112 Business Intelligence Specialist jobs in Singapore

We are partnering with a global tech leader to hire a Business Intelligence (BI) Specialist for their asset management team. This role will focus on driving data-driven insights, building dashboards, and supporting decision-making through data governance and analytics.

The ideal candidate is detail-oriented, technically strong, and comfortable working cross-functionally to turn data into actionable insights that enhance operational performance and resource optimization across global data centers.

• Design, develop, and maintain BI dashboards and reports to track asset management performance.
• Collect, analyze, and interpret large datasets related to asset inventory, capacity, and lifecycle management.
• Support data governance initiatives to improve accuracy, consistency, and completeness of data.
• Collaborate with operations, IDC operations, and finance teams to enhance reporting visibility and efficiency.
• Identify trends and insights to support business planning, cost optimization, and process improvements.
• Automate recurring reporting processes and ensure timely delivery of performance metrics.
• Prepare clear documentation, including data flow diagrams, process guides, and analytical reports.
• Assist in drafting SOPs and reporting templates to ensure alignment and traceability of data.

• Bachelor's degree in Data Analytics, Information Systems, Business Administration, or a related field.
• 1–3 years of experience in Business Intelligence, Data Analytics, or Asset Management — preferably in data center or IT infrastructure environments.
• Strong proficiency in BI tools such as Power BI, Tableau, or Looker.
• Solid command of SQL, Excel, and data visualization techniques.
• Excellent documentation, communication, and problem-solving skills with strong attention to detail.
• Knowledge of asset lifecycle management and CMDB principles will be an advantage.

• Background in logistics, asset management, or data center operations.
• Hands-on experience with CMDB, ITAM, ERP, or similar platforms.
• Familiarity with SDLC (Software Development Life Cycle) and agile workflows.

Greenlane is a Singapore-based recruiting firm specializing in banking, trading, technology, and other industries. We connect exceptional talent with leading global organizations to help them build high-performing teams.

(EA Licence No.: 20C0261 | Registration No.: R

As a Business Intelligence Specialist, you will play a crucial role in driving data-driven decision making across the organization.

• Experience in data warehouse and data mart operations is essential for success in this role.
• Strong analytical skills are necessary to analyze complex data sets and identify trends and patterns.
• Able to handle data reconciliation and quality checks by implementing monitoring and troubleshooting procedures.
• Manage SLA and queries from end users to ensure timely resolution of issues.
• Proficient in Oracle PLSQL to develop and maintain complex database systems.
• Ability to perform UAT and provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge to make informed decisions.
• Excellent problem-solving and logical thinking skills to drive business outcomes.

• Experience with data analysis and business intelligence tools.

• Strong understanding of data modeling and database design principles.

• Proficiency in SQL and data warehousing technologies.

• Excellent communication and interpersonal skills to work effectively with cross-functional teams.

This role offers a competitive salary and benefits package, including medical, dental, and vision coverage.

Additionally, you will receive a generous retirement savings plan and paid time off for vacation and sick leave.

Strategic Insights and Innovative Solutions

We are seeking a highly skilled professional to lead our engagements with top-tier clients and internal stakeholders, translating complex business needs into actionable strategies and products that deliver measurable value.

About the Role

• Serve as the primary point of contact for high-profile clients, understanding their complex business objectives and data landscape.
• Lead the delivery of both ad-hoc analysis requests and proactive, high-value research initiatives, presenting findings through executive-level documents, interactive dashboards, and compelling presentations.
• Design and implement advanced statistical and machine learning techniques to analyze large-scale datasets and derive insights.

Key Responsibilities

• Architect end-to-end data science solutions tailored to client needs.
• Drive knowledge sharing initiatives across functions, developing best practices for transforming raw data into valuable analytical assets.
• Demonstrate expertise in creating actionable insights that drive business value, communicating complex findings to executives and non-technical stakeholders.

Requirements

• MSc/PhD in Mathematics, Statistics, Data Science, Computer Science, or related field.
• Substantial experience (4+ years) as a Data Scientist or similar role, proven track record in consulting or client-facing environments.

