Data Analytics Support Engineer (Retail)
Malaysia
Applications have closed
Watsons Malaysia
Job Responsibilities
Key Responsibilities Data Management and Integration
- Create, maintain, and optimize ETL processes to consolidate data from various sources into different BI platforms like Power BI, Tableau, SAP BO.
- Extract and build datasets from regional data lake EDP by business requirement.
- Ensure data quality, accuracy, and reliability across all analytics platforms.
- Work on different databases (MSSQL, MySQL and Oracle DB), data warehouse/lake for data aggregation, preparation and integration.
- Attend to ad hoc requests for data extraction, data cleansing, and data patching.
- Provide documentation on the data flow of dashboard/reports.
Analytics and Reporting
- Maintain and enhance existing dashboards and reports on Tableau, Power BI and SAP BO platform, ensuring day-to-day operational and commercial dashboards & reports are delivered timely and accurately.
- Build new reports and dashboards using Power BI to provide actionable insights and support decision-making.
- Analyze datasets to identify issues, trends, and patterns.
Collaboration and Support
- Work closely with users to understand business needs and translate them into technical requirements.
- Provide data & dashboard-related support to business users, including but not limited to data extraction, visualization, troubleshooting data inconsistencies, system performance related issues, dashboard enhancement and etc.
- Collaborate with GIT and regional data team on local data requirements, clarification, bridging communication with local users, and knowledge exchange.
- Work with vendors to ensure correct business requirements are captured, solution design, development and delivery are according to expectations.
- Provide training and support to end-users on data analytics tools and best practices.
Job Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- Two (2) or more years of experience in data engineering, analytics, or a similar role.
- Proficiency in Oracle / MS SQL scripting, SQL stored procedure, and Python.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Strong knowledge of ETL processes, data warehousing, and data integration techniques.
- Knowledge on data lake and cloud data engineering platform like Databricks is an added advantage.
- Ability to problem solve, research and communicate effectively with minimal supervision.
- Take ownership of tasks & work independently in a fast-paced, dynamic environment.
Key Performance Indicators (KPIs)
- Delivery: Number of dashboards/reports delivered
- Report/Dashboard Accuracy: Number of errors or discrepancies identified in the dashboards and/or generated reports.
- ETL Process Efficiency: Time taken to extract, transform, and load data from various sources.
- Stakeholder Satisfaction: Feedback scores from stakeholders on data solutions and support.
- Project Timeliness: Percentage of projects completed within the agreed timeframe.
- Innovation: Number of new data solutions or improvements implemented.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data Analytics Databricks Data management Data quality Data visualization Data warehouse Data Warehousing Engineering ETL Git KPIs MS SQL MySQL Oracle Power BI Python Research SQL Tableau
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