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Front office data analyst

London
Nicoll Curtin
Data analyst
Posted: 7 January
Offer description

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.

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