Job Description

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

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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.


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

The skills you'll need

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We're looking for someone with experience of using data analysis tools and delivering data analysis in a technology or IT function.


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 Excellent communication, interpersonal, documentation and presentation skills Excellent hands-on experience on SQL based database systems like Oracle, Snowflake Excellent knowledge in Banking and Finance domain specifically various banking products and payment standards like ISO20022 and payment journeys Strong problem solving, analytics and reasoning skills. * Experience using Python and various AWS cloud services such as S3, Athena and various file formats like parquet to query/pull/profile the data from heterogeneous sources