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 / QualificationsPrimary 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