Manager, Analytics - Business Systems Department

LLOYD Shoes GmbH; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading company in the shipping industry seeks an experienced Manager to lead their Analytics team in Asia. You will be responsible for developing and implementing analytics solutions, collaborating with stakeholders, and ensuring high-quality BI solutions using tools like Qlik Sense and Databricks. This role requires strong leadership, skills in data science, and an understanding of industry dynamics.

Qualifications

• 5+ years experience in analytics, data science or related field.
• Proven experience with Qlik Sense and Databricks.
• Strong programming skills in Python and experience with SQL.

Responsibilities

• Lead the development and implementation of BI solutions using Qlik Sense and Databricks.
• Collaborate with regional stakeholders to identify business requirements.
• Ensure data quality, integrity, and security in all analytics solutions.

Skills

Data modeling

Data visualization

SQL

Python

Project management

Communication

Education

Bachelor's degree in a quantitative field

Tools

Qlik Sense

Databricks

Pandas

NumPy

Matplotlib

MySQL

Oracle

SQL Server

Job description

Main Objective

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