Key Accountabilities
Business Intelligence & Power BI (approximately 70%)
- Design, develop, enhance, and maintain interactive dashboards, reports, KPIs, and data visualizations primarily using Microsoft Power BI.
- Develop and optimize data models, DAX measures, Power Query transformations, and semantic models to support scalable and high-performing BI solutions.
- Translate business and operational requirements into effective dashboard designs and analytical solutions.
- Manage the end-to-end BI development lifecycle, including requirement gathering, development, testing, deployment, enhancement, and ongoing maintenance.
- Optimize dashboard performance and troubleshoot data, model, and visualization issues.
- Develop standardized KPI definitions and reporting methodologies across hospitals and corporate functions.
- Conduct training and engagement sessions with end-users to improve dashboard adoption and effective use of data.
- Work closely with business stakeholders to translate analytical findings into actionable insights and operational improvement opportunities.
- Build familiarity with Databricks AI/BI and related capabilities, and support the potential migration or redevelopment of BI solutions on Databricks
Data Analytics & Data Pipeline (approximately 30%)
- Perform exploratory, ad-hoc, and deep-dive data analysis to identify trends, root causes, and business opportunities.
- Extract, transform, and analyse structured and semi-structured datasets using SQL and other analytical tools.
- Support development and maintenance of scalable data pipelines, ETL/ELT processes, and enterprise data platforms using Databricks and Apache Spark.
- Assist in data discovery, integration, and provisioning into enterprise data warehouse environments to support analytics and AI use cases.
- Work with IT and data teams to ensure reliable data flow from source systems into enterprise data platforms and BI solutions.
Process, Governance & Stakeholder Management
- Ensure compliance with data governance, AI governance, security, and responsible AI standards.
- Maintain documentation for data, models, prompts, and reporting solutions.
- Collaborate with cross-functional stakeholders to drive successful implementation of AI, analytics, and BI initiatives.
Qualifications & Experience
- Degree in Computer Science, Information Technology, or related field more than 5 years of relevant experience.
- Strong hands-on Power BI development experience is essential.
- Demonstrated experience developing enterprise dashboards from business requirement gathering through deployment and maintenance.
- Strong proficiency in SQL and experience with data modelling and data transformation.
- Experience with data pipelines, ETL/ELT, and enterprise data platforms is preferred.
- Experience or strong familiarity with Databricks, Microsoft Fabric, Azure, or similar modern data platforms is a significant advantage.
- Experience working with structured and semi-structured datasets.
- Experience in healthcare or service industry is an advantage.
Skills and Knowledge
Power BI / Business Intelligence
- Advanced hands-on experience with Microsoft Power BI is essential.
- Strong proficiency in DAX, Power Query, data modelling, semantic models, dashboard design, and performance optimization.
- Strong understanding of BI architecture and dashboard development best practices.
- Experience developing and maintaining enterprise-level dashboards used by multiple business functions or user groups.
- Ability to translate complex business requirements into intuitive and actionable dashboards.
Data Analytics
- Strong proficiency in SQL and experience working with large and complex datasets.
- Strong analytical and problem-solving skills with the ability to translate data into actionable business insights.
- Experience in exploratory analysis, root-cause analysis, KPI development, and data storytelling.
Data Engineering & Data Platform
- Good understanding of ETL/ELT pipelines, data integration, data warehousing, and dimensional modelling.
- Experience or strong familiarity with Databricks, Microsoft Fabric, Azure Data Factory, or similar modern data platforms is a significant advantage.
- Interest and ability to develop capabilities in Databricks AI/BI and support future BI platform transition as the organization evolves its data architecture.
- Understanding of data quality, data validation, and data governance principles.
