Data Operations - Associate

• Keeps track of share point and shared drive exceptions and works with stakeholders on access requests.
• Perform large-scale data cleaning (deduplication, standardization, normalization) and validate data integrity across multiple sources.

• Execute recurring data quality checks; identify anomalies, outliers, missing fields, and conflicting values.

• Support controlled data purging activities (e.g., identification of in-scope records, pre/post purge validations, reconciliation).
• Assist with documenting , evidence capture, and reporting to demonstrate completeness and accuracy of actions taken.

• Coordinate with data owners, technology partners, and governance/control teams to track approvals, timelines, and dependencies.

• Maintain clear documentation: data dictionaries, lineage notes, quality findings, and operational runbooks.

• Contribute to control routines (metrics, attestations, evidence packs) and help improve processes to reduce recurring issues.

• Produce dashboards or recurring reporting on data quality trends, purge status, and key risk indicators (KRIs) or metrics.

• Communicate findings concisely to both technical and non-technical partners; escalate risks and blockers appropriately.

• Identify opportunities to automate manual checks.

• Support data validation for changes impacting datasets, business rules, or purge processes.

• 3+ years of experience delivering data-driven problem solving or equivalent experience
• Proven ability to gather and analyze complex data and to support the development of accurate conclusions
• Experience building graphical visualizations and programming of dashboards using business intelligence tools
• Experience using at least one data technology tool and understanding relational database systems

• Intermediate Microsoft Office suite experience.

• Bachelor’s degree
• Data accuracy mindset: verifies results, reconciles totals, and spot-checks outputs.
• Structured execution: can run repeatable processes and improve them over time.
• Control orientation: understands the importance of approvals, evidence, and traceability.
• Analytical curiosity: asks “why” behind data issues and supports root-cause identification.
• Collaboration: effective partnering across product, analytics, and technology teams.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.