Business Intelligence Engineer

XCELLINK PTE. LTD.; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

XCELLINK PTE. LTD. in Singapore seeks a Data Engineer/BI professional to translate business needs into data specifications, design ETL logic, and build dashboards for reporting and analytics. You will collaborate with business units, data engineers, and the data platform team to deliver reliable datasets and insightful visuals.

You’ll work with Tableau and AWS Redshift/S3, apply data quality checks, and contribute to data governance while enabling self-service analytics across the organisation.

Qualifications

• Minimum 3 years of experience in a data engineering, BI, or data analyst role.
• Proficiency in SQL for data querying, transformation, and modelling.
• Hands-on experience with Tableau or equivalent BI tools for dashboard development.
• Experience with cloud data platforms (AWS preferred - Amazon Redshift, S3, AWS Glue).
• Strong stakeholder engagement and communication skills, with the ability to translate business needs into technical requirements.
• Experience in data modelling for analytics (star schema, dimensional modelling).

Responsibilities

• Partner with business units to understand data and reporting needs.
• Facilitate requirements workshops and interviews to document data requirements, KPIs, and reporting use cases.
• Translate business requirements into clear data specifications for the data engineering team.
• Act as the primary liaison between business stakeholders and the technical data platform team.
• Design and develop data transformation logic to prepare curated datasets for reporting and analytics.
• Build and maintain data models in Amazon Redshift or the data lake zone.
• Ensure data accuracy, consistency, and completeness for reporting datasets.
• Apply data quality checks and validation rules to support trustworthy insights.
• Design, develop, and maintain interactive dashboards and reports in Tableau (connected to Redshift/S3).
• Create near-real-time dashboards, ad-hoc analysis views, and scheduled reports tailored to business unit needs.
• Ensure dashboards are intuitive and accessible for non-technical users.
• Iterate on dashboard designs based on user feedback and evolving requirements.
• Document data definitions, business glossary terms, and dashboard logic in the AWS Glue Data Catalogue.
• Maintain documentation of data sources, transformation logic, and report specifications.
• Support self-service analytics by enabling business users to discover and access data independently.

Skills

SQL

Tableau

Stakeholder engagement

Data modelling

Dashboard development

Python (basic)

Tools

Amazon Redshift

S3

AWS Glue

Power BI

Job description

Key Responsibilities

Requirements Gathering & Stakeholder Engagement

• Partner with business units across the organization to understand their data and reporting needs
• Facilitate requirements workshops and interviews to document data requirements, KPIs, and reporting use cases
• Translate business requirements into clear data specifications for the data engineering team
• Act as the primary liaison between business stakeholders and the technical data platform team

Data Transformation & Modelling

• Design and develop data transformation logic to prepare curated datasets for reporting and analytics consumption
• Build and maintain data models in Amazon Redshift or the curated/consumption zone of the Data Lake
• Ensure data accuracy, consistency, and completeness for all reporting datasets
• Apply data quality checks and validation rules to support trustworthy business insights

Dashboard & Visualisation Development

• Design, develop, and maintain interactive dashboards and reports in Tableau (connected via Amazon Redshift or S3)
• Create near-real-time operational dashboards, ad-hoc analysis views, and scheduled reports tailored to business unit needs
• Ensure dashboards are intuitive and accessible for non-technical end users
• Iterate on dashboard designs based on user feedback and evolving business requirements

Data Catalogue & Documentation

• Document data definitions, business glossary terms, and dashboard logic in the AWS Glue Data Catalogue
• Maintain clear documentation of data sources, transformation logic, and report specifications
• Support self-service analytics by enabling business users to discover and access data independently

Requirements

Essential

• Minimum 3 years of experience in a data engineering, business intelligence, or data analyst role
• Proficiency in SQL for data querying, transformation, and modelling
• Hands‑on experience with Tableau or equivalent BI tools (Power BI, QuickSight) for dashboard development
• Experience working with cloud data platforms (AWS preferred - Amazon Redshift, S3, AWS Glue)
• Strong stakeholder engagement and communication skills, with the ability to translate business needs into technical requirements
• Experience in data modelling for analytics (star schema, dimensional modelling)

Preferred

• Familiarity with Python for data transformation and automation
• Experience with AWS Glue Data Catalogue or similar metadata management tools
• Exposure to Salesforce or other SaaS data sources
• Prior experience working in a government, or public sector environment
• Understanding of data governance and data quality principles