Data & Analytics Lead — Tech Solutions & Business Partner

asia pacific breweries (singapore) pte ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

asia pacific breweries (singapore) pte ltd is seeking a Data & Analytics Lead to drive data usage, analytics and technology across the organization. You will bridge business stakeholders, external vendors and regional tech teams to translate needs into scalable data solutions.

The ideal candidate combines strong technical fundamentals in data with stakeholder engagement, problem-solving and ownership capabilities, and may work with vendors to design and deliver analytics solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, Business Analytics or related field, or equivalent experience.
• 3–5 years of experience in a technical Data Analytics, BI, Analytics Engineering or related role.
• Hands-on experience with data, analytics tools or technical solutions.
• Experience engaging business stakeholders and translating problems into practical technology solutions.

Responsibilities

• Partner with business functions to understand priorities and challenges; translate into data and analytics solutions.
• Apply SQL, Python, BI tools and data platforms to evaluate approaches and designs.
• Collaborate with vendors and regional teams on architectures, security and deployment.
• Develop smaller dashboards, reports or automations where capacity allows.
• Promote data quality, governance and self-service analytics.

Skills

Stakeholder engagement

Problem solving

Data storytelling

Business analytics

Communication

Education

Bachelor's degree in CS/IS/Data Science/Engineering

Tools

SQL

Python

Power BI

Data modelling

ETL/ELT

Job description

asia pacific breweries (singapore) pte ltd is seeking a Data & Analytics Lead to drive data usage, analytics and technology across the organization. You will bridge business stakeholders, external vendors and regional tech teams to translate needs into scalable data solutions.

The ideal candidate combines strong technical fundamentals in data with stakeholder engagement, problem-solving and ownership capabilities, and may work with vendors to design and deliver analytics solutions.