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Tableau transforms raw data into visual storytelling, bridging the gap between complex datasets and actionable insights. Its drag-and-drop interface democratizes data analysis, enabling non-technical users to create sophisticated visualizations. Enterprise-grade features like live connections, robust security, and seamless integration with various data sources distinguish it from competitors. However, licensing costs can be prohibitive, and performance suffers with massive datasets. While powerful for business intelligence, Tableau lacks the deep analytical capabilities of more programmatic tools. Best suited for organizations prioritizing intuitive visualization over complex statistical manipulation, it remains a go-to solution for turning data into compelling narratives.

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data engineer

SAS Data Engineer, Data & Analytics, Technology Consulting @ ernstandyoung

SG | 2025-12-27
EY DnA in Singapore seeks a Data Engineer with SAS Viya to own end-to-end data platforms across BI, data warehousing and big data projects. The role demands 5+ years of SAS engineering,... read more »
Analytics, Data Analytics, Go, Big Data, SAS, ETL/ELT, Data Engineering, Agile/Scrum, BI, DWH, Management, Hadoop, Oracle, Tableau, Power BI, Computer Science
data engineer

Senior Data Management Professional - Data Engineer - BNEF Data, Singapore @ bloomberg

SG | 2025-12-27
As Bloomberg’s BNEF Data Analyst in Singapore, you’ll grow renewable projects databases by shaping the data model, pipelines and quality specs, and you’ll coordinate with Engineering, Product, and... read more »
Analytics, Data Modelling, Data Quality, Management, AI/ML, Computer Science, Data Management, Python, SQL, Qlik, Tableau
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data engineer

VP, Data Engineer, Data Strategy Group @ gic

SG | 2025-12-27
This role is a high-impact, high-stakes opportunity for a data engineer at GIC, where technical excellence and strategic insight are paramount. The position requires deep expertise in data... read more »
Data Engineering, Analytics, Management, Agile/Scrum, GitHub, Jira, Databricks, Python, dbt, Airflow, AWS, Cloud Computing, Data Analytics, Data Modelling, DataViz, PySpark, SQL, Docker, Kubernetes, DevOps, CI/CD, BI, Tableau, Microsoft, Data Quality
data engineer

Data Engineer @ aon

SG | 2025-12-26
Aon’s data engineer role involves building data pipelines, warehouses, and supporting databases with a focus on performance and data modeling, offering a unique access to a broad spectrum of... read more »
Analytics, ETL/ELT, Spark, Databricks, Data Lake, SQL, Data Modelling, DWH, BI, Power BI, Tableau, AI/ML, Data Engineering, Cloud Computing, Management, AWS, Amazon RDS, S3, Agile/Scrum
data engineer

Technology - Application Development, Full Time Analyst, Singapore, 2026 @ citi

SG | 2025-12-25
A two-year analyst program at Citi offers exposure to software development, cloud strategy, and analytics tools, with a unique rotational structure to discover the best fit. The role emphasizes... read more »
Agile/Scrum, Go, Java, Cloud Computing, JavaScript, GenAI, GitHub, TypeScript, Data Analytics, Splunk, Tableau, Adobe Analytics, API, AWS, CI/CD, Jira, Docker, Data Streaming, Kafka, Kubernetes, Computer Science, Management
data engineer

Data Engineer - Singapore @ plaudai

SG | 2025-12-24
Plaud Inc. seeks a data professional to develop data pipelines, support data collection, and build datasets for AI evaluation, with a notable emphasis on data security practices. The role offers... read more »
AI/ML, GDPR/CCPA, Cyber Security, Analytics, Data Collection, Data Engineering, Analytics Engineering, SQL, Python, Go, Scala, ETL/ELT, Airflow, Prefect, Dagster, BigQuery, Snowflake, Redshift, Tableau, Looker, Superset, Data Modelling, Data Governance
promoted

The Fundamentals of Analytics Engineering

The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.

data engineer

Assistant Manager, Artificial Intelligence Office @ national-university-health-system

SG | 2025-12-22
NUHS’s Central Data Engineering Office seeks an Executive/Snr Executive/Assistant Manager to design, build, and run cloud-native data pipelines on Databricks and AWS. The role promises scale,... read more »
Data Engineering, Data Analytics, AI/ML, Cloud Computing, Databricks, AWS, Analytics, ETL/ELT, Data Quality, Computer Science, SQL, Python, Java, Scala, DWH, Git, Unix, Linux, DataViz, Tableau, Power BI, Management, Data Governance