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Data Quality Associate Jobs in Ohio (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... You are expected to anticipate the needs of your teams and clients, delivering quality solutions.

This role is ideal for a candidate who is currently pursuing an Associate's, Bachelor's, or Master ... data quality practices. This is a hands-on learning opportunity for someone who wants to build ...

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Data Quality Associate information

See Ohio salary details

$10

$25

$48

How much do data quality associate jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for data quality associate in Ohio is $25.60, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $29.95 per hour, depending on experience, location, and employer.

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

To thrive as a Data Quality Associate, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor's degree. Familiarity with data quality tools (such as Informatica Data Quality or Talend), SQL, and data governance frameworks is typically required. Excellent problem-solving, communication, and organizational skills help you collaborate effectively and resolve data discrepancies. These abilities ensure the accuracy, reliability, and integrity of organizational data, which is essential for informed decision-making and operational efficiency.

How does a Data Quality Associate typically collaborate with other teams to ensure data integrity?

As a Data Quality Associate, you will frequently work across departments such as data engineering, business analytics, and IT to address data discrepancies and implement quality standards. Collaboration often involves participating in regular meetings to discuss data issues, clarifying data definitions, and coordinating on data validation projects. This cross-functional teamwork is essential, as it ensures that data quality initiatives are aligned with organizational goals and that any issues are communicated and resolved efficiently.

Is data quality a good career?

A career as a Data Quality Associate involves ensuring the accuracy, completeness, and consistency of data within organizations. It often requires skills in data analysis, attention to detail, and familiarity with data management tools, making it a valuable role in data-driven industries with steady demand. The field offers opportunities for growth, certifications, and specialization in data governance or quality assurance.

What does a data qa associate do?

A Data Quality Associate is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They review, validate, and clean data using tools like Excel or data management software, often following established data quality standards and procedures. This role supports data integrity for reporting, analysis, and decision-making processes.

What does a data associate do?

A Data Quality Associate is responsible for reviewing, cleaning, and maintaining data to ensure accuracy, completeness, and consistency. They often use data management tools and follow established procedures to identify and correct errors, supporting data integrity for analysis and decision-making.

What is the difference between Data Quality Associate vs Data Analyst?

AspectData Quality AssociateData Analyst
Primary FocusEnsuring data accuracy, completeness, and consistencyAnalyzing data to identify trends and support decision-making
Skills & CertificationsData management, quality control, basic SQL, ExcelData analysis, statistical skills, SQL, visualization tools
Work EnvironmentData management teams, quality assurance departmentsBusiness units, analytics teams, IT departments
Industry UsageCommon in healthcare, finance, and tech sectorsWidespread across industries for data-driven roles

The Data Quality Associate primarily focuses on maintaining the integrity and accuracy of data, ensuring it meets quality standards. In contrast, a Data Analyst interprets data to generate insights and support strategic decisions. While both roles require data skills, their core responsibilities differ, with the Data Quality Associate emphasizing data integrity and the Data Analyst emphasizing data interpretation.

What is a data quality associate?

A data quality associate is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They often use data management tools and perform data validation, cleaning, and auditing to maintain high data standards, supporting effective decision-making.

What does a Data Quality Associate do?

A Data Quality Associate is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They monitor data flows, identify errors or inconsistencies, and work with other teams to resolve any issues. Their work helps maintain high data standards, which is essential for reliable reporting and decision-making. Data Quality Associates may also help develop data validation processes and contribute to improving data management practices.
What are the most commonly searched types of Data Quality jobs in Ohio? The most popular types of Data Quality jobs in Ohio are:
What are popular job titles related to Data Quality Associate jobs in Ohio? For Data Quality Associate jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Quality Associate jobs in Ohio look for? The top searched job categories for Data Quality Associate jobs in Ohio are:
What cities in Ohio are hiring for Data Quality Associate jobs? Cities in Ohio with the most Data Quality Associate job openings:
Infographic showing various Data Quality Associate job openings in Ohio as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 27% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $53,256 per year, or $25.6 per hour.
Data Domain Architect senior Associate

Data Domain Architect senior Associate

JPMorgan Chase & Co

Columbus, OH

$60 - $77.25/hr

Full-time

Medical, Retirement

Posted 22 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Are you a skilled data professional with a passion to transform raw data into actionable insights, and a demonstrated history of learning and implementing new technologies?  The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking (CCB).  Our vision is to improve the lives of our people and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. 

As a Data Domain Architect - Sr. Associate in the CCB Finance Data & Insights Team, you will play a key role in delivering monthly internal, external, and regulatory financial results for the Wealth Management line of business. Responsibilities include providing operational business-as-usual (BAU) support, maintaining and enhancing data controls to ensure accuracy and compliance, and identifying opportunities to eliminate manual processes. You will have the opportunity to utilize automation tools such as Alteryx and collaborate with Information Technology partners for system enhancements. The role involves extracting, analyzing, and summarizing data for ad hoc stakeholder requests, as well as contributing to the modernization of our data environment by leveraging new tools and technologies related to artificial intelligence (AI).

Job Responsibilities 

  • Contribute to the transformation and modernization of our data environment to serve the analytical and reporting needs of the CCB WM Finance Organization
  • Execute and take ownership of operational processes with an emphasis on accuracy and timeliness of meeting deliverables on prescribed timetables / calendars
  • Identify hidden problems and patterns in data proactively and use those insights to drive process improvements
  • Conduct detailed reconciliation of results between data systems and business intelligence tools
  • Work with IT to migrate to production the developed solutions and as an SME/escalation point for the deployed solutions
  • Provide a high level of responsiveness to ad-hoc requests, "what-if" scenario data analytics, and regulatory inquiries
  • Participate in requirements gathering sessions with varying levels of leadership, complete detailed project planning utilizing JIRA to record planned project execution steps
  • Partner with the Technology Team to design and deliver data domains into the Finance Data Mart that brings together essential data categories to enable the Finance function to support their analytical and reporting needs
  • Source and maintain the Financial and Operational data required to transform and maintain the Wealth Management reporting
  • Become a subject matter expert in our financial reporting platforms  and support team members in becoming more proficient themselves

Required qualifications, capabilities, and skills 

  • Bachelor's degree in MIS, Computer Science, Finance, Accounting, or other related area with relevant work experience
  • 3+ years of experience in data analytics, architecture, or financial reporting systems
  • Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses
  • Experience with business intelligence analytics and data wrangling tools such as Alteryx, SAS, or Python
  • Domain Knowledge: Deep understanding of the specific industry or business domain in which the organization operates
  • Data Quality Management: Understanding of strategies and tools for data profiling, cleansing, and validation to maintain high data quality
  • Demonstrated experience delivering process improvement or automation
  • Highly motivated, self-directed, curious to learn new technologies, strong team player
  • Strong analytical and problem-solving ability; Excellent written and verbal communication skills
  • Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
  • Strong knowledge and experience with data management, data lineage, data dictionaries, and making data discoverable

Preferred qualifications capabilities, and skills 

  • Experience with  SQL or other big-data query tools
  • Experience with ThoughtSpot
  • AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience
  • Hyperion Essbase cube experience
  • Experience eliminating user tools, saving time, and increasing ability to generate insights through data, dashboards, and developing new capabilities
  • Proficient user of the Microsoft Office Suite (primarily Excel)

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.

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