Job Description

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

Skills Required