Key Skills

Job Description

About us Hanseatic Global Terminals (HGT) is a fully owned subsidiary of Hapag-Lloyd. Operating from Rotterdam, HGT manages a portfolio of stakes in 26 terminals and complementary logistics services across 13 countries across 5 continents: Europe, North America, South America, Asia, Africa - with plans to expand its stakes to ~30 terminals by 2030. Spanning key regions, its portfolio comprises port terminals and related logistics services operated by Hanseatic Global Terminals Latin America in Latin America and Florida (USA), and, in the booming Indian market, it is present through the container terminals, depots and rail business of J M Baxi, India’s largest integrated terminal and logistics provider. Additionally, HGT’s presence in strategic European hubs, such as Germany, France and the Mediterranean, enhances its global network and allows it to offer seamless, efficient logistics and supply chain solutions to customers worldwide. At HGT, we are a highly motivated team of experienced international professionals who believe that growth in any partnership comes from trust and dedication. Our commitment to provide highly efficient terminal operations that are safe, sustainable, and reliable is rooted in a simple yet powerful vision: “offering exceptional service quality at all times.” The Position The Senior Manager of Data Analytics & Database Management leads the analytics function and owns the data foundation behind a global network of container terminals. This role turns operational, commercial and financial data into insight that improves berth, yard, gate and equipment performance, and ensures that data across terminals is accurate, governed and accessible. It sets the standards, platforms and analytical capability that let terminal and corporate leaders make faster, better-informed decisions. The role reports to the Business Controlling Director. Key Responsibilities Data Analytics & Insights: Define and own the terminal performance KPI framework, Lead the design and delivery of dashboards and standardized reports for terminal managers, regional leadership and group management. Analyze operational and commercial data to identify bottlenecks, cost drivers and revenue opportunities. Build forecasting and predictive models for vessel arrivals, yard congestion, equipment demand, maintenance needs and volume. Support scenario and sensitivity analyses for capacity planning, investments, tariff changes and automation business cases. Benchmark performance across terminals and against industry standards and share best practices. Present findings and recommendations to senior management in clear, decision-ready form. Database Management & Data Governance: Own the architecture, maintenance and optimization of the group's data warehouse, data lake and reporting databases to ensure accuracy, performance and accessibility. Implement and run a data governance framework in line with global standards, covering ownership, definitions, quality rules, lineage and retention. Establish a single, reconciled source of truth across terminals’ systems. Set data access, security and privacy controls Monitor data quality, run regular audits and resolve breaks and inconsistencies at the source. Standardize master data (customers, shipping lines, equipment, locations, container types and charge codes) across all sites. Plan backup, recovery, performance tuning and capacity of database environments, and manage database vendors and service levels. Document data models, data flows and standard operating procedures. Data Platforms & Digitization: Define the data and analytics roadmap and architecture, aligned with the group's digital and automation strategy. Lead integration of data from the Terminal systems Build and maintain automated data pipelines (ETL/ELT) and self-service BI using tools such as Power BI, Tableau, SQL and Python. Evaluate and introduce advanced analytics, machine learning and AI use cases such as predictive maintenance, yard optimization and vessel planning, with clear governance and risk guardrails. Work with IT, Engineering and vendors on system selection, integration, testing and rollout, and manage the data and analytics budget. Train and support users, and drive adoption of self-service analytics across terminals. Stay abreast of industry trends in port and terminal digitization and data standards. Leadership & Stakeholder Partnering: Lead, coach and develop the analytics and database team, set objectives and build a culture of accuracy, ownership and continuous improvement. Partner with terminal general managers, operations, commercial, finance, engineering and HSE to turn business questions into analytics solutions. Work with regional and group teams to align data standards and reporting across a multicultural, multi-site organization. Prioritize the analytics backlog against business value, and track benefits delivered. Represent data and analytics in steering committees, audits and senior management forums. Manage external vendors, consultants and data partners. Job Requirements Education: Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Finance or a related field; a Master's degree is preferred. 10+ years of experience in data analytics, business intelligence or database management, including 4+ years leading teams. Proven experience designing and running data warehouses or data lakes and a data governance framework. Advanced SQL and strong working knowledge of Python or R. Expertise in BI and visualization tools (Power BI, Tableau or equivalent) and in ETL/ELT and cloud data platforms (Azure, AWS, Google Cloud, Snowflake or similar). Experience with predictive modeling and machine learning applied to operational data. Strong analytical, problem-solving and communication skills, with the ability to brief senior executives. Fluent English; additional languages are advantageous Preferred Attributes: Experience in ports, container terminals, shipping, logistics or another asset-intensive operation. Hands-on knowledge of a Terminal Operating System (Navis N4, Tideworks or equivalent) and terminal automation or equipment data. Demonstrated experience leading data and digital transformation across multiple sites or countries. Relevant certifications (for example cloud data engineering, DAMA CDMP, PMP). Ability to manage multiple projects at once and meet tight deadlines. Proactive mindset with a focus on continuous improvement and innovation. Experience in a multinational or matrix organization. What We Offer Competitive salary and benefits package; Opportunity to shape the global footprint of a fast-growing terminal operator; High-impact leadership role in a dynamic, global, and collaborative organization.

Core Responsibilities

Lead the analytics function and manage the data foundation for a global network of container terminals, delivering insights, performance reporting, forecasting, and predictive models. Own data governance, platforms, integrations, and analytics strategy while leading the team and partnering with terminal and corporate stakeholders to improve operational and business decisions.

Requirements

Requires a bachelor's degree in a relevant field and 10+ years of experience in analytics, business intelligence, or database management, including at least four years leading teams; a master's degree is preferred. Candidates should have advanced SQL, Python or R, BI and cloud data platform expertise, and experience with data warehouses or lakes, governance, ETL/ELT, and predictive modeling or machine learning.

Benefits

• Competitive Salary
• Benefits Package