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Back in the dark ages before everyone decided data needed to be democratized, business intelligence meant wrestling with Excel and praying your SQL was up to snuff. Then came Looker, promising a semantic layer that would finally bridge the gap between analysts and, well, everyone else. The idea was elegantly simple: define your data relationships once and let the tool handle the rest. Quite clever, really, though one does wonder if the promise of a single source of truth ever truly materializes in any organization.

In practice, Looker’s modeling language, LookML, requires a dedicated skillset—it's not exactly point-and-click. Think of it as a beautifully crafted system that demands a devoted priesthood. While Tableau and Power BI offer broader accessibility, Looker excels in data governance and consistent metrics, especially for larger enterprises. Now under Google Cloud’s wing, it’s a solid choice for organizations willing to invest in the learning curve and maintain a robust data modeling practice – though plenty still find themselves yearning for the simplicity of a well-placed pivot table.

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data scientist

Product Manager, Applied AI @ warner-music-group

GB | 2025-12-27
This role involves guiding Warner Music Group's shift from descriptive to predictive and augmented intelligence within the BI unit, with a differentiator being the focus on integrating emerging AI... read more »
AI/ML, BI, Analytics, R, Marketing, GenAI, LLM, Management, MLOps, Computer Science, Data Science, DWH, SQL, Python, Looker, Tableau
data scientist

Data Science Manager @ payzilch

GB | 2025-12-27
Zilch is seeking a data science manager who can lead a technically hands-on team delivering production-ready machine-learning solutions for payments, fraud detection, and risk modeling. The role's... read more »
Data Science, Management, Analytics, Git, CI/CD, AI/ML, MLOps, Cloud Computing, Python, SQL, Pandas, NumPy, AWS, Amazon SageMaker, Modern Data Stack, dbt, Snowflake, Looker, LLM, Data Streaming
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 scientist

Senior Data Scientist @ monzo-bank

GB | 2025-12-27 | GBP 80000 - 95000 / year
A Senior Product Data Scientist role at Monzo involves analyzing user interactions to inform product strategy, with an emphasis on impact and independence. The position's differentiator is working... read more »
Data Science, Word, Analytics, Looker, SQL, Python
data scientist

Data Scientist, International Expansion @ whatnot-inc

GB | 2025-12-26
Whatnot, the largest live shopping platform in NA and Europe, seeks a Data Scientist to own end-to-end analysis of revenue and category performance across non-US markets, turning ambiguity into... read more »
GTM, Marketing, Management, KPI, Analytics, Data Analytics, Go, SQL, BI, Looker, Tableau, Big Data, Redshift, Snowflake, Presto, Athena, Spark, dbt
data scientist

Lead Data Scientist @ monzo-bank

GB | 2025-12-24
This role is a lead data scientist at Monzo, tasked with driving data-driven decisions to build a bank that customers love. The position emphasizes strategic data strategy, experimentation, and... read more »
Data Science, Word, Analytics, Looker