AI-Powered Data & Business Analyst (Remote)

OneBullEx

Malaysia

Remote

MYR 90,000 - 150,000

Full time

14 days+

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Job summary

OneBullEx in Malaysia is seeking a Data & Business Analyst (Alibaba Cloud Stack) to bridge business operations and data engineering. You will gather, document, and translate requirements into technical specs for the Data Engineering team — leveraging AI-assisted development to rapidly build complete dashboards and custom reports in Grafana and QuickBI.

You will work with Product Managers, Data Engineers, UX/UI Designers, and QA teams to ensure solution delivery, while supporting UAT and

Qualifications

Fluent bilingual in English and Chinese, spoken and written for seamless collaboration with regional stakeholders.
Strong hands-on experience with Alibaba Cloud, Grafana, QuickBI, and building custom business reports.
Demonstrated ability to use AI-enabled tools and code-driven workflows to rapidly generate dashboards and scale reporting templates.
Deep understanding of APIs, data warehouse terms (DWD, DWS, ADS, ODS), data integration concepts, and BPM/Workflow Solutions.
Proven track record producing BRDs, FRDs, use cases, process maps, sequence diagrams, scope documents, and UAT plans.

Responsibilities

Partner with business stakeholders to gather, analyse, validate, and document business, functional, and technical requirements.
Translate complex business requirements into user stories, acceptance criteria, process flows, and functional specifications for the Data Engineering team.
Produce and maintain key project documentation, including BRDs, FRDs, use cases, process maps, sequence diagrams, scope documents, and UAT plans.
Support project planning by tracking milestones, maintaining issue logs, monitoring progress, and ensuring documentation remains strictly up to date.
Work closely with Product Managers, Data Engineers, UX/UI Designers, and QA teams throughout the product lifecycle to ensure successful solution delivery.
Facilitate workshops, stakeholder meetings, and requirements-gathering sessions to align business objectives with backend technical solutions.
Collaborate with QA teams during testing cycles and actively support User Acceptance Testing (UAT) to ensure solutions meet exact business requirements.
Identify project risks, issues, and dependencies, escalating them proactively to support on-time project delivery.
Analyse existing business processes to identify concrete opportunities for automation, optimisation, and continuous operational improvement.
Evaluate operational, financial, and technology-related risks, providing actionable recommendations to mitigate potential issues.
Support the creation of wireframes, prototypes, process diagrams, and workflow documentation to clearly communicate business logic.
Monitor product performance post-implementation, gather user feedback, and recommend enhancements to improve customer experience and internal adoption.