Business Intelligence Developer - (Ho Chi Minh/Long An)

Công Ty TNHH Square Roots

Địa điểm làm việc: Hồ Chí Minh

Hết hạn: 13/02/2025

Chi tiết công việc
Giới thiệu công ty

Thu nhập: Cạnh tranh

Loại hình: Toàn thời gian

Chức vụ: Nhân viên

Kinh nghiệm: 2 năm

phần mềm business intelligence data analysis design

Mô tả công việc

Mô tả Công việc
Data Analysis and Reporting
Gather and analyze business requirements for BI tools and systems.
Design, build, and deploy BI solutions (e.g., dashboards and reporting tools).
Collaborate with business teams to understand data needs and translate them into technical specifications.
Create interactive and user-friendly dashboards using BI tools like Power BI, Tableau, or Qlik.
Data Integration and Management
Design Datawarehouse frame work and data modeling.
Extract, transform, and load (ETL) data from various sources into the BI environment.
Ensure data accuracy, consistency, and security within BI solutions.
Maintain and optimize data warehouse performance.
Develop and manage database queries, stored procedures, and views.
Building robust and scalable data models.
Testing and Troubleshooting
Conduct unit testing and troubleshooting of BI solutions.
Ensure data and reporting accuracy through regular quality checks.
Identify and resolve technical issues related to data integration and reporting.
Collaboration and Continuous Improvement
Work with IT teams to ensure BI systems are aligned with overall infrastructure and security standards.
Train business users on BI tools and best practices for using reports effectively.
Stay updated on BI technologies and trends to recommend improvements.
Gather and analyze business requirements for BI tools and systems.
Design, build, and deploy BI solutions (e.g., dashboards and reporting tools).
Collaborate with business teams to understand data needs and translate them into technical specifications.
Create interactive and user-friendly dashboards using BI tools like Power BI, Tableau, or Qlik.
Design Datawarehouse frame work and data modeling.
Extract, transform, and load (ETL) data from various sources into the BI environment.
Ensure data accuracy, consistency, and security within BI solutions.
Maintain and optimize data warehouse performance.
Develop and manage database queries, stored procedures, and views.
Building robust and scalable data models.
Conduct unit testing and troubleshooting of BI solutions.
Ensure data and reporting accuracy through regular quality checks.
Identify and resolve technical issues related to data integration and reporting.
Work with IT teams to ensure BI systems are aligned with overall infrastructure and security standards.
Train business users on BI tools and best practices for using reports effectively.
Stay updated on BI technologies and trends to recommend improvements.

Yêu cầu

Yêu Cầu Công Việc
Technical Skills
Proficiency in BI tools like Power BI, Tableau, QlikView, or Looker.
Strong SQL skills and experience with relational databases (e.g., SQL Server, MySQL, PostgreSQL).
Experience in ETL processes and tools (e.g., SSIS, Talend, Informatica).
Familiarity with data modeling, data warehousing, and OLAP cubes.
Knowledge ML and AI capabilities.
Knowledge of programming languages such as Python or R is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work collaboratively in a team environment.
Detail-oriented with a focus on data accuracy and quality.
Educational Requirements:
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field.
Certifications in BI tools (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist) are a plus.
Experience:
2+ years of experience in a similar role, developing and managing BI solutions.
Hands-on experience with data visualization and storytelling through dashboards.
Key Metrics for Success:
Timely delivery of accurate and insightful reports.
User adoption and satisfaction with BI tools.
Improved decision-making efficiency driven by BI solutions.
Optional Additions:
Experience with cloud platforms like Azure, AWS, or Google Cloud for BI deployments.
Understanding of business processes and KPIs in industries such as retail, manufacturing, or finance.