Job description

Join a team where you can improve the accuracy, reliability, and efficiency of critical financial reporting. You will partner across Finance and Technology to strengthen data controls, automate manual processes, and deliver scalable reporting enhancements. This role offers the opportunity to modernize data processes while supporting regulatory compliance and audit readiness. As a Data Domain Architect, Associate in Financial Analysis Reporting Systems, you will lead the timely and accurate delivery of weekly and monthly financial results that support internal stakeholders and external reporting needs. You will own ongoing operational processes while strengthening end-to-end data controls to ensure accuracy, regulatory compliance, and audit readiness. You will proactively eliminate manual workflows and partner with Technology to design, test, and implement scalable enhancements that improve data quality and accelerate reporting reliability. Job Responsibilities • Deliver weekly and monthly internal and external financial results with accuracy and timeliness, coordinating across Finance and Technology to ensure completeness and alignment across data sources • Operate day-to-day reporting processes and data pipelines, resolving data issues and production breaks while maintaining runbooks and standard operating procedures • Strengthen preventive and detective data controls, including reconciliations, variance checks, lineage verification, and data quality rules, while maintaining complete documentation for audit and regulatory reviews • Automate manual workflows by designing streamlined, scalable solutions using Alteryx, Python, and SAS and validating results after implementation • Partner with Technology to prioritize and deliver data model and system enhancements, including requirements definition, user acceptance testing, and change management • Analyze and synthesize large datasets to address ad hoc stakeholder requests, translating complex findings into clear, decision-ready reporting for non-technical audiences • Advance data modernization by contributing to metadata, data dictionaries, and lineage documentation and exploring responsible artificial intelligence and advanced analytics use cases that improve efficiency and insight generation Required Qualifications, Capabilities, and Skills • Bachelor’s degree in Accounting, Finance, or a related field • Strong SQL and relational database skills with experience extracting, transforming, and summarizing large datasets for reporting and analysis • Hands-on experience with analytics and data-wrangling tools such as Alteryx, SAS, or Python to build repeatable and auditable workflows • Experience developing and testing reporting solutions, interpreting imperfect data, and documenting limitations and assumptions clearly • Experience applying data management practices, including data lineage, metadata, data dictionaries, and approaches that improve data discoverability • Experience designing and maintaining controls aligned with common frameworks, anticipating audit requirements, and implementing new checkpoints when processes or architecture change • Experience driving process improvement and automation initiatives from definition through implementation, including establishing key performance indicators, measuring impact, and integrating best practices • Strong written and verbal communication skills with experience partnering across Finance, Operations, Risk, and Technology Preferred Qualifications, Capabilities, and Skills • Experience using Databricks or a comparable modern data platform to improve pipeline scalability and performance • Experience applying responsible artificial intelligence or advanced analytics to improve reporting efficiency and insight generation • Experience supporting financial close cycles or external reporting deliverables in a controlled environment • Experience maintaining control, audit-readiness, and regulatory documentation standards within data-intensive processes To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT). Lead data reporting change by owning headcount results, tightening controls, and partnering with technology to remove manual workflows.

Requirements

Must-haves

Deliver weekly and monthly internal and external financial results with accuracy and timeliness, coordinating across Finance and Technology to ensure completeness and alignment across data sources
Operate day-to-day reporting processes and data pipelines, resolving data issues and production breaks while maintaining runbooks and standard operating procedures
Strengthen preventive and detective data controls, including reconciliations, variance checks, lineage verification, and data quality rules, while maintaining complete documentation for audit and regulatory reviews
Automate manual workflows by designing streamlined, scalable solutions using Alteryx, Python, and SAS and validating results after implementation
Partner with Technology to prioritize and deliver data model and system enhancements, including requirements definition, user acceptance testing, and change management
Analyze and synthesize large datasets to address ad hoc stakeholder requests, translating complex findings into clear, decision-ready reporting for non-technical audiences
Required Qualifications, Capabilities, and Skills
Bachelor’s degree in Accounting, Finance, or a related field
Strong SQL and relational database skills with experience extracting, transforming, and summarizing large datasets for reporting and analysis
Hands-on experience with analytics and data-wrangling tools such as Alteryx, SAS, or Python to build repeatable and auditable workflows
Experience developing and testing reporting solutions, interpreting imperfect data, and documenting limitations and assumptions clearly
Experience applying data management practices, including data lineage, metadata, data dictionaries, and approaches that improve data discoverability
Experience designing and maintaining controls aligned with common frameworks, anticipating audit requirements, and implementing new checkpoints when processes or architecture change
Experience driving process improvement and automation initiatives from definition through implementation, including establishing key performance indicators, measuring impact, and integrating best practices
Strong written and verbal communication skills with experience partnering across Finance, Operations, Risk, and Technology
Experience using Databricks or a comparable modern data platform to improve pipeline scalability and performance
Experience applying responsible artificial intelligence or advanced analytics to improve reporting efficiency and insight generation
Experience supporting financial close cycles or external reporting deliverables in a controlled environment
Experience maintaining control, audit-readiness, and regulatory documentation standards within data-intensive processes
Lead data reporting change by owning headcount results, tightening controls, and partnering with technology to remove manual workflows.

Nice-to-haves

Preferred Qualifications, Capabilities, and Skills

Application prep

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Keywords to mirror

pythonsql

Platform: oracle-cloud
Effort: medium