Middle Business Intelligence Developer

1. Reporting and Visualization:
Ensure data is presented in a clear and compelling manner to stakeholders;
Develop and maintain dashboards, reports, and visualizations to effectively communicate key metrics and insights;
Convert and migration dashboards from current system to new system.
2. Data Management:
Ensure the accuracy, consistency, and integrity of data across multiple sources;
Collaborate with data engineering teams to enhance data quality and accessibility.
3. Collaboration:
Work with Data Architect, Data Engineer, and other departments to understand their data needs and provide analytical support;
Assist senior analysts and data scientists in developing advanced analytics models.
4. Performance Optimization:
Identify opportunities for improving data analysis processes and methodologies;
Implement best practices for data analysis and reporting.
5. Ad-hoc Analysis:
Conduct ad-hoc analyses to answer specific business questions and provide immediate insights.

Salary: Up to 35M;
Probation salary is 100% of official salary;
13th-month salary and performance review twice a year;
Project bonus twice a year;
IT Certificate allowance as regulated;
Bonus for special occasions each year (Labor Day, National Day, Solar New Year, Lunar New Year);
BIC Care Health Insurance;
Social, health and unemployment Insurance following Government policy;
Enjoy company summer trip and other team building activities held monthly and quarterly;
Professional, creative and dynamic working environment;
Working days from Monday to Friday, with flexible check-in time.

Must have:
2-4 years of experience in business intelligence, or a related role;
Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or a related field;
Fluent English communication skills, both written and verbal, with the ability to present complex data insights to non-technical stakeholders;
Strong analytical and problem-solving skills;
Experience with data visualization tools (e.g., Tableau, Power BI, and MicroStrategy);
Proficiency in data analysis tools and languages such as SQL, Python, or R;
Excellent attention to detail and accuracy.
Nice to have:
Experience with database management systems such as SQL Server, Oracle, MySQL, or PostgreSQL;
Proficiency in writing complex SQL queries;
Understanding of data modeling and database design principles;
Understanding of data warehousing concepts and architectures;
Ability to create interactive dashboards, reports, and data visualizations;
Experience with building and maintaining data warehouses.