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
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