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

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