needs, and provide actionable insights. This collaboration usually involves regular meetings, data sharing, and joint project work to ensure that analyses align with organizational goals. Effective communication and teamwork are key, as Analysts must translate complex data findings into clear recommendations for non-technical stakeholders. Building strong relationships with other departments helps Analysts stay informed about business priorities and deliver more impactful results.

What is the difference between Analyst vs Data Scientist?

AspectAnalystData Scientist
Required CredentialsBachelor's degree in related field; often certifications in data analysis or business intelligenceBachelor's or master's degree in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness settings, using tools like Excel, SQL, and BI softwareTechnical environments, using programming languages like Python or R, and machine learning tools
Employer & Industry UsageFinance, marketing, healthcare, and retail sectorsTech companies, research institutions, and industries requiring advanced data modeling
Common Search & Comparison IntentUnderstanding role differences, required skills, and career pathsExploring advanced data analysis, modeling, and predictive analytics

While both roles analyze data to support business decisions, analysts focus on interpreting data using standard tools, whereas data scientists develop complex models and algorithms to predict future trends. The choice depends on your technical skills and career goals.

What analyst makes the most money?

Senior-level analysts in specialized fields such as financial, data, or management analysis tend to earn the highest salaries, often exceeding $100,000 annually. Factors like industry, experience, certifications, and location influence compensation levels significantly.

What degree does an analyst need?

An analyst typically needs at least a bachelor's degree in fields such as business, finance, economics, statistics, or related areas. Some roles may require or prefer a master's degree or professional certifications like CFA or CPA, especially for advanced or specialized positions.

What is an entry level analyst?

An entry-level analyst is a professional starting their career in data analysis, business analysis, or similar fields. They typically have limited work experience, often require a bachelor's degree, and use tools like Excel or basic data software to support decision-making and reporting tasks.

What are the most commonly searched types of Analyst jobs in Ohio?

The most popular types of Analyst jobs in Ohio are:

What cities in Ohio are hiring for Analyst jobs?

Cities in Ohio with the most Analyst job openings:

What are popular job titles related to Analyst jobs in OH?

For Analyst jobs in OH, the most frequently searched job titles are:

Infographic showing various Analyst job openings in Ohio as of August 2026, with employment types broken down into 42% Full Time, and 58% Contract. Highlights an 100% In-person job distribution, with an average salary of $72,513 per year, or $34.9 per hour.

Quantitative Analyst

Wright-Patt Credit Union Inc.

Beavercreek, OH • On-site

$90 - $130/hr

Other

Re-posted 16 days ago


Wright-Patt Credit Union rating

5.8

Company rating: 5.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

The Quantitative Analyst is responsible for leading high-impact statistical analysis, measurement design, and scalable analytics solutions that improve business performance and decision-making. This role partners closely with Strategy, Product, and Technology teams to evaluate key initiatives, identify performance drivers, develop statistically sound measurement approaches, and deliver executive-ready insights that influence priorities and investments. The Quantitative Analyst combines strong analytical depth with automation and repeatability, ensuring insights are accurate, timely, and operationally useful.

1) High-Impact Quantitative Analysis & Decision Science (30%)
  • Perform exploratory data analysis, segmentation, and trend analysis to uncover patterns and anomalies.
  • Apply statistical techniques such as hypothesis testing, confidence intervals, correlation, and regression analysis.
  • Identify opportunities for growth, efficiency, and experience improvement using data-backed recommendations.
  • Deliver decision-ready outputs that connect analysis to actions, tradeoffs, and expected outcomes.
2) Experimentation, Testing, and Impact Evaluation (25%)
  • Support A/B testing and experiment analysis including test design inputs, lift measurement, and interpretation.
  • Partner with product and business teams to define success metrics, baselines, and measurement plans.
  • Evaluate initiative effectiveness using controlled comparisons, pre/post analysis, and statistical significance testing.
  • Develop standardized experiment readouts and decision frameworks to improve speed and consistency.
3) Predictive Analytics & Optimization (20%)
  • Partner with data scientists to support model development by preparing datasets, validating features, and interpreting outputs.
  • Build and maintain scoring frameworks (propensity, prioritization, classification support) aligned to business use cases.
  • Support model evaluation using practical performance measures (lift, precision/recall, error rates).
  • Translate model outputs into actionable recommendations and operational workflows.
4) Automation & Scalable Analytics Delivery (15%)
  • Develop automated analysis workflows using SQL and Python to reduce manual effort.
  • Build reusable scripts, templates, and standardized datasets to improve reliability and consistency.
  • Partner with data engineering teams to improve data availability and support repeatable pipelines.
  • Implement monitoring and alerting for key performance indicators and threshold-based changes.
5) Communication, Visualization, and Executive Enablement (10%)
  • Build clear, executive-ready summaries and visualizations tied to business outcomes.
  • Present findings and recommendations to senior leaders and cross-functional teams.
  • Communicate confidence levels, limitations, and tradeoffs in a practical way.
  • Ensures proper policies, procedures, risk mitigation activities, and operating controls are followed. Reports gaps in policies, procedures, and operating controls to leadership to ensure member impact and risk is mitigated.
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