tools Knowledge of Power BI, SQL, Python or similar analytical technologies Exposure to SaaS, HR technology, payroll

validation. SQL and data reconciliation experience are highly desirable. Responsibilities: Lead the end-to-end

and experience using SQL or similar query tools. Knowledge of KPI reporting, performance monitoring and continuous improvement

- TypeScript - Python - React - Azure SQL - Prisma ORM WHAT YOU WILL DO DAY TO DAY: Design, develop and implement software

SQL and Tableau to extract, analyse and interpret complex datasets Advanced data visualisation skills, translating

, including interfaces, batch jobs, message queues and ISA-95 data flows. Practical troubleshooting capability using SQL

, with proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Looker). - Excellent communication and stakeholder

spreadsheets and, where appropriate, SQL, Python, R, business intelligence platforms, or similar technologies Market and customer

of relational database design principles, normalization, indexing, and data integrity. · Experience with Microsoft SQL Server... and Azure SQL Database administration. · Knowledge of data platform architecture including transactional, reporting

software issues through to resolution Troubleshooting application, configuration and data-related problems Using SQL Server... have some exposure to: SQL / SQL Server Supporting bespoke, SaaS or business-critical software Troubleshooting software

services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English

: Prior management experience Experience with database management and Google Analytics Familiarity with HTML, SQL, Python

: Basic knowledge of programming languages such as SQL, Python or R. Our purpose is to deliver excellent investment

strategies, analyse requirements and create effective test scenarios using BDD principles. Hands-on experience with SQL

in Python, PySpark, and SQL, following production coding best practices. Understanding of data, distributed ML pipelines

. SQL, SAS, Python) to manipulate data and produce insight using predictive analytics techniques. Training and support

tools Knowledge of Power BI, SQL, Python or similar analytical technologies Exposure to SaaS, HR technology, payroll

and manipulate data from large data warehouses using SAS and SQL. Analyse customer, lending and credit data to identify trends... hands-on experience using SAS and SQL to extract and analyse large datasets. Previous experience in Risk Analytics, Credit

generation of LLMs? Fluent in Python, R, and SQL, with hands-on experience working across large structured and unstructured

with database development (SQL Server, PostgreSQL, MySQL, etc) Proficiency with defining, right-sizing, tracking, and reporting