1

Data Validation Analyst Jobs in Ohio (NOW HIRING)

... SQL for data validation, analysis, and confirming system behavior. *      Ability to communicate complex technical concepts in a clear, business-friendly manner to non-technical ...

... with data validation/testing regarding PowerBI models/dashboards and major IT projects (RPM One ... Analyzing competitor pricing and market trends to increase market share and profitability.

... with data validation/testing regarding PowerBI models/dashboards and major IT projects (RPM One ... Analyzing competitor pricing and market trends to increase market share and profitability.

Showing results 21-40

Data Validation Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data validation analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data validation 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 Validation Analyst vs Data Quality Analyst?

AspectData Validation AnalystData Quality Analyst
Primary FocusVerifying data accuracy and integrity during data entry and processingAssessing and improving overall data quality across systems
Skills & CertificationsExcel, SQL, data validation tools, certifications like Microsoft Certified Data AnalystData governance, data management, certifications like CDMP or DAMA-DMBOK
Work EnvironmentData entry teams, IT departments, finance, healthcareData management teams, analytics departments, IT

While both roles focus on data accuracy, Data Validation Analysts primarily verify data during processing, whereas Data Quality Analysts evaluate and improve overall data quality across systems. They often collaborate but have distinct responsibilities within data management processes.

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

To excel as a Data Validation Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in statistics, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and data quality frameworks is typically required. Excellent problem-solving abilities, effective communication, and a collaborative mindset help analysts address data issues and work efficiently with cross-functional teams. These skills ensure data accuracy, support informed decision-making, and help maintain high standards of data integrity within organizations.

What does a data validation analyst do?

A Data Validation Analyst is responsible for ensuring the accuracy, consistency, and quality of data used within an organization. They develop and implement processes to check data for errors, inconsistencies, or gaps, and work closely with data engineers, analysts, and other stakeholders to resolve any issues. Their work is crucial in maintaining reliable databases and supporting data-driven decision-making. Data Validation Analysts often use specialized tools and techniques to automate validation and document any discrepancies for future improvement.

What are some common challenges faced by data validation analysts, and how are they typically addressed?

Data Validation Analysts often encounter challenges such as handling large volumes of complex data, identifying inconsistencies, and ensuring data accuracy across multiple sources. To address these, analysts use automated validation tools, establish clear data quality protocols, and collaborate closely with data engineers and business stakeholders. Regular training on new technologies and maintaining open communication within the team also help in overcoming these challenges and maintaining high data quality standards.
Infographic showing various Data Validation Analyst job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.

Finance Data & Insights (PXT) - Analytics Solutions Senior Associate

JP Morgan Chase

Columbus, OH • On-site

$81K - $102K/yr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Join a collaborative product and analytics team focused on building reliable data products, curated datasets, chat-to-data experience enabling business users to query governed datasets in natural language, reusable metrics, dashboards, and analytics-ready experiences that improve data quality, usability, and adoption.

As a Analytics Solutions Associate, within the Finance & Data Insights Product Experience & Technology Team, you will contribute across the data product and analytics lifecycle, from discovery, requirements definition, backlog support, and delivery coordination through data validation, dashboard enablement, documentation, and adoption and partner with Product Managers, Data Engineering, Business Intelligence, Data Governance, technology teams, and business stakeholders.

Job responsibilities:

  • Lead and support features by collecting user requirements and feedback from business partners and project leads in formal and informal settings and use agentic tools across all work processes to deliver work efficiently
  • Own Epics and Stories to deliver features fulfilling the feature goals, including writing, and refining Epics and Stories in JIRA with Scrum team, and partnering with Agile lead on sequencing.
  • Maintain and prioritize the product backlog along with other analysts and product leads and identify potential project roadblocks, bottlenecks, and dependencies by understanding how the multiple project teams interact with one another.
  • Partner with Data Engineering/BI teams to help deliver curated datasets and dashboards aligned to defined requirements.
  • Execute data validation and UAT (run test cases, reconcile results, log defects, track fixes) and communicate status to stakeholders.
  • Maintain clear documentation (data definitions, report logic notes, release notes, simple user guides) to support adoption and reduce repeat questions.
  • Follow established processes for access requests, controls, and data quality procedures; escalate risks, blockers, or unclear requirements promptly.

Required qualifications, capabilities, and skills:

  • Bachelor's degree in Business Analytics, Data Science, Information Systems, Statistics, or a closely related field; 3+ years of relevant experience in analytics, business intelligence, or a data-focused role
  • Experience in or a keen desire to learn Agentic Frameworks and AI tools(GitHub Copilot, Claude etc.)
  • Experience building dashboards and performance reporting.
  • Demonstrated proficiency with Databricks, BI Tools (ThoughtSpot, Alteryx, Tableau etc.), Jira, Visio, SharePoint, Confluence and Microsoft Office (Word, Excel, PowerPoint, Pivot Tables).
  • Must possess good understanding of SQL and should be able to write complex SQL queries for data analysis.
  • Agile Experience with tools such as Jira and understanding of Backlog Prioritization Techniques.

Preferred qualifications, capabilities, and skills:

  • Background/Experience in product development or related experience, preferred.
  • Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom