JPMorganChase is looking to solve complex business challenges and drive impactful results by advancing business analysis and reporting, creating dashboards, and deploying advanced quantitative and statistical methodologies at scale to support strategy and execution for Client Onboarding & Service within Commercial & Investment Banking.
Requirements
- Hands-on expertise in multiple Business Intelligence toolsets and database platforms.
- Tableau and SQL/coding experience.
- Knowledge and experience with analytical, modeling, and statistical methodologies.
- Strong quantitative and problem-solving skills with the ability to multi-task in a fast-paced environment.
- Excellent problem-solving and critical thinking skills with the ability to interpret and present complex data.
- Knowledge of Alteryx, Python/R, and Qlik Sense.
Responsibilities
- Advance business analysis and reporting focused on insights delivery for staffing models, volume forecasts, cost modeling, and expense allocations.
- Partner with Business & Analytics teams to create dashboards and reporting for capacity modeling and client costing.
- Identify opportunities to deploy advanced quantitative and statistical methodologies at scale.
- Develop a deep understanding of systems and processes to extract insights and recommend data quality enhancements.
- Create executive-level presentations using PowerPoint PitchPro+.
- Analyze and interpret complex data to support business decision-making.
- Recommend enhancements to improve data quality and analytics processes.
Other
- Partner with senior managers to deliver advanced analytics globally, supporting strategy and execution for Client Onboarding & Service.
- Build trusted relationships with stakeholders, cross-functional partners, and leadership.
- Collaborate with management teams to align analytics initiatives with business objectives.
- Communicate findings and recommendations clearly to senior management.
- Bachelor’s degree in a quantitative or related field (Data Analytics, Computer Science, Finance, etc.).
- Minimum 4 years of experience using data technology to solve complex business problems.
- Excellent interpersonal and communication skills.
- Highly motivated, proactive attitude, with a passion to learn and an inquisitive personality.
