workflows. Excel (PivotTables, macros, robust spreadsheet controls). SAS/SQL capability for data extraction and transformation

JIRA Confluence Azure DevOps Miro Figma (preferred) Data & Analytics SQL (preferred) Business Intelligence

. Strong command of Python, SQL, statistical modeling, and machine learning. Exceptional written communication skills

using tools such as Snowflake, Databricks, Python/R, SQL, Tableau/Power BI, and enterprise ML platforms like SageMaker

VDI environments. Strong knowledge of Windows environments including AD, DNS, SQL, and SCOM. Understanding of physical

in Python. Experience with data processing frameworks like Apache Spark or Hadoop. Knowledge of database systems (SQL

. Good working knowledge in SAS/Graph, Proc SQL. Minimum 3 years of previous related experience. We love knowing

and self-directed. Preferred Experience with Python and/or SQL for data analysis and system-building. Experience with A/B

, data visualisation and self-service analytics. Essential: strong SQL skills, with the ability to query, transform

and/or SQL for data analysis and system-building. Experience with A/B-book risk models, transaction cost analysis, or execution

with SQL and Python Familiarity with machine learning concepts and their practical application Experience in cleaning

and PowerPoint; basic knowledge of Python or SQL is a plus Excellent communication and analytical skills, with the ability

to troubleshoot and modify integration/interface logic. Use SQL/databases to investigate integration and application issues. Work... of SQL and databases. Working knowledge of XSD/schema structures. Experience with EMR, PACS, HIS or other clinical

engineering processes Working knowledge of SQL and database testing Familiarity with CI/CD pipelines and tools Experience

, R and/or SQL. Strong understanding of data modelling techniques, including dimensional modelling, Medallion

, membership, trading and operational performance. That will include: Using SQL to interrogate data across multiple systems... about what you do with the information once you’ve found it. The key requirements are: Strong SQL skills and confidence working independently

Server, MS Office 365 services skills and experience Microsoft Certification , SQL Server , Linux, Network troubleshooting

platforms would be advantageous but is not essential Comfortable using tools such as Excel, Looker, Tableau, Power BI, SQL

, SQL, R, Python or similar Confident working directly with underwriters and wider business teams Commercially minded

approach and a passion for continuous improvement. Desirable Skills & Experience Experience with SQL querying and data