Business Analyst - Data (Insurance)

Posted 21 February 2023
Salary HKD30000 - HKD50000 per month
LocationHong Kong
Job type Permanent
ContactHelen Fong

Job description

Our client is a fast-growing, innovative international Insurance Group with a solid focus on growing the Hong Kong business with a wide range of insurance products. They are currently hiring a Business Analyst to support the team and a variety of projects. In this role, you will work with a team to define the requirements for the visualized dashboard, do the development of the dashboard on the visualization tool, test and train end users on the tool.

Job Description
  • Document data solutions, standards, requirement specifications, and business processes
  • Design, develop and implement secured, reliable, cost effective and high performance ETL solutions using Python
  • Perform unit testing, design & support integration testing strategies and automate data quality monitoring
  • Take ownership and manage timely completion of deliverables
  • Maintain good documentation of the solutions and effectively communicate stakeholders about the value added
  • Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, and communicate clearly and effectively to business partners and senior leaders all findings
  • Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities
  • Work closely with internal and external business partners in building, implementing, tracking and improving decision strategies
  • Bachelor's degree in Computer Science / Engineering / IT Degree or relevant disciplines
  • Ability to understand and write SQL, Python programming
  • At least 2 years of hands-on experience working on Databricks and Microsoft Azure Synapse
  • Ability to work with SQL/NOSQL database management systems and data warehouses
  • Hands-on experience in AWS/Azure/Google cloud services
  • Experience in data visualization tools (e.g. Tableau) will be advantageous
  • Good experience in ETL tools like Talend, Informatica or DataStage