Job Summary

Data Analyst (Job Profile: Data Analyst C9)

Join us as a Data Analyst

• Take on a new challenge in a cutting edge data team, in which you'll manage the analysis of complex bank, franchise or function data to identify business issues and opportunities
• We'll look to you to provide high quality analytical input to help develop and implement innovative processes and resolve problems across the bank
• This is a hands on role in which you'll hone your data analysis expertise and gain valuable experience in a dynamic area of our business

What you'll do

As a Data Analyst, you'll play a key role in supporting the delivery of high quality business solutions. You'll be performing data extraction, storage, manipulation, processing and analysis, alongside developing and performing standard queries to ensure data quality and identify data inconsistencies and missing data.

Key Responsibilities

Day-to-day, you'll also be:

• Collecting, profiling and mapping appropriate data to use in new or existing solutions as well as for ongoing data activities
• Identifying and documenting data migration paths and processes, standardising data naming, data definitions and modelling
• Interpreting customer needs and turning them into functional or data requirements and process models
• Building and maintaining collaborative partnerships with key business stakeholders

Skill Requirements

The skills you'll need

We're looking for someone with strong knowledge of core banking products, including cards, mortgages and international currency accounts, alongside a solid understanding of payment systems and schemes such as CHAPS, Faster Payments, SWIFT and TARGET2. You'll be proficient in SQL, with experience analysing data across platforms such as Snowflake and Oracle, and a strong understanding of cloud-based data warehouses, particularly Snowflake.

Experience in banking and financial crime disciplines, including fraud, customer due diligence, KYC and AML, together with familiarity with AWS Cloud services, Informatica PowerCenter, and data warehouse and data lake technologies, would also be beneficial.

We'll also look for:

• An in-depth understanding of the interrelationships of data and multiple data domains
• A background in delivering research based on qualitative and quantitative data across a range of subjects
• An ability to analyse large datasets across diverse storage platforms using tools such as Python, SQL and Microsoft Excel
• Excellent communication, presentation and documentation skills, with the ability to influence senior stakeholders through clear, actionable recommendations
• Experience using AI tools to improve operational efficiency would be advantageous

Other Requirements