We are seeking an experienced Manager to lead our Analytics team in Asia, responsible for developing and implementing analytics solutions to drive business insights and decision-making for Hapag-Lloyd. As a key member of the Automation & Analytics team, you will oversee the development and implementation of BI solutions using Qlik Sense and Databricks, and work closely with stakeholders to identify business requirements and develop analytics solutions to meet their needs.
Function and duties
Lead the development and implementation of BI solutions using Qlik Sense and Databricks
Guide and coach QlikSense developers in the region to ensure best practices and standards are followed
Collaborate with regional stakeholders, including Regional Management, Area Management, and Super Users, to identify business requirements and develop analytics solutions to meet their needs
Act as a Data Scientist for the region, supporting the business with Business Intelligence and analytics
Develop and maintain a deep understanding of the shipping industry and Hapag-Lloyd's business operations to support with analytics solutions
Provide technical guidance and expertise to the team on Qlik Sense and Databricks, including data modeling, data visualization, and data storytelling
Ensure data quality, integrity, and security in all analytics solutions
Develop and manage project plans, timelines, and resource allocation for analytics projects
Collaborate with the Automation team to ensure alignment and integration of analytics solutions with automation initiatives
Stay up-to-date with industry trends and emerging technologies in analytics and data science, and apply this knowledge to improve analytics solutions
Utilize Databricks to develop and deploy big data analytics solutions, including data engineering, data processing, and data science workloads
Leverage data analytics tools, such as SQL, Python, and data visualization tools, to extract insights and drive business decisions
Requirements
Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, or related field)
At least 5 years of experience in analytics, data science, or a related field, with a focus on developing and implementing analytics solutions
Proven experience with Qlik Sense, including data modeling, data visualization, and data storytelling
Experience with big data technologies, such as Databricks.
Strong SQL skills and experience with databases (e.g., MySQL, Oracle, SQL Server)
Programming skills in Python, with experience with libraries such as Pandas, NumPy, and Matplotlib
Experience with data visualization tools and techniques, including data storytelling and insights generation
Strong understanding of data modeling, data warehousing, and ETL processes
Experience in a leadership role, with a strong ability to manage and motivate a team
Strong communication, interpersonal, and project management skills
Ability to work in a fast-paced environment and prioritize multiple projects and tasks
Understanding of the shipping industry or experience working in a related field (desirable)
Advantageous skillsets
Experience with cloud-based data platforms, such as AWS or Azure
Knowledge of machine learning algorithms and experience with machine learning libraries (e.g., scikit-learn, TensorFlow)
Experience with data governance, data quality, and data security
Certification in analytics or data science (e.g., Certified Data Scientist, Certified Analytics Professional)
Familiarity with Alteryx or similar data preparation and analytics tools