Business Intelligence Analyst (Shipping & Logistics - Hybrid/Graveyard Shift)
Job Purpose
The role of the Business Intelligence Analyst is to design, build, and execute data pipeline and visibility tools for the organization to improve performance. They will be working closely with the internal stakeholders as well as customers in the process and must have strong technical knowledge in data pipeline and visualization.
Roles & Responsibilities
Depending on products or customers that the candidate is assigned to, they may have the following roles or responsibilities:
Data Visualization – Turning data into information for stakeholders.
Data Automation – Create systematic way for data to be ingested.
Data Reporting – Provide adhoc or scheduled reports to stakeholders.
Data Troubleshooting – identify root cause of data issues with reports, dashboards or SQL scripts.
Team Player – Support other team members and back up each other.
KPIs – Monitor and determine improvement opportunities.
Clarifies and follows up with concerned parties on root cause of data discrepancies.
Qualifications
College and above, Mathematics or Computer Science major is preferred.
Expert level in SQL, and any modern programming language
Experience in dashboard visualization tools such as Tableau or Power BI
Integrity with strong sense of trust and responsibility
Ability to learn new knowledge and skills quickly
Good understanding of data management, data analytics, business intelligence or area related to their assigned product/program.
Requirements
Strong problem solving and communication skills• Experienced with Microsoft Office applications, especially Excel
Good in reading, written and spoken English
Possess data analytical skills and logical thinking
Attention to details and result-oriented
Self-motivated and willing to work under pressure
Strong organization skills and ability to follow documented procedures
Strong problem solving and communication skills
Background in freight forwarding, consolidation and logistics is preferred
Some technical knowledge in SQL, programming languages, BI related software