Data & AI Analyst

Sembcorp is a leading energy and urban solutions provider headquartered in Singapore. Led by its purpose to drive energy transition, Sembcorp delivers sustainable energy solutions and urban developments by leveraging its sector expertise and global track record.

nPlay a role in advancing Asia’s energy transition! As a leading renewable energy player, Sembcorp is driving sustainable change, with a growing portfolio of renewables and energy storage solutions across Southeast Asia, China, India, the UK, and the Middle East. Our Renewable Energy segment leverages strong execution and development capabilities to power a cleaner future

e The Data & AI Analyst role is positioned to tap on the vast amounts of data available to better guide the organisation in optimising its operational and business processes. The role will reside within the Digital Integration & Business Processes Unit and will work on cross-functional project

s.Someone without experience is welcome. Candidates will be expected to share about projects previously delivere

• iesWork with stakeholders to propose, develop and maintain automated data collection systems and pipelines across reporting lin
• es.
  
  Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentatio
• ns.
  
  Assist to identify and solve complex business problems by interpreting data trends and patter
• ns.
  
  Develop statistical models and forecasts to support business planni
• ng.
  
  Integrate and leverage AI where relevant to extract and interpret actionable business insigh
• ts.
  
  Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and operational efficien

• nce Bachelor’s degree in a quantitative field such as Data Science, Business Analytics, Statistics, Mathematics, Computer Science, Engineering, Economics, or related fie
• lds.
  
  Demonstrable experience with data visualization tools like Power BI, Tableau, or matplotlib/seaborn in Pyt
• hon.
  
  Experience in data cleaning, transformation, and integrat
• ion.
  
  Experience working in cross-functional teams and collaborating with stakeholders from different departme
• nts.
  
  Proficiency in analysing large datasets to extract meaningful insights with Python, Excel and/or
• SQL Proficiency in analysing large datasets to extract meaningful insights with Excel, Python and/or
• SQL Experience with Power Query and Power Automate can be advantag
• eous Knowledge of database system and data-warehousing concepts can be advantage
• ous.
  
  Knowledge of Machine Learning and Artificial Intelligence concepts can be advantage
• stics
  
  Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techni
• ques.
  
  Ability to use statistical methods and tools to interpret data and solve analytical prob
• lems.
  
  Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakehol
• ders.
  
  Capability to identify problems and develop creative solutions using data-driven techni
• ques.
  
  Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audie
• nces.
  
  Thoroughness in data analysis and ensuring data quality and accuracy in findings and rep

mbcorp

At Sembcorp, our culture is shaped by a strong set of shared behaviours that guide the way we work and uphold our commitment to driving the energy trans

ition.

We foster an institution-first mindset, where the success of Sembcorp takes precedence over individual interests. Collaboration is at the heart of what we do, as we work seamlessly across markets, businesses, and functions to achieve our goals together. Accountability is a core principle, ensuring that we take ownership of our commitments and deliver on them with integrity and excellence. These values define who we are and create a workplace where our people can thrive while making a meaningful impact on driving energy trans