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Data Associate Jobs in Columbus, OH (NOW HIRING)

If you are the type of person who is self-motivated, enjoys working independently, data entry and checking products, then you are the person we are looking for! What does RDSolutions Offer You? * A ...

Data Steward

Columbus, OH · Hybrid

$55K - $88K/yr

If you know a current Encova Insurance associate and would like to apply as a referral, please ... The Data Stewardis responsible for monitoring and resolving issues with various accounting and ...

Data Steward

Columbus, OH · Hybrid

$55K - $88K/yr

If you know a current Encova Insurance associate and would like to apply as a referral, please ... The Data Stewardis responsible for monitoring and resolving issues with various accounting and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Data Entry

Columbus, OH · On-site

$57K - $62K/yr

High school diploma or equivalent; associate degree preferred * Proven experience in data entry or administrative roles * Excellent typing skills and familiarity with data processing tools

Data Steward

Columbus, OH · On-site

$55K - $88K/yr

If you know a current Encova Insurance associate and would like to apply as a referral, please ... The Data Steward is responsible for monitoring and resolving issues with various accounting and ...

High school diploma or equivalent; associate degree preferred * Proven experience in data entry or administrative roles * Excellent typing skills and familiarity with data processing tools

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Data Associate information

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How much do data associate jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for data associate in Columbus, OH is $31.95, according to ZipRecruiter salary data. Most workers in this role earn between $23.70 and $37.84 per hour, depending on experience, location, and employer.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Columbus, OH? The most popular types of Data jobs in Columbus, OH are:
What are popular job titles related to Data Associate jobs in Columbus, OH? For Data Associate jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Columbus, OH look for? The top searched job categories for Data Associate jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Data Associate jobs? Cities near Columbus, OH with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Columbus, OH as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $66,449 per year, or $31.9 per hour.
Data Platforms- Data Domain Architect Senior Associate

Data Platforms- Data Domain Architect Senior Associate

JPMorgan Chase & Co.

Columbus, OH • On-site

$63.25 - $84.75/hr

Full-time

Medical, Retirement

Posted 15 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 468 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Description
Join a team where you will be a data champion where you will collaborate with business analysts and engineering teams to understand requirements, prioritize the product backlog, and solve problems throughout the development lifecycle.
As a Data Domain Architect Senior Associate, within the data platform team, you will work closely with the Product Manager to deliver enterprise-class, scalable, and resilient data platforms and focus on user consumption services supporting various modes such as batch and asynchronous processing.
Job Responsibilities:
  • Engage with users to understand business data usage and potential improvements. and establish and manage relationships with the analyst community.
  • Impact product strategy and priorities using technical expertise. and demonstrate intellectual curiosity in solving complex business problems.
  • Define features and capabilities for future user consumption services. and address disparate business needs with strong problem-solving and client engagement skills.
  • Translate business needs into stories for valuable outcomes. and adapt quickly to evolving client guidance while maintaining product objectives.
  • Collaborate with engineering teams to build scalable and resilient data warehouses across cloud analytic environments and leverage internal resources to deliver optimal solutions.
  • Maintain and refine product backlog through agile practices and serve as a liaison between product, engineering, and architecture teams to identify design approaches.
  • Validate delivered features against business requirements through testing and develop and maintain documentation to ensure data consistency and quality.

Required qualifications, capabilities, and skills:
  • 3+ years of experience with a strong technology background and communication skills; Educational or on-the-job experience in a technical field (e.g., Computer Science, Engineering).
  • Solid understanding of SQL, Python, and other data engineering tools and familiarity with data modeling, dimensional models, and semantic layers.
  • Flexibility and creativity in problem-solving and analytical skills.
  • Understanding of data platform technologies, including Snowflake, AWS Data Lake, and Info1.

About Us
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
About the Team
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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