Lead Data Analyst - Corporate Banking, AWS, Databricks

Lead Data Analyst - Corporate Banking, AWS, Databricks

Posted 1 day ago by Deloitte

Negotiable
Inside
Hybrid
London Area, United Kingdom

Summary: The Lead Data Analyst role focuses on overseeing a team of data analysts within the corporate banking sector, utilizing cloud technologies such as AWS and Databricks. The position requires translating business needs into functional requirements and supporting scrum teams in data analysis and backlog creation. Candidates must possess strong banking domain knowledge and experience in data modernization. The role is hybrid, requiring in-office presence 2-3 days a week in London.

Key Responsibilities:

  • Lead a team of data analysts and support data analysis across use cases enabled by cloud technologies
  • Understanding and translating business requirements into functional requirements for scrum teams
  • Support in creating the backlog for scrum teams
  • Produce business requirements to source system data mapping
  • Support design activities by defining high level data objects for modelling

Key Skills:

  • Good Banking domain knowledge, especially corporate banking
  • Experience in data modernisation in Banking
  • Good understanding of testing across the AWS tech stack, Databricks, Orchestration
  • Good understanding of ETL, data mesh architecture

Salary (Rate): undetermined

City: London

Country: United Kingdom

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Contract Job Title: Lead Data Analyst - Corporate Banking, AWS, Databricks

Contract Rate: Competitive

Inside IR35

Contract Start: Immediate

Contract End: December 2026

Location: London (2/3 days Hybrid)

Must have Corporate Banking experience

Key Responsibilities:

  • Lead a team of data analysts and support data analysis across use cases enabled by cloud technologies
  • Understanding and translating business requirements into functional requirements for scrum teams
  • Support in creating the backlog for scrum teams
  • Produce business requirements to source system data mapping
  • Support design activities by defining high level data objects for modelling

Required Skills and Experience:

  • Good Banking domain knowledge, especially corporate banking.
  • Experience in data modernisation in Banking
  • Good understanding of testing across the AWS tech stack, Databricks, Orchestration
  • Good understanding of ETL, data mesh architecture