Lead Data Solutions & Analytics for Securities Finance

J.P. Morgan

New York (NY)

On-site

USD 130,000 - 180,000

Full time

7 days ago
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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

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