Data Science, Machine Learning, Statistical Analysis, Data Visualization, Python Programming, R Language, SQL, Power BI, Tableau, AWS, Azure, GCP

Tell employers about your skills

We are partnering with a global tech leader to hire a Business Intelligence (BI) Specialist for their asset management team. This role will focus on driving data-driven insights, building dashboards, and supporting decision-making through data governance and analytics.

The ideal candidate is detail-oriented, technically strong, and comfortable working cross-functionally to turn data into actionable insights that enhance operational performance and resource optimization across global data centers.

• Design, develop, and maintain BI dashboards and reports to track asset management performance.
• Collect, analyze, and interpret large datasets related to asset inventory, capacity, and lifecycle management.
• Support data governance initiatives to improve accuracy, consistency, and completeness of data.
• Collaborate with operations, IDC operations, and finance teams to enhance reporting visibility and efficiency.
• Identify trends and insights to support business planning, cost optimization, and process improvements.
• Automate recurring reporting processes and ensure timely delivery of performance metrics.
• Prepare clear documentation, including data flow diagrams, process guides, and analytical reports.
• Assist in drafting SOPs and reporting templates to ensure alignment and traceability of data.

• Bachelor's degree in Data Analytics, Information Systems, Business Administration, or a related field.
• 1–3 years of experience in Business Intelligence, Data Analytics, or Asset Management — preferably in data center or IT infrastructure environments.
• Strong proficiency in BI tools such as Power BI, Tableau, or Looker.
• Solid command of SQL, Excel, and data visualization techniques.
• Excellent documentation, communication, and problem-solving skills with strong attention to detail.
• Knowledge of asset lifecycle management and CMDB principles will be an advantage.

• Background in logistics, asset management, or data center operations.
• Hands-on experience with CMDB, ITAM, ERP, or similar platforms.
• Familiarity with SDLC (Software Development Life Cycle) and agile workflows.

Greenlane is a Singapore-based recruiting firm specializing in banking, trading, technology, and other industries. We connect exceptional talent with leading global organizations to help them build high-performing teams.

(EA Licence No.: 20C0261 | Registration No.: R )

We are seeking a highly skilled Data Analyst to join our team. As a Data Analyst, you will be responsible for analyzing and interpreting large datasets to identify trends and patterns.

Your primary focus will be on data analysis and statistical modeling using AWS Redshift. You will develop predictive models and machine learning algorithms to generate actionable insights from our data.

In addition to data analysis, you will create and maintain interactive dashboards in AWS QuickSight. You will design data visualizations to support business decision-making and optimize dashboard performance and user experience.

You will also monitor and troubleshoot AWS Glue jobs and data ingestion processes. Your expertise in data-focused monitoring and validation will ensure that our data pipelines run smoothly.

As a member of our team, you will collaborate with technical teams on data requirements and implement data governance best practices.

You will document your analytical methodologies and findings, prepare regular reports on data insights, and present your results to stakeholders.

To succeed in this role, you must possess strong analytical thinking and problem-solving skills. You should have proficiency in data analysis tools such as Python, R, and SQL, as well as experience with AWS data services like Redshift, QuickSight, S3, Glue, and Lambda.

A background in data science, statistics, and machine learning is essential for this position. You should also have experience with data pipeline development and troubleshooting, as well as basic knowledge of CI/CD pipelines.

We value Infrastructure as Code (IaC) familiarity for data environments, data visualization and dashboard development skills, and excellent documentation and presentation skills.

Job Overview

The Data Analyst plays a pivotal role in transforming complex data into actionable insights that inform business decisions. This position involves leveraging analytical expertise to design and produce comprehensive dashboards and reports, identifying data quality issues proactively, and communicating findings clearly to diverse stakeholders.

This role requires a strong blend of technical skills, business acumen, and an ability to translate data into compelling narratives.

