Senior Data Analyst

Responsibilities:

• Interpret data, transform raw data into structured information
• Create data models in collaboration with Business Analyst
• Work with ETL developer to create data pipelines and perform validations
• Create complex data transformations and mapping using Python in collaboration with ETL developer

Must have Technical Requirements / Qualifications

Primary Skills:

• Data modelling including conceptual, logical and physical
• Language: SQL, Python
• Framework: ETL framework
• Database: SQL database

Secondary Skills:

• AWS Glue, AWS Athena
• BS/MS degree in Computer Science, Computer Engineering, Information Management, Economics or a related subject
• Good English communication is a must
• Minimum 4+ years of relevant experience primarily in data analysis
• Proficient in data modelling for business requirements from conceptual to logical and physical data modelling
• Exceptional analytical skills to collect, organize, structure, analyse, and disseminate significant amounts of information with attention to detail and accuracy
• Capability to approach complex data challenges with innovative solutions
• Proficient in using data analysis languages including SQL, Python
• Knowledge of Insurance (Life/Non-life) domain is a plus
• Experience working with AWS Glue, AWS Athena is a plus
• Experience working in an Agile team, practicing Scrum, Kanban
• Good communication skills, interpersonal and teamworking skills
• Pro-active and flexible working approach
• Team-player with experience working with international and multi-functional teams
• Self-development skills to keep up to date with fast-changing trends