Build a good understanding of the GSS solution, configuration options and impact of configuration changes
Perform data analysis, in Python and/or SQL, to identify opportunities to improve effectiveness and efficiency of the GSS solution
Perform data analysis, in Python and/or SQL, to understand performance of client’s solution
Create client-facing reports to describe performance of GSS solution against defined success criteria
Build and maintain ETL processes in Python
Optimize processes through project learnings
Identify opportunities for improvements within the GSS solution through project learnings
Requirements
Required Degree in Mathematics, Science, Computer Science or similar
Minimum 2 years of work experience in a data analytics role
Proficiency in Python programming, SQL scripting and SQL databases
Ability to analyse information (identify trends & patterns) and present a summary of results
Fluent in written and spoken business English
Occasional travel to client site or otherwise
Desirable Experience in statistical modelling, and analysis using techniques such as regression analysis, multivariate analysis, factor analysis, and clustering
Experience in analysing data in payments platforms including SWIFT, ISO20022
Experience working with XML data structures and JSON data formats
Tech Stack
ETL
Python
SQL
Swift
Benefits
30 days of holiday (plus bank holidays)
Comprehensive Benefits: Including a generous pension scheme, annual discretionary bonus, private medical insurance, and life assurance.
Wellbeing Perks: Access to EAP, YuLife, holistic wellbeing programs, and a Virtual GP for your health and happiness.
Flexibility: Hybrid working environment (we are open to remote working for some roles, please check with us at application) with a ‘work abroad’ policy for up to 4 weeks a year.
Learning: Access to Udemy, a learning platform with thousands of top-rated courses to develop both tech and business skills.