All jobsIT & SoftwareBusiness Intelligence
24 Business Intelligence Jobs in Singapore
The work turns raw data into dashboards and reports that guide decisions across departments and product lines.
Average salary: SGD 103,117
Average salary
SGD 103,117
across 23 jobs
- Finance Intern, CNBC International
- Versant
- Singapore, Singapore
- SGD 12,000 – SGD 18,000
- AI Consultant Lead
- NCS Group
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- AVP, Business Analyst, Technology Group
- GIC Private Limited
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Salesforce System Analyst (Graduate Hire)
- Capgemini
- Singapore, Singapore
- SGD 36,000 – SGD 45,000
- AIoT User Experience Intern
- 小米科技 Xiaomi Technology
- Singapore, Singapore
- SGD 41,600 – SGD 62,400
- SAP Consulting Analyst
- NCS Group
- Singapore, Singapore
- SGD 42,000 – SGD 54,000
- Associate Principal Cyber Threat Intelligence Analyst
- Dragos
- Singapore, Singapore
- SGD 180,000
- AI Model and Agent Operation Project Intern (Business Integrity)
- TikTok
- Singapore, Singapore
- SGD 42,000 – SGD 54,000
- FVP Functional Business Analyst, Retail Credit, GRCTO
- United Overseas Bank
- Singapore, Singapore
- SGD 90,000 – SGD 130,000
- Senior Data Analyst
- Xiaomi
- Singapore, Singapore
- SGD 90,000 – SGD 130,000
- Principal Engineer, Data, BIA & AI - Data Architect
- ASM
- Singapore, Singapore
- SGD 180,000 – SGD 250,000
- Senior Development Lead
- Standard Chartered
- Singapore, Singapore
- SGD 160,000 – SGD 220,000
- Forward Deployed AI Scientist
- Boston Consulting Group (BCG)
- Singapore, Singapore
- SGD 90,000 – SGD 130,000
- TikTok LIVE - Product Manager - Fund Penalty
- TikTok
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Global Revenue Operations Intern, AI Enablement
- Seagate Technology
- Singapore, Singapore
- SGD 24,000 – SGD 36,000
- Forward Deployed AI Scientist (For 2027 intake)
- Boston Consulting Group (BCG)
- Singapore, Singapore
- SGD 90,000 – SGD 120,000
- Murex Collateral Business Analyst/ Consultant
- Cygnify
- Singapore, Kuala Lumpur
- MYR 144,000 – MYR 216,000
- Intern Student
- Koch
- Jurong Town, Singapore
- SGD 36,000 – SGD 50,400
- Senior Data Analyst
- Xiaomi
- Singapore, Singapore
- SGD 110,000 – SGD 150,000
- Functional Consultant
- MRI Software
- Singapore
- SGD 60,000 – SGD 80,000
- Technical Solutions Consultant, Meta Business Agent
- Meta
- Singapore, Singapore
- SGD 90,000 – SGD 120,000
- Data Analytics Platform Architect
- NCS Group
- Singapore, Singapore
- SGD 110,000 – SGD 150,000
- Senior Modality Leader APeC
- Merck Group
- Singapore, Singapore
- SGD 150,000 – SGD 200,000
- Intern - Exchange Operations, Applied Intelligence
- SGX Group
- Singapore, Singapore
- SGD 12,000 – SGD 18,000
Business Intelligence roles involve designing and maintaining reporting systems, building dashboards, writing SQL queries, and translating business questions into data visualizations. The work spans data extraction, transformation, warehouse maintenance, and stakeholder communication.
Employers typically require SQL proficiency, experience with BI tools like Tableau or Power BI, and understanding of data modeling. Many positions ask for a degree in a quantitative field, though demonstrated technical ability and business acumen often matter more.
These roles exist across industries—retail, finance, healthcare, technology—at companies from startups to enterprises. Positions range from junior analyst to senior architect, sitting within data teams, IT departments, or embedded in business units.
Business Intelligence jobs by city
- Bengaluru32
- Hyderābād23
- Singapore22
- Mexico City18
- Colombia17
- São Paulo17
- London17
- New York City16
- Lisbon16
- Kraków14
- Gurugram13
- Pune12
- Noida11
- Paris11
- Istanbul11
- Hamburg11
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Questions
What does a typical day in Business Intelligence involve?
A typical day involves writing SQL queries, building or updating dashboards, meeting with stakeholders to understand reporting needs, and troubleshooting data quality issues. Time splits between technical work at the computer and collaborative sessions explaining findings or gathering requirements.
Can someone enter Business Intelligence without a technical degree?
Yes, many professionals enter through self-study, bootcamps, or by transitioning from analyst roles in other departments. Strong SQL skills, familiarity with BI tools, and the ability to understand business problems matter more than formal credentials.
How does Business Intelligence differ from Data Analytics?
Business Intelligence focuses on reporting, dashboards, and maintaining data infrastructure for ongoing operational insights. Data Analytics tends toward exploratory work, statistical analysis, and answering specific research questions, often with less emphasis on production systems.
What skills advance a Business Intelligence career most quickly?
Deep SQL expertise, data warehouse architecture knowledge, and the ability to translate business needs into technical requirements accelerate advancement. Strong communication skills and understanding of business operations distinguish senior practitioners from junior ones.
Do Business Intelligence roles require programming beyond SQL?
Many roles operate primarily in SQL and BI tools without traditional programming. Senior positions and roles at tech companies increasingly expect Python or R for advanced transformations, but scripting remains optional in many organizations.
What working conditions characterize Business Intelligence positions?
Most work happens at a desk with standard office hours, though deadlines around executive reporting or quarter-end can create pressure. Remote work is common since the role relies on database access rather than physical presence.
How technical is Business Intelligence compared to Data Engineering?
Business Intelligence is less technical, focusing on querying existing data systems and visualization rather than building data pipelines. Data Engineers architect and maintain the underlying infrastructure that BI professionals use for reporting.
What career progression exists within Business Intelligence?
Paths typically move from analyst to senior analyst, then to lead or manager positions overseeing reporting teams. Some professionals shift toward data architecture or strategy roles, while others specialize in particular industries or functional areas.
Is Business Intelligence work repetitive or varied?
The work combines recurring responsibilities like maintaining existing dashboards with new projects analyzing different business problems. Balance depends on the organization—mature companies lean toward maintenance while growing ones demand more greenfield development.
What makes Business Intelligence work frustrating or difficult?
Data quality issues create constant challenges when source systems contain errors or inconsistencies. Stakeholders often request impossible analyses or change requirements mid-project, and urgent requests can interrupt planned work regularly.