Senior Data Analyst

This range is provided by Nicoll Curtin. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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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.

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.
• 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.

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

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

Information Technology, Engineering, and Finance

Industries

Data Infrastructure and Analytics, Banking, and Investment Banking

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