Qlik
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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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Jobs in using Qlik for but please no
| AI/ML, KPI, Data Quality, Management, Excel, VBA, DataViz, Tableau, Qlik, Oracle, MySQL, SQL | |||
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data scientist
Senior Data Management Professional - Data Product Owner - Data AI @ bloomberg
GB | 2025-12-27
Bloomberg's Data AI unit seeks a Data Product Owner with fixed-income data and annotation program management chops to steer evaluation datasets for generative AI. It reads as governance-forward:...
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Analytics, AI/ML, Management, GenAI, Data Analytics, Data Governance, Data Management, Python, SQL, DataViz, Tableau, Qlik, Splunk | ||
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promoted
O'Reilly: Building AI Agents with Model Context Protocol (MCP)Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs. |
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| AI/ML, KPI, Data Quality, Management, Excel, VBA, DataViz, Tableau, Qlik, Oracle, MySQL, SQL | |||
| Data Science, Marketing, Analytics, GDPR/CCPA, Data Management, Computer Science, Management, SQL, Tableau, Qlik, QuickSight, Data Governance | |||
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data engineer
Data Engineer @ latentview-analytics
GB | 2025-12-22
This role involves building and scaling data pipelines, dashboards, and analytical infrastructure for international customer success insights, combining data engineering and analytics. A key...
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Dashboard, Analytics, Data Engineering, Data Analytics, SQL, Data Modelling, Big Data, Snowflake, Databricks, Spark, AWS, GCP, Azure, Tableau, Power BI, Looker, Python, R, API, Git, KPI, ETL/ELT, Data Governance, Qlik, BI, Data Science, Cloud Computing, CI/CD |