Data Analyst

Data Analysis & Reporting:
- Collect, clean, and analyze large datasets related to underwriting, claims, customer behavior, and policy performance.
- Develop dashboards and reports to present insights to stakeholders.
Business Insights & Strategy:
- Provide recommendations to improve operational efficiency, pricing strategies, and customer retention.
- Identify trends, patterns, and anomalies in data to support risk assessment and decision- making.
Insurance Sales Improvement:
- Collaborate with the sales and marketing teams to optimize lead conversion and track campaign performance.
- Analyze sales performance data to identify key drivers, trends, and areas for improvement.
- Develop predictive models to identify cross- selling and up- selling opportunities for existing customers.
- Segment customer data to create personalized marketing campaigns that align with customer needs.
Predictive Modeling & Risk Assessment:
- Assist in developing risk- scoring models for policy underwriting.
- Work with actuarial teams to build predictive models for claims probability and fraud detection.
Collaboration & Communication:
- Collaborate with cross- functional teams to understand their data needs and deliver tailored solutions.
- Work closely with Managers and BoD to find out their needs on an AI- ML roadmap
- Clearly communicate findings through presentations, visualizations, and written reports.

- Graduated from University with a major in Information Technology, Management Information Systems, Project Management, or related fields.
- Experienced in Insurance Industry
- Preferred Qualifications
- Strong analytical and problem- solving skills.
- Eager to learn, with a proactive and adaptable mindset.
- Proficiency in Python and SQL for data manipulation and analysis.
- At least 3–5 years of experience, preferably in the Insurance, Finance, or Banking sectors.
- Ability to work independently and as part of a team in a fast- paced environment.
- Excellent communication and interpersonal skills.
+ Experience with data visualization tools (e.g., Tableau, Power BI).
+ Familiarity with statistical analysis techniques.

- A- class office, professional atmosphere, and modern equipment.
- A professional working environment with opportunities to participate in many large- scale digital transformation projects.
- Opportunities for professional development and training.
- Work in a dynamic technology environment.
- Full insurance benefits according to law. Personal health insurance.
- Competitive salary.
- Participation in the company’s cultural and social activities.

Cập nhật gần nhất lúc: 2025-11-17 16:10:03