Data Scientist (33627) at Regus

Job scope 

• Support the Digital team by analysing data to aid commercial decision making. Activities include exporting data from SQL queries and other duties such as;  
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. 
• Clean, preprocess, and wrangle raw data from various sources to ensure data quality and integrity. 
• Communicate findings and insights effectively to non-technical stakeholders through visualizations, reports, and presentations.' 
• Utilize SQL queries to extract, manipulate, and analyze data from relational databases efficiently. 
• Apply advanced SQL techniques to perform complex data transformations and aggregations for analytical purposes. 
• Collaborate with database administrators to optimize database structures and query performance. 
• Integrate SQL-based data pipelines into the overall data processing workflow to ensure a seamless data flow from various sources. 
• Provide SQL expertise and support to team members, assisting in troubleshooting and resolving data-related issues. 

Background and experience 

• Previously experience of working with and analysing large data sets. 
• Experience at using SQL to access and manipulate data in a large, complex organisation. 
• Knowledge of SQL queries.  
• Strong analytical skills. 
• Excellent communication skills, able to simplify complex issues.  
• Works collaboratively with colleagues from other teams to deliver results. 
• Able to work independently.