Logistics Data Analyst
DB Schenker Bedok Full-time
General Description (Job Scope)
- A detail-oriented and highly analytical Data Analyst.
- Processing and analyzing data to provide accountable insights that drive business decisions.
- Work with large datasets, develop reports, and support various departments in data-driven strategies.
- Collect, clean, and validate data from multiple sources to ensure accuracy and consistency.
- Perform detailed analysis and provide insights on business performance, trends, and patterns.
- Design and implement data models, dashboards, and reports to support decision-making.
- Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
- Use statistical tools and techniques to analyze data and identify opportunities for improvement.
- Prepare and present data findings in clear, understandable formats for stakeholders at all levels.
- Monitor and optimize data quality, performing regular data audits and ensuring compliance with data governance standards.
- Assist in automating data workflows and processes for efficiency.
- Strong proficiency in data analysis tools (Must Have - Python and SQL), with experience gained through academic projects, internships or professional works.
- Hands-on experience in data cleaning, transformation, and validation.
- Strong skills in Microsoft Excel, including use of pivot tables, Power Query, and/or VBA.
- Attentive to detail with the ability to interpret complex data and make data-driven
- Ability to work independently and manage multiple projects effectively.
- Strong communication skills with the ability to present findings clearly to both technical and non-technical stakeholders.
- Proactive mindset with strong sense of initiative, continuously seeking ways to improve processes, reporting accuracy, and operation efficiency.
- Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Familiarity with data visualization tools such as Power BI or Tableau is an advantage.
- Open for Fresh graduates with relevant experience from academic projects or internships in data analytics or logistics-related fields.
- Alternatively, 1 - 2 years of working experience in data analytics roles or in warehousing/logistics functions.
- Ability to thrive in a fast-paced and dynamic work environment.
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