1

Data Validation Jobs in Ohio (NOW HIRING)

... data validation, cleansing, and reconciliation across multiple systems and sources Dashboarding & Reporting Design and develop interactive dashboards and reports using Power BI Create user-friendly ...

next page

Showing results 1-20

Data Validation information

See Ohio salary details

$21

$49

$74

How much do data validation jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for data validation in Ohio is $49.43, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $60.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Validation position, and why are they important?

To thrive in Data Validation, a strong attention to detail, analytical thinking, and experience with data management or quality assurance processes are essential, often supported by a degree in information technology, statistics, or a related field. Familiarity with database software (such as SQL), spreadsheet tools (like Excel), and data validation or ETL (Extract, Transform, Load) systems, along with relevant certifications, is highly beneficial. Strong problem-solving skills, effective communication, and the ability to work both independently and collaboratively help individuals excel in this role. These skills ensure the accuracy and integrity of organizational data, supporting informed decision-making and operational efficiency.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications like CAP or Microsoft Certified Data Analyst. Overall, it is considered a well-paying role within the data and analytics field.

What is a data validator job?

A data validator job involves reviewing and checking data for accuracy, completeness, and consistency to ensure it meets quality standards. This role often requires attention to detail, familiarity with data management tools, and understanding of data validation techniques. Data validators help organizations maintain reliable data for decision-making and reporting.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, but entry-level positions may be available for candidates with little or no experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant certifications or completing online courses can improve your chances of starting in this field. Practical experience through internships or projects can also be beneficial for entry-level applicants.

What is a Data Validation job?

A Data Validation job involves reviewing, cleaning, and verifying data to ensure accuracy, consistency, and reliability. Professionals in this role check for errors, inconsistencies, and missing information using automated tools and manual techniques. They work with databases, spreadsheets, and software applications to maintain data integrity, often collaborating with analysts and engineers. Their work is critical for making informed business decisions and maintaining regulatory compliance.

What are the typical daily responsibilities of someone working in Data Validation?

A Data Validation professional typically spends their day reviewing large datasets, identifying inconsistencies or errors, and ensuring that all data meets established quality standards. This may involve developing and running automated scripts, maintaining data validation rules, and collaborating with data engineers or analysts to resolve data-related issues. The role often requires documenting validation processes and findings to support transparency and future audits. You can expect to work both independently and as part of a larger data or QA team, making your contributions vital to maintaining reliable business information.

What is the work of data validation?

Data validation is a key responsibility of data validation specialists, involving checking data for accuracy, completeness, and consistency to ensure it meets specified standards. They use tools like spreadsheets or validation software and often work with databases to identify and correct errors, supporting data integrity for decision-making. Attention to detail and knowledge of data quality principles are essential in this role.
What are the most commonly searched types of Data Validation jobs in Ohio? The most popular types of Data Validation jobs in Ohio are:
What cities in Ohio are hiring for Data Validation jobs? Cities in Ohio with the most Data Validation job openings:
Quant Analytics Associate - Data Validation

Quant Analytics Associate - Data Validation

JP Morgan Chase

Columbus, OH • Hybrid

Full-time

Medical, Retirement

Posted 21 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

We offer an exciting opportunity to make a meaningful impact on customer experience by ensuring the accuracy of account corrections. As a Quant Analytics Associate I, you will be part of a dynamic team dedicated to upholding data integrity and compliance. You will collaborate with experts across multiple business lines to deliver high-quality solutions. Your work will directly contribute to the trust our customers place in us. Join us and help shape the future of Consumer and Community Banking.

As a Quant Analytics Associate I - Data Validation at JPMorgan Chase within the Remediation and Correction team, you will play a critical role in identifying, classifying, and correcting customer impacts caused by business process or operational breaks. You will work closely with Business Analysts, Correction Analysts, and Testing Analysts to ensure accurate account corrections. Your responsibilities will include validating data, reviewing code, and ensuring compliance with regulatory guidelines. This role requires strong analytical and communication skills, and adherence to personal account dealing policies is required for the position. You will be part of a collaborative environment focused on delivering high-quality results.

Job Responsibilities

  • Develop and create code by reviewing business requirements across multiple Lines of Business in CCB.
  • Validate data and data sources to ensure accuracy in account corrections.
  • Write independent queries and run checks to validate population and output files.
  • trace and communicate coding defects to relevant stakeholders effectively.
  • Document data validation plans and findings/defects.
  • Ensure correct formatting and logic of all output files.
  • Collaborate with team members to resolve complex data issues.
  • Adhere to regulatory guidelines and best practice standards.
  • Support process improvements and quality initiatives.
  • Communicate findings and recommendations clearly.
  • Manage multiple tasks and priorities in a fast-paced environment.

Required Qualifications, Capabilities, and Skills

  • 3+ years' experience in a Data Validation role, with expertise in SQL/SAS code analysis and query writing.
  • Demonstrated ability to understand and analyze complex queries under tight deadlines.
  • Experience running multiple UNIX scripts simultaneously.
  • Thorough knowledge of database partitioning systems and their functions.
  • Advanced querying skills in SAS, SQL, and Snowflake environments.
  • Strong analytical and problem-solving skills.
  • Ability to validate data and data sources effectively.
  • Excellent communication skills (written and verbal).
  • Detail-oriented with a focus on quality.
  • Team player with the ability to work independently.
  • Bachelor's Degree or equivalent experience.

Preferred Qualifications, Capabilities, and Skills

  • Experience in Auto or Wealth Management environments.
  • Familiarity with finance charges and fee structures.
  • Knowledge of regulatory requirements in banking.
  • Experience with large-scale data correction projects.
  • Ability to document and present findings to senior management.
  • Proficiency in additional programming languages or Object-Oriented programing (e.g., Python, R).
  • Strong organizational and time management skills.

The position requires the employee to be on-site, working full-time in the office five days a week in Columbus, Ohio.  All candidates must be authorized to work in the United States without sponsorship. 

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