Senior Data Analyst

An opportunity for a data focused leader to shape and deliver a large scale financial data transformation programme supporting strategic decision making across a banking business. The role centres on building robust data pipelines, owning the data warehouse architecture, and ensuring high quality data to power reporting, analytics and insights., * Lead the design, build and optimisation of the enterprise data warehouse, including sourcing, validation, ingestion and data architecture.

• Develop and manage automated ETL pipelines and workflows for financial datasets.
• Integrate data warehouse outputs with Salesforce, PowerBI, pricing platforms and other analytical endpoints.
• Ensure accuracy, consistency and scalability of historic and current datasets and align them to evolving data models.
• Create detailed business requirements documentation that supports technology delivery teams.
• Support the build of new data models that power internal management information and AI aligned analytics.
• Collaborate with internal teams and external providers to improve data quality and streamline data delivery processes.
• Drive enhancements in data governance and act as subject matter expert for all data related topics.
• Maintain data quality and client hierarchy within Salesforce in partnership with client onboarding teams.

• Strong experience in data analysis and enterprise level data systems.
• Advanced SQL expertise with the ability to build complex queries and tables.
• Hands on experience managing ETL processes and working to tight project timelines.
• Strong knowledge of financial data, accounting principles and CIB business information frameworks.
• Experience working with large and complex datasets in a financial context.
• Proficient in Python and experienced with at least one major cloud data warehouse platform such as Snowflake.
• Experience working within a large financial institution and educated to degree level in a STEM field.
• Experience using Salesforce or similar CRM platforms.
• Excellent communication skills, proactive mindset and the ability to work independently and collaboratively.

Desirable:

Experience contributing to initiatives involving AI driven analytics and LLM use cases.