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Back in the day, when data warehouses were king and everyone was drowning in star schemas, along came Qlik. It promised associative data discovery – a fancy way of saying “let’s let users explore without pre-defined paths.” Quite clever, really, though one does wonder if empowering analysts with too much freedom simply creates more questions than answers.

The reality? It’s a powerful in-memory analytics engine. Think drag-and-drop dashboards meets a scripting language that can quickly become…involved. While Tableau and Power BI focus on visual polish and ease of use, Qlik offers more granular control, appealing to the technically inclined. Still widely used in large enterprises, particularly those with complex data models, it’s a bit like a Swiss Army knife – capable of almost anything, but perhaps not always the prettiest tool in the shed.

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analyst

Contract Data Analyst @ singapore-tourism-board

SG | 2025-12-28
This role reads like a project-manager wearing a data-engineer hat. You’ll migrate data, build dashboards, and run pipelines, while also managing vendors and cross-functional teams. The tech list... read more »
Data Analytics, Analytics, Management, DevOps, Data Quality, R, Python, SQL, API, Qlik, QuickSight, AWS, AWS Glue, Amazon SageMaker, Amazon RDS, Computer Science, DataOps, MLOps
analyst

T&T Graduate Analyst - Artificial Intelligence & Data - SG - Sep 2025 @ deloitte

SG | 2025-12-24
This position at Deloitte's Artificial Intelligence & Data team in Singapore is ideal for fresh graduates or recent entrants looking to build a technical foundation in data engineering amidst an... read more »
AI/ML, Analytics, Big Data, BI, Microsoft, SQL, Oracle, SAP, IBM, Qlik, Informatica, Data Governance, Data Quality, Management, Python, Computer Science, C, Java, Agile/Scrum, Cloud Computing, AWS, GCP, Azure, Spark, Hive, Kafka, Apache HBase, Linux, Unix