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Data Solutions & Analytics Lead - Securities Services Finance - Sr Associate

Job in Jersey City, Hudson County, New Jersey, 07310, USA
Listing for: Chase
Full Time position
Listed on 2026-09-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Systems & Technology Analysis, AI Business & Operations
Job Description & How to Apply Below

Data Solutions & Analytics Lead

Join a team that connects data to real outcomes for a global financial institution. You will build scalable data applications, centralize critical datasets, and deliver analytics that help teams make faster, better decisions. If you enjoy solving complex problems end-to-end—from understanding the need to launching a working solution—this role offers a high-visibility opportunity to make an impact. You'll work across finance, product, operations, and technology to modernize how information is accessed and used.

This role blends data analytics, product delivery, and project execution. You will help centralize key datasets in a data lake and develop reusable data assets that reduce fragmentation and manual effort. You'll have the opportunity to initiate artificial intelligence and machine learning use cases where they can improve process efficiency and decision-making. Success in this role comes from strong ownership, clear communication, and the ability to move from ambiguity to delivery.

Job responsibilities include:

  • Design and develop data models that integrate complex datasets and enable analytics at scale.
  • Analyze data using tools such as SQL, Python, Tableau, Alteryx, or similar platforms to uncover insights and improve outcomes.
  • Automate recurring reporting and manual processes to improve efficiency and reduce operational risk.
  • Lead end-to-end project delivery, including requirements gathering, documentation, and stakeholder updates.
  • Write clear business requirements documents and translate business needs into actionable delivery plans.
  • Partner with product, operations, technology, and finance teams to align solutions to strategic goals.
  • Build scalable data applications and data products from concept through implementation and adoption.
  • Identify opportunities to apply artificial intelligence and machine learning to enhance decision-making and workflows.
  • Establish and promote standards and best practices for analytics, documentation, and solution delivery.
  • Present findings and recommendations to stakeholders in a clear, structured manner.
  • Improve how teams access and use data by enabling self-service, trusted datasets, and transparent definitions.

Required qualifications, capabilities, and skills include:

  • Bachelor's degree.
  • At least four years of experience in data analytics, product development, or project management (financial services preferred).
  • Hands-on proficiency with at least one modern analytics, visualization, or engineering tool (for example: SQL, Python, Tableau, Power BI, R).
  • Demonstrated experience working with large, complex datasets and building data models.
  • Proven ability to deliver outcomes independently with strong ownership and follow-through.
  • Strong problem-solving skills with a logical, structured approach to planning and decision-making.
  • Demonstrated project execution skills, including writing requirements and managing delivery in a fast-paced environment.
  • Strong communication skills, including presenting analysis and recommendations to cross-functional stakeholders.
  • Experience partnering effectively across business and technology teams.
  • Experience designing solutions that improve reporting, decision-making, or operational efficiency.

Preferred qualifications, capabilities, and skills include:

  • Experience supporting finance functions such as financial planning and analysis or finance business management.
  • Experience in securities services, transaction processing, or related financial products.
  • Experience delivering automation or advanced analytics initiatives that reduce manual effort.
  • Experience initiating or delivering artificial intelligence and machine learning use cases.
  • Familiarity with building data assets in a data lake environment.
  • Relevant certifications in analytics, data, or finance.
About Us

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small…

Position Requirements
10+ Years work experience
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