Data Analyst
5 months ago
Sunday is a fully-integrated sales and services Insurtech headquartered in Thailand and Indonesia that uses artificial intelligence and digital platforms to offer personalized insurance products and services that suit all types of individual and business risks. Here to reinvent the entire insurance value chain, the company offers its end-to-end solutions via its partners and proprietary distribution channels.
Why take a chance with us? We are a team player of results-driven professionals who know how to have fun too
Join us to work with a global team of leading talents in software engineering, big data and insurance as we embark on a mission to reinvent the insurance technology space and start seeing your work transform markets across Asia and the world.
**_ Data Analytics _**
**_As a Data Analytics _**each day, you'll be...**
- Design, develop, and maintain our data warehouse infrastructure using AWS services.
- Perform data cleaning, preprocessing, and normalization to ensure data integrity.
- Data modeling craft from a well understanding of business logics.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions and execution.
- Analyze historical data trends and patterns to identify insights and support strategic decision-making.
- Develop dashboards and reports to visualize and communicate actionable insights effectively to stakeholders.
- Stay updated on industry trends and best practices in data engineering and analytics.
**What we would like you to have**
- Bachelor's degree in Statistics, Mathematics, Computer Engineering or related field.
- Experience with AWS services such as S3 and Redshift.
- Proficient knowledge of SQL for querying and manipulating data within databases.
- Familiar with Tableau or Power BI for data visualization and Excel for reporting.
- Familiar with data warehousing concepts and architecture.
- Ability to work effectively in a collaborative team environment and communicate technical concepts to non-technical stakeholders.
- Excellent analytical and problem-solving skills with a keen attention to detail.
- Eager to learn and adapt to new technologies and methodologies in data analytics and engineering.
- Prior experience in the insurance industry is a plus
- Knowledge in Python programming is a plus
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