UNIVERSAL SCIENTIFIC INDUSTRIAL

We are seeking a skilled and passionate data to join our Data team. The successful candidate will play a crucial role in designing, building, and managing our data systems, providing valuable insights to support strategic decision-making and drive business growth.Responsibilities:
Collaborate with the Data team to gather, collect, and synthesize data from various systems into the data warehouse
Design and implement data warehouse, data mart, and data dictionary architectures to meet business needs
Analyze data from multiple sources using advanced statistical and extract meaningful insights.
Develop and maintain comprehensive KPI reports to track business performance and inform decision-making.
Develop SBV reports
Partner with stakeholders across various departments, including business, sales, marketing, and IT, to gather requirements and communicate analysis results
Share data analysis knowledge and expertise with team members and conduct training sessionsSkills:
2+ years of experience in data engineering, data operation, with a proven track record of success in large-scale and complex projects
Proficiency in data analysis programming languages such as PL/SQL, SQL, Python
Experience working with big data tools and platforms like Oracle, PostgreSQL, Spark.
In-depth knowledge of statistics, machine learning, and advanced data analysis techniques
Good at written and verbal communication skills
Strong collaboration and teamwork abilities
Creative problem-solving and critical thinking skills
Ability to learn quickly and adapt to new environments
Knowledge:
Domain expertise in the finance, banking
Understanding of emerging data analysis trends and technologies
Bachelor's degree in Computer Science, University Of Science, or a related field
Bonus:
Experience with cloud platforms like AWS and Azure
Familiarity with Power BI
Understanding of financial concepts and banking productsHDBank tạo cảm giác nơi làm việc như là một ngôi nhà thứ hai để bạn thỏa sức sáng tạo và đam mê.
Thưởng 13,14
Thưởng theo xếp loại
Bảo hiểm y tế, bảo hiểm tai nạn
Du lịch nghỉ mát hằng năm
Tăng lượng dịnh kì