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Beam Mobility in Malaysia is seeking a senior analytics professional to transform complex data into strategic insights. You will partner with Engineering and Operations to build scalable reporting and experimentation frameworks that drive rider growth and operational excellence.
You will collect and analyze large datasets, conduct funnel analyses, design AI-enabled analytics workflows, and mentor junior analysts as the team grows.
At Beam Mobility, we believe short trips shouldn't mean car trips. As part of Neuron Mobility Holdings — the Asia-Pacific's leading shared micromobility operator - we partner with cities across Australia, South Korea, Malaysia, Indonesia, Turkey, and Canada to make clean, affordable, and accessible transport a reality for millions of people.
We are operating in one of the world's fastest-growing industries. Every day, we tackle real urban challenges: congestion, emissions, and the last-mile problem that public transport alone can't solve.
What drives us is more than technology - it's purpose. We are a diverse group of innovators, operators, and problem solvers united by a commitment to making cities better and the planet healthier.
About the role
You will transform complex user, operational and product data into actionable insights that influence business strategy across our regions. Working closely with Engineering and Operational leaders, you will develop scalable reporting, analytical models and experimentation frameworks that drive rider growth, operational excellence and product innovation.
Key Responsibilities:
Business & Product Analytics – Collect, clean and analyse large datasets to identify trends across rider behaviour, product performance, operational efficiency and market performance.
User & Growth Analytics – Conduct deep-dive analyses on user journeys, conversion funnels, retention and engagement to identify opportunities for growth.
Experimentation – Design, execute and evaluate A/B tests and other experiments to measure the impact of new features and operational initiatives.
Reporting & KPI Ownership – Develop and maintain scalable dashboards, reports and KPI frameworks that enable data-driven decision making across the business.
Strategic Insights – Identify trends, risks and opportunities, providing proactive recommendations that influence business priorities and product strategy.
Support the development of analytics capabilities through mentoring junior analysts and contributing to best practices, with future responsibility for direct people leadership as the team grows.
AI & Analytics Innovation – Evaluate and leverage AI-powered tools to improve analytical workflows, automate repetitive tasks, accelerate insight generation, and enhance decision-making across the business.
Skills, Qualifications & Requirements:
Experience: Minimum 5 to 8 years of analytics experience in a fast-paced technology, marketplace, mobility or consumer internet company.
Technical Expertise: Advanced SQL capability (complex joins, CTEs, window functions and query optimisation), with experience working in cloud data warehouses such as BigQuery.
Data Visualization: Expertise in modern BI tools (e.g., Looker, Redash, or Looker Studio).
Scripting & Stats: Experience using Python or R for data analysis, automation and statistical modelling.
Communication & Drive: Proven ability to manage stakeholder expectations, prioritize high-impact analytical requests, and explain technical outputs to non-technical partners.