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As of Aug 13, 2026, the average hourly pay for banking data analyst entry level in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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A map of the United States highlighting the number of Banking Data Analyst Entry Level job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Banking Data Analyst Entry Level job openings in each state, with California having the most at 2 and Alaska the least at 0.

Business Banking Data Owner Senior Associate - Insurance

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 12 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

Job Description

As a Data Owner Senior Associate within Business Banking, you will be accountable for data created, provisioned, or consumed across Business Banking products and applications in support of business objectives, advanced analytics, operations, regulatory obligations, and reporting. You will partner with Product, Technology, Analytics, Operations, Risk, Control, and Data Management teams to ensure critical data is clearly defined, properly classified, well-documented, high quality, and protected throughout its lifecycle.

In this role, you will help advance Business Banking's data strategy by defining data requirements, uplifting metadata, supporting data integration into analytics platforms, and executing processes that identify, monitor, and mitigate data risks. You will also help translate business needs into clear data specifications, support remediation of data issues, and maintain documentation that improves data understanding, control, and reuse across the organization.

Job Responsibilities

  • Define and document the scope, meaning, purpose, ownership, and classification of critical Business Banking data.
  • Create plans for the development and delivery of product data to support strategic objectives, operations, analytics, AI/ML use cases, and reporting.
  • Document requirements for data accuracy, completeness, timeliness, lineage, metadata, and consumption across business and technology stakeholders.
  • Execute processes to identify, monitor, and mitigate data risks, including risks related to protection, retention and destruction, storage, use, access, and quality.
  • Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
  • Support integration of Business Banking data into approved analytics and reporting platforms while maintaining data governance and control expectations.
  • Track workstreams, issues, KPIs, and deliverables to support transparent execution of data initiatives.
  • Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Required Qualifications, Capabilities, and Skills

  • Bachelor's degree required.
  • 4+ years of experience in a data-related field, such as data management, data governance, data analytics, data engineering, product data, business analysis, or data quality.
  • Experience working with business or product data, including requirements definition, data documentation, issue analysis, or data controls.
  • Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
  • Ability to translate business needs into clear data requirements and partner with technology teams on implementation.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
  • Proven ability to manage multiple workstreams and deliver through cross-functional partnerships.
  • Familiarity with SQL, database concepts, cloud or big-data platforms, or data modeling concepts.

Preferred Qualifications, Capabilities, and Skills

  • Business Banking, lending, deposits, servicing, payments, or small business financial services experience.
  • Experience with Snowflake, AWS, Databricks, Hadoop/Spark, Alteryx, Tableau, or similar data platforms/tools.
  • Experience with data governance frameworks, metadata repositories, data catalogs, lineage, data quality rules, or issue management.
  • Familiarity with Agile delivery, JIRA, user stories, technical specifications, or product/data operating models.
  • Experience supporting regulatory reporting, risk management, operational controls, or AI/ML data readiness.

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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