Insurance Data BA (SQL/Python) – Growth & Impact

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 362,000 - 442,000; Full time

Job summary

Michael Page International (HK) Ltd in Hong Kong seeks a Business Analyst focused on data, SQL and Python within the insurance sector. You will engage with stakeholders, document requirements and translate them into technical solutions with emphasis on accuracy and efficiency.

You will collaborate with the tech team to implement data-driven improvements, create workflows, user stories and specifications, and support end-users through testing, QA and training.

Qualifications

• Strong understanding of the insurance industry and technology integration.
• Analytical and problem-solving skills with attention to detail.
• Proficiency in creating workflows and user stories documentation.
• Experience collaborating with stakeholders and cross-functional teams.
• Familiarity with testing processes and quality assurance practices.
• Proactive identification of risks and implementation of solutions.
• Strong communication skills to support end-users.

Responsibilities

• Collaborate with stakeholders to gather and document business requirements.
• Analyze processes and recommend technology-driven solutions to improve efficiency.
• Work with the technology team to implement solutions.
• Create detailed documentation including workflows, user stories, and specifications.
• Conduct testing and quality assurance to ensure solutions meet business needs.
• Provide support and training to end-users on new systems.
• Identify potential risks and propose mitigation strategies.
• Ensure compliance with industry standards and company policies.

Skills

SQL

Python

Stakeholder management

Documentation

Communication

QA/testing

Job description

Michael Page International (HK) Ltd in Hong Kong seeks a Business Analyst focused on data, SQL and Python within the insurance sector. You will engage with stakeholders, document requirements and translate them into technical solutions with emphasis on accuracy and efficiency.

You will collaborate with the tech team to implement data-driven improvements, create workflows, user stories and specifications, and support end-users through testing, QA and training.