Full Time Senior Data Analyst Jobs, in NVD Asia Federal Territory - Maukerja

In this role, you won't be building underlying ETL pipelines yourself. Instead, you will manage and direct technical consultants who are setting up our Azure SQL database and ETL infrastructure. You will be the internal champion for our data—designing the data models, establishing strict data quality governance, and independently building and maintaining our suite of Power BI dashboards.

If you are a sharp problem-solver who can hold technical vendors accountable while delivering clean, actionable commercial intelligence, we want to hear from you.

• Consultant & Vendor Management: Act as the primary technical manager for external consultants. Define project scopes, manage timelines, and evaluate their execution in setting up ETL pipelines and Azure SQL database infrastructure.
• Industry Data Modeling: Design and define logical data models using shipping and operational data, ensuring structures accurately capture complex freight mechanics (e.g., HBL/MBL relationships, multi-leg journeys, and container utilization).
• Data Governance & Quality Control: Establish and monitor data governance frameworks and automated validation rules. Hold consultants accountable for data integrity and ensure high-quality, trustworthy data feeds.
• Power BI Development & Maintenance: Independently create, optimize, and maintain visually compelling, high-performance Power BI dashboards that track operational KPIs, carrier performance, and yield analysis.
• Autonomous Problem Solving: Serve as the absolute owner of our data domain. Proactively troubleshoot discrepancies, identify data gaps, and translate complex business needs into clear technical instructions for the consultants.

• Industry Experience: 3–5+ years of experience within Freight Forwarding, Third-Party Logistics (3PL), Global Supply Chain, or closely related maritime/aviation logistics sectors. Deep familiarity with shipping milestones, carrier data, and logistics KPIs is mandatory.
• Strong project management mindset.
• Data Modeling & SQL: Strong proficiency in SQL with a deep understanding of data warehousing concepts (Star/Snowflake schemas) and relational databases.
• Business Intelligence: Advanced, hands-on expertise in Power BI (including DAX, Power Query/M, data modeling within Power BI, and workspace management).
• Data Governance: Experience defining data quality metrics, designing data dictionaries, and setting up automated data validation processes.
• Mindset: Highly autonomous, proactive, and comfortable driving technical projects forward independently.