Data Operations [Multiple Positions Available]

JPMorganChase • Newark, NJ

6d • Onsite

About The Position

Drive strategic initiatives by identifying, analyzing, and leading data-driven projects while developing and presenting compelling business cases with detailed metrics and insights. Perform in-depth data analysis by conducting root cause assessments, data mapping, and impact evaluations to support process improvements and automation opportunities. Enhance data management by utilizing Business Intelligence tools and advanced analytics methodologies including AI, machine learning and natural language processing to automate, transform, and optimize reporting and visualization. Support cross-functional collaboration by working closely with operations, technology, middle office, finance, compliance, and controls to ensure effective coordination and timely delivery of strategic projects. Transform processes by collaborating with data transformation teams and stakeholders to convert manual tasks into automated solutions, reducing exceptions and boosting operational efficiency. Oversee project management by applying Agile methodologies and standard project management tools to plan, execute, and monitor projects while maintaining consistent quality in deliverables. Foster continuous improvement by leveraging a diverse backlog of work to enhance development skills, drive engagement, and support data-driven decision-making within the organization.

Requirements

• Master's degree in Business Analytics and Project Management, Electronics Engineering, Data and Business Analytics, Economics, Finance, Accounting, Business Administration, or related field of study plus three (3) years of experience in the job offered or as Data Operations, Software Developer, Software Engineer, or related occupation.
• Alternatively, a Bachelor's degree in Business Analytics and Project Management, Electronics Engineering, Data and Business Analytics, Economics, Finance, Accounting, Business Administration, or related field of study plus five (5) years of experience in the job offered or as Data Operations, Software Developer, Software Engineer, or related occupation.
• Two (2) years of experience with designing and developing ETL workflows for data cleansing, transformation, and centralization from multiple sources using tools including SQL, Python, Alteryx or similar tools.
• Two (2) years of experience creating and integrating REST APIs.
• Two (2) years of experience building visualizations for data analysis and KPI reporting using tools including Microsoft Excel, Tableau, Python or similar technology.
• Two (2) years of experience extracting actionable insights from unstructured text.
• Two (2) years of experience summarizing and presenting key metrics and technical processes through charts using Microsoft Excel and clear documentation.
• Two (2) years of experience using Microsoft PowerPoint.
• Two (2) years of experience managing data analytics projects with agile methodologies and Jira.

Responsibilities

• Identify, analyze, and lead data-driven projects.
• Develop and present compelling business cases with detailed metrics and insights.
• Conduct root cause assessments, data mapping, and impact evaluations.
• Utilize Business Intelligence tools and advanced analytics methodologies (AI, machine learning, natural language processing) to automate, transform, and optimize reporting and visualization.
• Collaborate with operations, technology, middle office, finance, compliance, and controls.
• Convert manual tasks into automated solutions.
• Apply Agile methodologies and standard project management tools to plan, execute, and monitor projects.
• Enhance development skills, drive engagement, and support data-driven decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level