IT & Software

Planning and Analysis Data Modeler – Senior Associate

JP Morgan Chase

London · Greater London · United Kingdom

Overview

In this role you design and implement end-to-end data models to improve accessibility and understanding for diverse users. You will partner with finance, analytics, and technology teams to standardize data and enhance pipelines. You’ll tackle complex data problems at the finance-technology interface and help scale data products for Planning & Analysis. You will innovate with AI-enabled tools to speed development and embed AI into workflows, driving more analytics-led decisions. This is a hands-on, impact-driven opportunity to shape data solutions at JPMorganChase.

Responsibilities
  • Design, develop, test, and refine data models and analytic prototypes
  • Solve complex data challenges at the intersection of finance and technology
  • Support the development of cloud-based data lakehouse solutions for Planning & Analysis
  • Guide and support data consumers in leveraging data products for analytics and planning
  • Utilize AI-assisted coding tools to accelerate development and optimize SQL
  • Identify opportunities to embed AI into Planning & Analysis workflows
  • Work with diverse data sets to support various Planning & Analysis processes
  • Collaborate with senior team members on solution design
  • Inspire innovation and champion change across teams within JPMorganChase
Key requirements
  • Strong analytical and problem-solving skills with attention to detail
  • Hands-on experience building and prototyping data models to address user needs
  • Proficient in SQL and Python for data analysis, engineering, and transformation
  • Experience developing, testing, and refining data models using dimensional and relational approaches
  • Curious mindset with a drive for continuous improvement
  • Familiarity with prompt engineering principles and LLM-based tools
  • Effective communication skills to present data findings and support users
  • Experience with ETL/ELT processes and architecture in data pipelines
  • Experience building models for dashboard or cube consumption
  • Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud
  • Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
  • Strong communication
  • Curiosity and continuous improvement mindset
  • Collaboration and teamwork
  • SQL
  • Python
  • Data modeling (dimensional and relational)

Reference: WJ-747_30148250

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