Key Responsibilities:

• Developing advanced data analysis using SQL, Python, PowerBI, and Metabase following best practices
• Independently planning and developing data product features with minimal direction
• Quantifying end-to-end customer journey using advanced analytical techniques to increase conversion
• Analyzing user behavior patterns, conversion funnels, and customer segmentation

Benefits and Opportunities:

This position offers growth opportunities in developing expertise in advanced analytics techniques and business intelligence tools, building strong relationships with stakeholders across different business units, contributing to data-driven decision making that impacts commercial outcomes, and expanding technical skills in emerging areas like AI/ML applications and automation.

Required Skills and Qualifications:

The successful candidate will have proven expertise in Machine Learning & ML-Ops, experience working with LLM implementation and quality management, and AWS Bedrock hands-on experience or similar experience. Additionally, the candidate should possess strong communication and presentation skills, with the ability to communicate results effectively and build strong relationships with stakeholders.

• Collaborate with a team of skilled Software Engineers and Data Engineers in deploying and delivering software products.
• Take ownership of the development of key software components.

• Design, develop and maintain scalable data models and schemas using various data modelling best practices.
• Develop integration connectors to facilitate data integration from multiple sources and systems.

• Develop data transformation routines to clean, normalize, and aggregate data.
• Implement event-driven processing pipelines using frameworks like Apache Kafka, MQTT, AMQP.

Business Intelligence Analytics Specialist

We are seeking a highly skilled Business Intelligence Analytics Specialist to play a pivotal role in our organization.

• Developing BI Solutions : Design and implement BI tools and visualization dashboards based on business requirements, develop automated data reporting systems integrated with tools like Power BI/Tableau/QuickSight, explore innovative AI+BI applications such as intelligent alerts and predictive analytics.
• Data Governance and Quality Control : Establish robust data standards and metadata management frameworks, monitor data quality, and design anomaly detection and remediation mechanisms, collaborate with information security teams to ensure data compliance.
• Business Enablement and Collaboration : Collaborate closely with marketing, operations, and finance departments to identify data-driven business growth opportunities, deliver data insight reports to support informed decision-making at management levels.

Requirements

• Bachelor's degree or above in Computer Science, Information Technology, or related fields.
• Proficient in SQL, Python, and Scala programming languages; familiar with the Hadoop, Spark, and Flink ecosystems.
• At least 3 years of experience in data warehouse development, having led at least 2 end-to-end BI projects.
• Experience in BI project development for automotive, smart manufacturing, and consumer electronics industries.
• Knowledge of OEM supply chain management or telematics data analysis is a plus.
• Excellent cross-departmental coordination skills to rapidly identify business pain points.
• Data sensitivity with insight to identify business opportunities through data analysis.
• Fluent in English as a working language.

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Job Description:

Job Description

In this role, your main responsibility would be to play the role of a quantitative Financial Analyst.  Your other responsibilities would include supporting general accounting activities in line with the defined strategies, policies, and procedures our organization.

This role also includes preparing and presenting financial data for review to management for making the right decisions. Creating financial models and pro-formas is also part of the job description of this position, including the development of supporting tools.

This professional will also be in charge of carrying out operational reporting, developing dashboards, key performance metrics, and trend analysis.

Requirements for the role

Supporting Financial Planning and Analysis (FP&A) activities including budgeting, forecasting, variance analytics and reporting.

Conduct variance analysis to compare (actual vs .budget/forecast) and identifying trends and key drivers.

Track and report on key performance indicators (KPIs) such as revenue growth, gross margin, operating expenses, and working capital.

Support month-end close activities, including accrual calculations, journal entries, and reconciliations.

Collaborate with cross-functional teams (finance, sales, operations) to provide financial insights for decision making.

Flexible working in shifts as required.

You have strong hands-on skills in MS Excel including working with pivot tables, formulas.

Proficient in the use of PowerPoint, Word and other Microsoft Office Applications to create documents and reports, etc.

Possess some knowledge in BI (power BI), Dashboarding, preparing reports

You have a Bachelor's degree or MBA in Accounting, Finance or Commerce with prior experience in financial Analysis and reporting

You are at ease communicating with senior stake holders

You have strong written and verbal communication skills

Energetic and self-motivated, and the ability to work independently yet achieve set goals and targets within deadlines.

Employee Type:

Permanent

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