Drive commercial KPIs across Southeast Asia by analyzing performance metrics, delivering insights to senior leadership, guiding sales teams to opportunities, supporting commercial rollouts and ad-hoc campaigns, and collaborating with stakeholders.
To drive the high level of commercial initiatives and KPI deliverables in Area.
ResponsibilitiesDrive performance for Commercial KPI deliverables in Area South East Asia
Provide in-depth analysis and insights to senior leadership in ASE and stakeholders
Analyze various KPIs and guide sales organization to identify opportunities to achieve target
Support and / or implement the commercial project rollout or ad hoc commercial campaigns
Particulate in regular collaborating calls with stakeholders
- Bachelor's Degree in Business, Economics, Finance, Data Analytics, Logistics, or related disciplines.
- Experience in Commercial, Business Analytics, Business Controlling, Sales Performance, Reporting, or related functions.
- Internal analytical system(QV, Qliksens or etc) and decent level of MS office skill
- Excellent and effective communication skills – verbal and written in English
- Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into meaningful business insights.
- Experience with reporting and visualization tools such as Qlik Sense, QlikView, Power BI, Tableau, or similar platforms.
- Proficient in Microsoft Excel and PowerPoint.
- Strong written and verbal communication skills in English.
- Ability to work independently, manage multiple priorities, and collaborate effectively with various stakeholders.
Similar Jobs
Manufacturing
Lead the design and deployment of scalable, automated cloud solutions, focusing on Microsoft Azure PaaS offerings, AI integration, and DevOps practices. Engage with stakeholders to align technical solutions with business goals and ensure security and governance compliance.
Top Skills:
AWSAzure Cognitive ServicesAzure DevopsAzure Logic AppsGCPGithub ActionsMicrosoft 365AzureOciOpenaiPaasPower AutomateTerraform
Cloud • Software
Provide deep technical post-sale support for NetBox customers: onboard, diagnose and resolve issues across installations, integrations, and upgrades; participate in architecture reviews; meet SLAs; surface product feedback; create runbooks and reduce repeat escalations.
Top Skills:
AmqpAws SnsCsvDcimDjangoDockerDocker ComposeGitGitlabGrafanaIpamJSONKafkaKubectlKubernetesLinuxMqttNetboxOauthOidcOpentelemetryPipPostgresPrometheusPythonRest ApisSAMLShell ScriptingSQLSsh
Fintech • Machine Learning • Software • Financial Services
The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.
Top Skills:
BashFiber OpticsLinuxNetwork CablingNetwork DevicesPythonServer HardwareStorage Systems
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


.png)