Data Warehouse

2 days ago

Singapore PRM MARKETING SERVICES PTE. LTD. Full time

To manage Enterprise level data from various marketing activities and sales operations. Manage end-to-end in data warehousing strategy, planning, implementation, and maintenance.

**Responsibilities**:

- Design and Develop Data Warehouses (DW)/Data Mart (DM) architecture, continuously enhance and improve to ensure it meets technical and business requirements.
- Manage and Maintain Data Warehouses: running smoothly, monitor system performance, diagnose and troubleshoot issues, and make necessary changes to optimize DB performance.
- Data Integration and Processing: processing, cleaning, and integrating large data sets from various sources to ensure that the data is accurate, complete, and consistent.
- Data Modeling: designing and implementing data modeling solutions to ensure that the data is properly structured and organized for analysis.
- Data Analysis, Reporting and Dashboarding: responsible for analyzing, and interpreting data to support decision-making. Utilize data analytics techniques to identify trends, track KPIs, and provide insights that drive business objectives.
- Collaboration: work closely with cross-functional teams

**Qualifications & experience**:

- Bachelor’s or Master’s degree in computer science, data science, or a related field.
- 5+ years of relevant working experience in successful DW/DM implementation including experience in database performance tuning and query optimization.
- Experience in designing, developing, managing, and maintaining of Data marts, meta-data, data warehouse architectures.
- Proficient in cloud data warehousing technologies (Azure environment), including Microsoft BI technology (SSRS, SSIS, SSAS and Power BI)
- Experience in ETL, SQL, and data modeling techniques.
- Strong in programming languages such as SQL, Python, or R.
- Strong analytical skills to identify patterns and insights from large and complex data sets.
- Cloud Data Warehouse technologies such as AZURE Data Warehouse preferred.
- Experience in Machine Learning, AI and Statistics will be useful.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.

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