Job Title: Data Analyst

Location:

Bandar Seri Begawan , Brunei-M, Brunei Darussalam

Notice

Closing Date: Tuesday, 06 October 2026
Please submit a PDF copy of your CV, IC, Academic and Professional Certificate(s)
Only shortlisted candidates will be notified

Job Description

The Data Analyst supports the delivery of dashboards, reports, data analysis and business insights that enable operational monitoring and informed decision-making across the organisation. The role works with business stakeholders to understand reporting and analytical requirements, prepares and validates data, performs routine exploratory and performance analysis and communicates findings through clear visualisations, reports and analytical summaries. The role also uses analytical datasets and platform services provided by Data Engineering and supports continuous improvement in analytical quality, documentation, dashboard usability and self-service analytics adoption.

Responsibilities and Tasks

Data Analysis and Business Support:

- Gathers and clarifies reporting, analytical and information requirements with business stakeholders
- Translates defined business questions into appropriate data analysis, measures and analytical outputs
- Performs descriptive, comparative and exploratory analysis using approved analytical datasets
- Analyses operational performance, trends, patterns, variances and recurring issues
- Supports business units in interpreting data and identifying areas requiring further investigation
- Escalates complex analytical questions, conflicting requirements or limitations to the Manager or relevant specialist
- Ensures analytical conclusions are supported by available evidence and communicated with appropriate context
Dashboard and Reporting Development:

- Develops and maintains dashboards, reports and data visualisations supporting operational and management information needs
- Applies established dashboard-design, reporting and visualisation practices
- Configures calculations, filters, parameters and presentation elements according to agreed requirements
- Tests dashboards and reports for calculation accuracy, data consistency, usability and expected behaviour
- Publishes and updates analytical content using approved BI platform functions and processes
- Works with users to improve dashboard usability, interpretation and practical application
- Reviews existing reports and dashboards to identify outdated content, duplication and improvement opportunities
Data Preparation, Validation and Quality Checks:

- Prepare, clean, structure and transform data for defined analytical tasks using approved tools and methods
- Perform routine checks for completeness, accuracy, consistency, duplication and unexpected values
- Reconcile analytical results against available source information or established references
- Document identified data issues and coordinate clarification with Data Engineering, system owners or business stakeholders
- Distinguish between data-source issues, transformation issues and analytical-calculation issues
- Maintain clear records of data preparation, calculation logic, assumptions and known limitations
- Use only approved and appropriately accessed organisational data for analytical work
Performance Analysis and Insight Communication:

- Conduct routine trend, variance, comparison and performance analysis
- Prepare clear analytical summaries explaining relevant findings, changes and patterns
- Translate analytical results into practical observations and potential follow-up questions
- Develop charts, presentations and written summaries appropriate for technical and non-technical audiences
- Clearly distinguish data-supported findings from assumptions or preliminary interpretation
- Communicate limitations, data gaps and uncertainty affecting the analysis
- Support the Manager and Data Scientist in preparing management-level analytical outputs
Stakeholder and Self-Service Analytics Support:

- Provide routine guidance to users on dashboards, reports, filters, data interpretation and self-service analytics tools
- Support requirement discussions, user testing and feedback collection
- Assist users in selecting appropriate existing dashboards or reports before developing new outputs
- Prepare user guides, calculation notes, dashboard instructions and basic training materials

Competencies

Dashboarding & Data Visualisation
Performance Analytics & Trend Analysis
Data Exploration & Insight Generation
Data Quality & Integrity Management
Data Storytelling & Business Insight Communication
Statistical Modelling & Predictive Analytics
Python Programming & Scripting

Area and Years of Experience

Data analysis, reporting, business intelligence, statistical analysis or a related area with 1 year of experience
Dashboard development, data visualisation, SQL or spreadsheet-based analysis with no working experience required (working experience would be an advantage)
Python, statistical tools or analytical programming with no working experience required (working experience would be an advantage)
Business requirement gathering, reporting support or stakeholder coordination with no working experience required (working experience would be an advantage)

Education

Bachelor's Degree in Data Science, Business Analytics, Statistics, Mathematics, Economics, Computer Science, Information Systems, Operational Research or relevant areas and equivalent working experience.