Business Intelligence Developer & Dashboard Specialist

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