Job Responsibilities:
- Collect, process, and analyze datasets using statistical techniques to provide data visualizations.
- Develop and maintain dashboards to interpret trends or patterns in complex data sets.
- Generate automated reports/alerts to aid business stakeholders in decision making.
- Collaborate with cross-functional teams to understand their business needs and provide data-driven solutions.
- Filter and “clean” the data and establish ETL process and build data pipelines.
- Generate data tables for end user consumption based on the data pipelines.
- Perform ad-hoc analysis and data mining to answer specific business questions.
- Ensure data accuracy, integrity, and consistency across all data assets.
- Maintain clear and concise documentation of data processes and business logic.
- Work with management to prioritize business and information needs.
- Locate and define new process improvement opportunities, by staying relevant with industry trends & best practices.
- Any ad hoc jobs as provided
Job Requirements:
- Diploma or Degree/ in Business Analytics or Computer Science with major in Data Analytics
- 1 to 2 years of experience with data visualization tools such as Qliksense, Power BI, or similar.
- Proficiency in Python/SQL/SSIS for data manipulation and querying.
- Familiarity with ETL (Extract, Transform, Load) processes and tools.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Commendable communication and collaboration skills, with the ability to present complex findings in a clear and concise manner (Story telling).
- Ability to work independently with less supervision and manage multiple priorities in a fast-paced environment.
- Experience in supply chain management or manufacturing related domain is a plus.
