Data Analyst (Power BI/ SQL/ Python)- Insurance 30-40k

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 335,000 - 446,000; Full time

Job summary

Michael Page International (HK) Ltd in Hong Kong seeks a Data Analyst skilled in Power BI, SQL and Python to build and maintain dashboards that drive insights for the insurance sector.

You will work with Databricks to handle large datasets, write queries, and collaborate with stakeholders to translate data requirements into actionable analytics.

This role emphasizes accuracy, scalability, and automation, with a renewable contract and opportunities to grow within a large, tech-forward organization.

Qualifications

• Proficiency in Power BI, Databricks, SQL, and Python.
• Solid understanding of data visualization and analytics tools.
• Strong problem-solving and analytical skills.

Responsibilities

• Develop and maintain Power BI reports and dashboards.
• Write and optimize SQL queries for data extraction and transformation.
• Apply Python for data analysis and automation tasks.
• Collaborate with stakeholders to understand data requirements and deliver insights.
• Ensure data accuracy and integrity in all reports and analyses.
• Identify trends and patterns to support strategic decision-making.

Skills

Power BI

Databricks

SQL

Python

Data visualization

Analytics

Stakeholder communication

Job description

Data Analyst (Power BI/ SQL/ Python)- Insurance 30-40k

As a Data Analyst, your main responsibilities will include:

• Developing and maintaining reports and dashboards using Power BI to support business insights.
• Utilizing Databricks to manage and analyze large datasets effectively.
• Writing and optimizing SQL queries for data extraction and transformation.
• Applying Python for advanced data analysis and automation tasks.
• Collaborating with stakeholders to understand data requirements and deliver actionable insights.
• Ensuring data accuracy and integrity in all reports and analyses.
• Identifying trends and patterns in data to support strategic decision-making.
• Documenting processes and maintaining data analysis best practices.

As a Data Analyst, your main responsibilities will include:

• Developing and maintaining reports and dashboards using Power BI to support business insights.
• Utilizing Databricks to manage and analyze large datasets effectively.
• Writing and optimizing SQL queries for data extraction and transformation.
• Applying Python for advanced data analysis and automation tasks.
• Collaborating with stakeholders to understand data requirements and deliver actionable insights.
• Ensuring data accuracy and integrity in all reports and analyses.
• Identifying trends and patterns in data to support strategic decision-making.
• Documenting processes and maintaining data analysis best practices.

Great Learning PlatformGood Exposure to Financial Industry

A successful Data Analyst should have:

• Proficiency in Power BI, Databricks, SQL, and Python.
• A solid understanding of data visualization and analytics tools.
• Strong problem-solving and analytical skills.
• An ability to manage and interpret large data sets with attention to detail.
• Familiarity with the insurance industry is an advantage.
• Effective communication skills to present findings to stakeholders.
• A proactive approach to learning and adapting to new technologies.

This role is with a large organization within the insurance industry. The company is well-regarded for its robust market presence and commitment to leveraging technology to drive business decisions.

• Opportunity to work on a renewable contract under Michael Page.
• Be part of a large organization in the insurance industry.
• Collaborative and innovative work environment in Hong Kong.

This is an excellent opportunity to further your career as a Data Analyst in the insurance industry. If you are passionate about data and eager to make a difference,