OVERVIEW

We are seeking a Senior Business Intelligence (BI) and Analytics Developer to join our Embedded Analytics & Engineering team, as we expand into the Singaporean market.
In this role, you will be embedded full-time with one of our key clients on a long-term engagement, working as part of an Agile product team alongside product owners, data engineers, data scientists, and business stakeholders.
You will own the end-to-end delivery of BI solutions on the vizualization side - from shaping curated datasets in the gold/semantic layer with SQL, through to designing and deploying Power BI semantic models, reports, and dashboards, and guiding business users on best practices for adoption.

QUALIFICATIONS & SKILLS

• Bachelor’s degree in a STEM field, Computer Science, Information Systems, Data Analytics, or related field.
• 5~8 years of professional experience in BI/analytics, with a strong emphasis on Power BI.
• Expert-level proficiency in DAX, Power Query (M), and semantic data modeling.
• Understanding of data modeling (star schema, dimensional modeling) and performance optimization.
• Solid SQL skills (any modern data warehouse or query engine).
• Familiarity with Agile delivery frameworks and cross-functional product squads.
• Excellent communication skills, with the ability to bridge technical and business discussions in a client-facing environment.
• Nice to have — Experience with Databricks, Synapse, Athena, BigQuery, or similar cloud platforms. Familiarity with Databricks BI, Tableau, Streamlit or similar BI platforms.

• Collaborate within Agile product teams to define, prioritize, and iteratively deliver BI features that create measurable business value.
• Design, develop, and optimize Power BI dashboards, reports, and semantic data models (DAX, Power Query).
• Build and refine SQL-based curated datasets/views that form the gold/semantic layer for analytics and reporting.
• Partner with stakeholders and product owners to translate business requirements into BI deliverables and stories.
• Provide advisory and best-practice guidance on Power BI usage, data modeling, and dashboard adoption.
• Troubleshoot issues with data refresh, performance, and usability across the BI and semantic layer.
• Mentor junior BI developers and analysts, ensuring quality and consistency.