Create compelling dashboards using Google Data Studio, and translate complex technical concepts into strategic insights for business partners.
Bachelor’s Degree or Postgraduate qualification in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
2 to 5 years of relevant working experience developing, training, evaluating, and deploying machine learning models in production commercial environments....
Collaborate with commercial and cross-functional leadership to define KPIs, measure performance metrics, and align analytical deliverables with key corporate goals.
Identify opportunities to automate routine reporting and partner with Data Engineering and IT teams to refine data warehouse architectures and storage models.
Promote internal data quality assurance standards, documentation, and governance frameworks....
You will design data specifications for new products, ensuring accurate data collection.
You will launch A/B and timeslice experiments, analyse results, and provide relevant recommendations.
You will conduct targeted analysis for specific products and operations, to find new business/product opportunities, define critical business metrics, and track them rigorously....
Data Governance & Quality: Implement data quality monitoring frameworks, enforce privacy compliance (PDPA), and maintain data lifecycle policies including retention and archiving.
Cross-Functional Collaboration: Support Business Analytics and Data Science teams by disseminating clean, high-quality datasets and delivering automated downstream reporting extracts.
2 to 5 years of experience in data engineering, custom Python ETL scripting, scalable pipeline orchestration, and cloud infrastructure management....
We are looking for an experienced Senior Data Analyst with a strong analytical and business mindset to transform complex data into meaningful insights and actionable recommendations. The successful candidate will work closely with management and business stakeholders to identify performance trends, risks, opportunities and underlying business drivers, and translate findings into clear decision support for senior management.
Responsibilities:
• Analyse operational, customer, workforce and business data to identify trends, performance gaps, risks and opportunities....
Lead in the planning and administration of audit and DA assignments to achieve the objectives.
Analyse and identify key risks and develop appropriate audit programmes and tests for review and approval.
Conduct preliminary assessment of auditable areas; interview appropriate personnel; determine data requirement; accumulate, verify and analyse available data; observe actual practices and evaluate operational function....
The Project Engineer supports technical and facility improvements that enhance equipment reliability, utility efficiency, compliance and readiness for future scalibility. This includes developing a continuous pipeline of initiatives based on operational performance, asset lifecycle, capacity requirements and business growth.
As part of the Project Management Office, the Project Engineer works closely with Maintenance, Production, QA, ESH, Warehouse, Purchasing and external technical parties to coordinate engineering studies and projects from initial assessment through implementation, commissioning and performance review....
If you enjoy turning complex data into clear insights, challenging assumptions, and helping leadership make better business decisions, this could be your next opportunity.
What You’ll Do
• Analyse operational, customer, workforce & business data...