Key Responsibilities:

1. Dashboard Development & Business Intelligence:

• Gather and analyse stakeholder requirements for new dashboard development and business insights

• Understand the business requirements and propose the suitable solution by analysing suitable services that can facilitate the requirements as a whole.

• Design and develop additional dashboards and analytical workflows supporting business decision-making

• Collect, clean, and transform data from various sources to support new analytical requirements

• Collaborate with stakeholders to iteratively develop and refine dashboard solutions

• Create user-friendly interfaces and visualisations enhancing business workflow efficiency

2. Data Analysis & Future Scaling Support:

• Ensure dashboard performance optimisation and user accessibility

• Provide ongoing support and enhancements based on user feedback

• Support data validation and quality assurance during migration process

• Assist with preparation for Phase 3 scaling initiatives for statutory boards

• Support customisation of scripts and dashboards for different organisational contexts

Required Skills:

1. Strong experience in business intelligence and dashboard development

2. Data Visualisation and Analytics

• Strong background in Tableau and QuickSight dashboard development and performance optimisation

• Experience with ETL processes and data pipeline design

• Experience designing intuitive user interfaces and data storytelling through visualisations

• Knowledge of data visualisation best practices and user experience principles

3. AWS Analytics and AI Services

• Knowledge in AWS analytics services (SageMaker, QuickSight, Athena, Lambda)

• Knowledge in using AWS services through Python SDK and Command Line Interface (CLI)

• Experience with serverless data processing workflows and Lambda functions for data transformation

• Understanding of AWS data lake architecture and analytics pipelines

4. Data Management and Processing

• Strong expertise in data analysis, cleaning, and transformation processes

• Strong expertise in data analysis, cleaning, and transformation processes

• Proficiency in SQL for complex data queries and analysis

• Knowledge of data quality assessment and validation techniques

5. Data Governance and Architecture

• Ability to guide users in developing data taxonomy and classification frameworks

• Experience in establishing data naming conventions and metadata standards

• Knowledge of data governance principles for scalable analytics platforms

• Skills in designing data models that support future analytical requirements

6. Stakeholder Management and Business Acumen

• Experience in stakeholder engagement and business requirements gathering

• Ability to conduct user interviews and translate business needs into technical solutions

• Understanding of HR business processes and workflows (preferred)

• Experience in change management and user adoption strategies

7. Communication and Collaboration

• Strong communication skills for working with non-technical stakeholders

• Ability to present complex data insights in clear, actionable formats. Experience in training end-users and creating documentation

• Ability to adapt solutions for different organisational requirements and contexts

8. Certification

• Microsoft Certified: Power BI Data Analyst Associate

• Tableau Desktop Specialist

• AWS Certified Data Analytics - Specialty

• Google Business Intelligence Certificate

• SAS Certified Specialist: Visual Business Analytics

9. At least 5 years of professional experience