Data Analyst

**Job Type**:Full TimeAs a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world
- **_Develop Your Potential:_** We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
- **_Diverse, Equal Opportunity:_** We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
- **_Competitive Compensation & Benefits:_** We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

**Purpose**

The role’s main activities are to support Global Finance Analytics Leads and Data Project Leads in the implementation and post implementation maintenance of data analytics projects in Global Data Analytics Platform to deliver high value and actionable insights to aid stakeholders’ decision making to create value for the business.

**Reports To**

The role reports to Head of Group Finance Process & Data.

**Key collaboration partners**

Global Finance Analytics Leads and members, Data Project Leads, Group IT, Data For Excellence Data Engineers, Group Finance Process & Data, Region and Local Data and Business Analyst

Support GF Analytics Leads and GF Data Project Leads in the following areas:

- Create value through developing data analytics solutions that supports PSA’s objectives.
- Build dashboards and data models using data visualisation tools and other platform products, identify issues, give recommendations and create automated reports
- Proactively work with key internal customers to understand and deliver on their requirements.
- Collaborate with data science and data engineering team at all stages of CRISP-DM Methodology.
- Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
- Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques.
- Align to PSA data policy, data governance standards and best practices and document as required.

Support the GF Process Leads in the following areas:

- Assist in data management, governance and data quality of master data requirements including development and documentation of the processes to support the data quality.
- Identify areas for data quality improvements and help resolve data quality problems through the appropriate choice of error detection and correction, process control and improvement, or process design strategies.

**Competences & Skills Requirements**
- A good bachelor’s degree in Finance, Business Analytics, Computer Science, Statistics, Data Management, Engineering or a related field.
- Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
- Experience in one of the visualization tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services (AAS model)
- Experience in development lifecycle for data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
- Experience in DAX programming and be able to write efficient DAX queries.
- Experiences in SQL, Python or R would be added advantage.
- Experience in developing statistical models in both supervised and unsupervised machine learning techniques for a variety of data analytics problems.
- At least 2 years of experience as a data scientist or data analyst is preferred. However, fresh graduates are welcome to apply.