Location : Global | Reports to : Enterprise Architect.
Industry : Logistics & Freight Forwarding.
Key Responsibilities :
Data Strategy & Architecture :
- Lead modernization of legacy systems into scalable, cloud-based data frameworks.
- Integrate structured / unstructured data into unified insights platforms.
Governance & Compliance :
Implement data governance standards (e.g., GDPR, ISO 27001), ensure data quality, and manage privacy compliance.Analytics & Insights :
Drive self-service BI, dashboards, and predictive models using tools like Power BI, Azure, and Snowflake.Translate complex data into actionable business insights.ETL & Data Integration :
Lead ETL pipeline development (AWS Glue, SSIS), manage SQL / NoSQL data migrations, and optimize performance.Cross-Functional Collaboration :
Work with business, tech, and analytics teams to prioritize data needs and foster a data-driven culture.Team Leadership :
Build and mentor a high-performing data team (analysts, scientists, architects).Promote experimentation and innovation.Qualifications :
1012 years in Data & Analytics roles with successful modernization project delivery.Hands-on experience with Power BI, SQL, Python, data lakes, cloud warehouses (AWS, Azure, Snowflake).Strong business acumen and stakeholder engagement skills.Exposure to machine learning and data governance tools (Collibra, Alation) is a plus.Key Deliverables :
Centralized data platform with standardized pipelines and reporting stack.KPI-driven dashboards and AI / ML-powered analytics.Robust data governance and compliance framework.High-performance data team and a company-wide data culture.Business-aligned data strategy driving growth, efficiency, and insights.ref : hirist.tech)