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Front Office Data Analyst
Nicoll Curtin
- London, England, United Kingdom
- London, England, United Kingdom
About
Front Office Data Analyst – VP - 12 month FTC Location:
London (Hybrid)
Duration:
12 month FTC
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. Must have a strong understanding of Front Office Trading and Front Office Data.
Responsibilities:
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.
Requirements:
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.
Must have 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.
Apply now for immediate consideration.
No sponsorship available; applicants must have the right to work in the region.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst and Information Technology
Industries
Financial Services, Banking, and Investment Banking
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Languages
- English
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