Lead Data Solutions & Analytics for Securities Finance

J.P. Morgan; New York (NY); On-site; USD 130,000 - 180,000; Full time

Benefits offered by this job

Health care coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

J.P. Morgan is seeking a Data Solutions & Analytics Lead in New York to build scalable data apps, centralize critical datasets, and deliver analytics for faster, better decisions.

You will partner with stakeholders and work hands-on with large datasets to drive automation and production-ready solutions. The role blends data analytics, product delivery, and project execution; you will centralize datasets in a data lake and explore AI/ML use cases to improve efficiency and decision-making, while

Qualifications

• Bachelor's degree required.
• 4+ years in data analytics, product development, or project management.
• Hands-on with modern analytics tools such as SQL, Python, Tableau, Power BI, or R.
• Experience in large datasets and data modeling.

Responsibilities

• Design and develop data models to enable analytics at scale.
• Analyze data using SQL, Python, Tableau, Alteryx to uncover insights.
• Automate recurring reporting and streamline delivery across teams.
• Lead end-to-end project delivery with clear requirements and stakeholder updates.
• Translate business needs into actionable delivery plans and data products.
• Collaborate with product, operations, technology, and finance to align solutions.

Education

Bachelor's degree

Tools

Tableau

Power BI

Alteryx

SQL

Python

Job description

J.P. Morgan is seeking a Data Solutions & Analytics Lead in New York to build scalable data apps, centralize critical datasets, and deliver analytics for faster, better decisions.

You will partner with stakeholders and work hands-on with large datasets to drive automation and production-ready solutions. The role blends data analytics, product delivery, and project execution; you will centralize datasets in a data lake and explore AI/ML use cases to improve efficiency and decision-making, while