The Keppel Group is in the Offshore & Marine, Property, Infrastructure and Investments businesses to deliver sustainable earnings growth. With a global footprint in more than 20 countries, Keppel leverages its international network, resources and talents to grow its key businesses.

Vision A global company at the forefront of our chosen industries, shaping the future for the benefit of all our stakeholders - Sustaining Growth, Empowering Lives and Nurturing Communities. Mission Guided by our operating principles and core values, we will deliver solutions for sustainable urbanisation profitably, safely and responsibly.

With about 20,000 employees in more than 20 countries around the world, the Keppel Group leverages its international network, resources and talents to grow its key businesses. A critical success factor is aligning our global operations to produce the same high quality and standards of timely, within budget and incident-free deliveries, associated with the Keppel brand. To achieve consistent excellence, we have to communicate and motivate our people to embrace a common set of core values to form the foundation on which we perform work and conduct ourselves.

You will: - Collaborate with stakeholders and SMEs to understand problem statements - Work closely with like-minded individuals in enhancing data collection procedures - Assemble large, complex data sets that meet business requirements. - Design, build, support and optimize new and existing data models and ETL processes. - Work closely with the team to setup architectural design, infrastructure, and building data pipelines to integrate with data lakes and data mining models. - Define and manage SLA for all data processes and own data quality issues. - Apply statistical concepts to research, decipher data to provide actionable insights - Ability to perform exploratory data analysis using Excel, Microsoft Power BI, SAS, R, Python etc - Ability to understand business requirements and derive analytical solutions from data science - Structure and synthesize the discussion and ideas, make good presentation – PPT - Perform other duties and responsibilities, as assigned You should have: - Preferably with at least 4 years of relevant experience with a proven track record in applying data analytics to business - Strong data modeling, system/schema design, SQL and ETL implementation skills - Proficient in data science language like Python, R and SQL - Knowledgeable in statistics knowledge - Hands-on experience of integrating open-source big data technologies like Hive, Spark etc into traditional systems. - Hands-on experience with Oracle, MySQL and NoSQL databases - Good understanding of building a scalable system - Project management skills and commitment to performance improvement - Self-motivated and driven learner who is willing to share knowledge with the team - Strong communication skills, visualization and ability to collaborate with a diversified team are required Sounds like you? Let’s meet! Click ‘Want to Visit,’ so we can set up a time for you to meet us!