Data & AI Consultant

We are looking for dynamic Data & AI Consultants (with 3-5 years of relevant experience) to join our Singapore team. This role is ideal for individuals experienced with large and complex datasets, SQL, and Power BI, and who thrive in fast-paced consulting environments.

You can expect to bring consulting experience to:

Support Data & Analytics Solutions:

• Work with large, complex datasets across multiple sources (e.g., ERP, CRM, APIs, flat files).
• Develop advanced SQL queries to support data extraction, validation, and performance optimisation.
• Operationalise data solutions by scheduling and monitoring pipelines, managing data quality, and ensuring lineage and governance.
• Build Microsoft Fabric data assets, including semantic models, Data Warehouse objects, Data pipelines, Dataflows, Notebooks, and external connectors.
• Adapt quickly to different tools and technologies while working across varied system landscapes.
• Apply cross-technology understanding to support data solution design.

Contribute to Client Digital Transformation:

• Translate raw data into governed, analytics-ready structures with consistent business logic.
• Design interactive dashboards and reports using Power BI connected to Fabric semantic models.
• Support requirements gathering, workshop preparation, validation activities, and post-go-live enhancement work.

Engage with Stakeholders:

• Collaborate with client users and internal teams to clarify requirements, validate data, resolve issues, and propose solutions.
• Work effectively in consulting environments and cross-functional project teams to ensure smooth solution delivery.

Contribute to Building the Organization:

• Take ownership of tasks and follow through with resolution or escalation.
• Champion internal initiatives that align with our growth ambitions, and be an advocate for business excellence and continuous improvement.

These experiences are not required, but are an advantage to have:

• Strong at breaking down complex technical concepts into simple, user-friendly explanations for non-technical audiences.
• Background in ERP or enterprise systems.
• Microsoft certifications (Fabric, Power BI, Azure Data Engineer) or general analytics exposure.