Analyst CC & AP

Job Description

Maersk is well established as the world s largest operator of container shipping and marine container terminals, with over 80,000 employees and operating in 130 countries worldwide.We are rapidly transforming ourselves into the world s leading global integrator of container logistics by building on our traditional strengths and creating synergies and simplifying global supply chains for our customers across ocean, terminals and logistics & services.Technology and data are critical enablers of this digital transformation, as we seek to digitally enable and connect our physical supply chain assets in our terminals, our vessel fleet and inland logistics services through an ambitious agenda of standardisation, automation and loT enablement.In support of this strategy, we have recently restructured our global technology organisation to be based around a joint business and technology platform operating model, which embeds innovative, agile, digital and data product engineering at the heart of our business.Our strategy recognises that data is one of our key differentiators, so we have created a dedicated Global Data & Analytics organisation that will enable us to holistically mature our data & analytics capabilities by:Achieve data excellence with robust master data management: Improve our data foundations through standardised data management and data integration platforms, orchestrated through comprehensive end-to-end data governance of data policies and controls to ensure our data assets are well defined, of good quality, secure, and used effectively.Have an agile data and analytics platform: Enterprise-wide data & analytics platform to democratize data and create strong end-to-end processes & products.Offer differentiating data products for our employees, customers and partners: Data products supporting better data-driven decisions internally and supporting customers in optimizing their supply chains, through increasingly sophisticated AI, machine-learning and data science capabilities.Enable next-level self-serve capabilities: Data & analytics becomes fully embedded in business operations through data democratization and analytics-as-a-service.Attract, develop and retain top data-and-analytics talent: We need to be able to attract, develop and retain top-talent as human capital is the key part of the value-equation in data & analyticsShow More We offerThis position offers the unique opportunity to develop and apply your knowledge of Data Engineer and warehouse and application development related methods and tools to create results and insights that will accelerate the transformation of our business model, and to work with business specialists across Maersk Group. Maersk Global Data and Analytics (GDA) is committed developing world class data products and analytics for our customers. This is an extremely exciting time to join a fast paced, growing and dynamic team that solves some of the toughest problems in the industry and builds the future of trade & logistics. At A.P. Moller - Maersk we focus on the individual s development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progressShow More Key responsibilitiesAs a Data Developer with the Maersk GDA team, you will help build insights and generate actionable applications and products that caters to user needs. Your responsibilities will be to: - Experience on Microsoft Azure App Services and cloud development environment - Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements. - Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics and support design of business application - Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issuesShow More We are looking forAt least 2 years of experience in Business Intelligence and Analytics with exposure to Big Data Technologies on Azure. Key Skills: 1. Hands on Experience on Scala, SQL, Spark, HDFS, Hive. 2. Knowledge on ETL Tools 3. Experience with Relational RDBMS (Teradata would be an advantage) 4. Experience on Azure and Azure Tools like Azure Data Factory, Azure Databricks etc. Good to Have: 5. Knowledge on Python/ PySpark 6. Knowledge on SSAS 7. Knowledge on Frontend tools like MSBI, PowerBI etc. 8. Prior experience with Transportation and LogisticsShow More,

Keyskills :
big datafront endetl toolsmaster datasupply chaindata sciencehuman capitaldata managementmicrosoft azuredata governancedata integrationcontainer shippingbusiness operations