Manager, Operations (Data Analytics)

ESL Group seeks an experienced professional to join our organization as the Manager Operations, Data Analytics. This key role will drive strategy, oversight, and management of our data and analytics initiatives. This is a pivotal role in driving a company-wide transformation, partnering with key stakeholders. The ideal candidate will have a background in the carrier or shipping line industry, with a deep understanding of their unique data and analytics needs.

Responsibilities:

• Develop and implement a comprehensive data and analytics strategy aligned with the overall business objectives to drive data literacy and data-driven decision-making across the organization.
• Collaborate with cross-functional teams to identify and define key performance indicators (KPIs) and metrics that align with the business goals and support data-driven decision-making.
• Ensure data accuracy, integrity, and security throughout the organization by implementing robust data governance and management practices.
• Identify opportunities to leverage advanced analytics techniques, such as predictive modelling and AI, to derive insights, improve operational efficiency, and enhance service offerings.
• Stay current with industry trends, technologies, and best practices in data and analytics and apply them to drive innovation and continuous improvement.
• Develop strong relationships with internal stakeholders, including senior leadership, to understand their requirements, provide analytics solutions, and communicate insights effectively.
• Track and report on key performance metrics related to data and analytics initiatives and present findings, trends, and recommendations to the executive team.

Requirements:

• Tools Smart forecasting partners and ESL s volumes using algorithms based on historical volumes and on the books data.
• Deploying AI/optimization Researching, sourcing and implementing new tools that enhance visibility and decision making, prepare data landscape to take ESL s offerings online
• Source all options of external data including known sources on volumes (Eg: CTS, RITAS) and price (Xeneta, CCFI,SCFI). Similarly, also look for ways to build a lead indicator of demand and supply using data from eSea, commodity prices, supply data and others like PMI.
• Setup data connections and key metrics like booking uptake as well as assist with automation of tasks and reporting

• Bachelor s degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline. A master s degree or higher is preferred a minimum of 8 years of progressive experience in data and analytics.
• A background in the carrier or maritime industry, with an understanding of its challenges is preferred but not mandatory.
•