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Senior Data Analyst (Power BI)
Nơi làm việc
Head Office: 15/F Sài Gòn Centre Tower 2 Building, 67 Lê Lợi, Phường Bến Nghé, Quận 1, Thành phố Hồ Chí Minh
Mức thu nhập
Thương lượng
Hình thức làm việc:
Full-time
Yêu cầu công việc:
B.A Degree or higher in Information Management System related field
Advanced Power BI, SQL, Excel VBA and BI Tools (Tableau, Cognos, PowerBI etc.) is a must to have.
Having at least 3 years of working experience as data analyst, and at least 1 year of working experience in a service industry (Finance, Banking, Insurance, FAANG...)
Minimum 2 years of experience in Microsoft SQL Server/Oracle
Previous working experience with Azure Data Factory, Azure Data Warehouse, Azure and Azure Analysis Services, Azure Databricks and PowerBI is a BIG plus
The fundamental of statistics is required.
Demonstrated strength in data modelling, ETL development, and data warehousing
Comfortable working with development tools such as Git, JIRA, and DevOps
Experience with Agile development methodology
Strong team and communication skills
Problem solving & Critical thinking
Python/R & Machine learning is nice to have.
Mô tả công việc:
Design, implement and maintain reporting databases, data warehouse and OLAP data structures.
Executes creation of tabular operational reports and aggregation reports with medium to high complexity Incumbents in this role may often be referred to as Data Scientists.
Responsible for documenting metadata, data lineage, data definitions and business glossary entries.
Helps to define guidelines for data management, governance and reporting.
Understands business logic for aggregation and analysis services.
Can perform data transformation and can produce dimensional reports.
Can perform basic data profiling activities, understands cardinality.
Quyền lợi & Chính sách:
Responsible for working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools (e.g. SQL Server, Oracle) to help predict, improve, and measure the success of key business to business outcomes.
Responsible for documenting data requirements, data collection/processing/cleaning, and exploratory data analysis; which may include utilizing statistical models/algorithms and data visualization techniques.
