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Associate Data Analyst Jobs in Ohio (NOW HIRING)

Data Owner Sr. Associate

Columbus, OH · On-site

$15.50 - $20/hr

As a Sr. Associate Data Owner on the Home Lending Originations Data Owner team, you'll help drive ... Enable analytics and decisioning: Identify data products needed for integration into analytics ...

Sr Analyst, Data Solution Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

Remote internal associates may also be considered. This role requires expertise in Databricks ... As a Data Solution Analyst, you'll translate functional data and analytic requirements into ...

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Associate Data Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do associate data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for associate data 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 are some typical projects an Associate Data Analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What does an Associate Data Analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

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

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Ohio? The most popular types of Data Analyst jobs in Ohio are:
What are popular job titles related to Associate Data Analyst jobs in Ohio? For Associate Data Analyst jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Associate Data Analyst jobs? Cities in Ohio with the most Associate Data Analyst job openings:
Infographic showing various Associate Data Analyst job openings in Ohio as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $78,566 per year, or $37.8 per hour.
Data Owner Sr. Associate

Data Owner Sr. Associate

JPMorgan Chase & Co

Columbus, OH • On-site

$15.50 - $20/hr

Full-time

Medical, Retirement

Posted 7 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 energized by building products with data-not just reporting on them? Join us to shape how we deliver trusted, well-governed data that improves the Chase customer experience. You'll sit at the intersection of Product, Data, and Technology, translating business outcomes into clear data requirements and partnering across teams to deliver data that is discoverable, reliable, secure, and analytics-ready.

As a Sr. Associate Data Owner on the Home Lending Originations Data Owner team, you'll help drive our data strategy the way a strong product leader would: clarifying customer needs (data consumers), defining scope and success measures, prioritizing work across dependencies, and ensuring what we ship meets quality and control standards. You'll collaborate closely with Product, Engineering, Analytics, and Risk to enable scalable data delivery while proactively managing data risk and compliance.

Job Responsibilities

  • Own product data outcomes: Support the design, development and delivery of data products aligned to strategic business objectives and analytics use cases.
  • Translate needs into requirements: Partner with stakeholders to understand data usage, define critical data elements, and document meaning, purpose, lineage, and metadata classification.
  • Enable analytics and decisioning: Identify data products needed for integration into analytics platforms and help ensure it is fit-for-purpose for reporting, insights, and advanced analytics.
  • Drive data quality as a product feature: Define and coordinate requirements for accuracy, completeness, timeliness, and consistency; establish clear acceptance criteria and controls.
  • Manage delivery across teams: Coordinate with technology and data delivery partners to resolve data issues, unblock dependencies, and keep workstreams on track.
  • Mitigate risk and ensure governance: Contribute to processes that identify, monitor, and reduce data risk while supporting compliance with firmwide standards for integrity and protection.
  • Influence through partnership: Build strong relationships with product, engineering, analytics, and risk partners; communicate tradeoffs and align on priorities.
  • Measure and report progress: Track workstreams, milestones, and KPIs to support predictable delivery and continuous improvement.

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree and 3+ years in data-focused roles with demonstrated partnership across product and technology teams
  • Experience delivering across multiple workstreams with competing timelines and dependencies
  • Strong understanding of product/business data and processes; ability to frame data work in terms of customer outcomes and value
  • Working knowledge of data management, governance, big data platforms, and/or data architecture, including SQL
  • Ability to prioritize, manage ambiguity, and drive work forward in a matrixed organization
  • Strong communication skills-able to explain technical concepts to non-technical audiences and align stakeholders on decisions
  • Structured, analytical thinker with strong business judgment
  • Familiarity with Agile delivery and iterative development
  • Commitment to data quality, protection, and compliance as non-negotiable deliverables

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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