Data Analyst
5 days ago
**Data Analyst** is responsible to collect and analyse data to provide actionable insights to drive operations efficiency and productivity. Setup reporting capability to help decision making and guide departments towards achieving KPIs. To monitor end to end service performance and work with various stakeholders to improve overall service level.
**Key Activities / Accountabilities**:
- Design and implement methods to gather and manage supply chain data. Work closely with IT department/Data Engineer to define data scope and requirement.
- Define relevant operations KPI metrics and monitor progress against target.
- Support the business in their analytical needs across departments and verticals.
- Create storyboard/ report via analytical tools automation for dashboards and reports.
- Maintain and manage existing analytics tools and reporting platforms.
- Maintain existing reports and develop new report where necessary to support business needs.
- Make enhancement and automate reporting where necessary to cut down manual report compilation works.
- Work closely with cross-functional stakeholders to gather business requirement and translate information into relevant dashboard report
**Preferred Qualifications, Experience and Skills**:
- Diploma/Degree holder in data analytic/science, statistics or equivalent field
- 2 years of experience in support function, true number-cruncher and understanding of data and mathematics, preferably with working experience in the Logistics industry
- Excellent in Excel / MSAccess and basic Office Suite tools
- Solid understanding of SQL.
- Strong comprehension of BI tools (Tableu/Power BI).
- Excellent in data visualization and storytelling.
- Python knowledge is a plus.
**Working Location**:
UOA Business Park, Seksyen U1, Shah Alam, Selangor
**Job Types**: Full-time, Permanent
**Salary**: RM3,000.00 - RM4,000.00 per month
**Benefits**:
- Cell phone reimbursement
- Free parking
- Health insurance
- Maternity leave
- Opportunities for promotion
- Parental leave
- Professional development
Schedule:
- Day shift
- Monday to Friday
COVID-19 considerations:
All staff are required to wear mask
**Education**:
- Bachelor's (preferred)
**Experience**:
- Data analysis skills: 2 years (preferred)
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