Senior Data Analyst (Python - Snowflake)

Contingent Workforce Solutions; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A major recruitment agency seeks an experienced Senior Data Analyst to support a leading UK retail bank. This hybrid role involves developing data pipelines and providing insights on customer behavior using Python and Snowflake. Candidates should have a background in banking or financial services, and familiarity with CI/CD processes. Join to drive operational improvements and support strategic decisions.

Qualifications

• Proven experience as a Data Analyst or Data Engineer within the banking or financial services sector.
• Strong programming skills in Python, Snowflake, and PySpark.
• Hands-on experience in big data environments.

Responsibilities

• Develop and maintain a single source of enriched data.
• Translate business requirements into scalable code.
• Enable decision-making through accurate insights.

Skills

Data Analysis

Python Programming

Snowflake

PySpark

CI/CD Processes

Interest Rate Risk Management

Job description

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

Our Contingent Workforce Solutions (CWS) is one of our service offerings. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed.

Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.

On behalf of this organisation, AMS are looking for a Senior Data Analyst (Python - Snowflake) for a 6 Months contract based in London (Hybrid - 2 times per week in the office)

Purpose of the role:

We are looking for an experienced Senior Data Analyst to join our Client's Balance Sheet Management team. This role is critical in delivering enhanced, granular insights into customer behavior through enriched, application-level data. You will extract and transform data into actionable insights that support decision-making and operational improvements.

What you'll do:

• Develop and maintain a single source of enriched application-level data to be used across Finance, Treasury, Pricing function.
• Design and implement robust data pipelines leveraging existing data feeds from Pricing, Finance, and the PI CoE.
• Translate complex business requirements into scalable and maintainable code using Python, PySpark, and CI/CD best practices.
• Provide actionable insights into customer behaviours including Hopping, drawdown patterns, speed to Drawdown.
• Enable strategic and operational decision-making through accurate, timely, and behavioural insights.
• Work closely with stakeholders to inform business responses to emerging customer trends.

The skills you'll need:

• Proven experience as a Data Analyst or Data Engineer within the banking or financial services sector.
• Strong programming skills in Python, Snowflake and PySpark with experience in building reusable analytics libraries.
• Hands-on experience working in big data environments and on application-level datasets.
• Solid understanding of CI/CD processes, version control (e.g., Git), and deployment pipelines.
• Experience with interest rate risk management and understanding of treasury/ALM functions.

Next steps

This client will only accept workers operating via an Umbrella or PAYE engagement model.

If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.

AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business