moo - Senior Analytics Engineer
Requirements
• Semantic layer tooling in production • Natural-language/AI analytics tools (e.g. Cortex Analyst or similar) or preparing data for LLM consumption. • Experience rationalising dashboard estates or migrating BI logic downstream • E-commerce, manufacturing, or subscription business domains • What’s it like to work at MOO? • MOO’s the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success – while also recognising the importance of a healthy work/life balance. • That’s why we offer 25 days holiday rising by one day for each year here (for 5 years), a matched pension scheme, and paid parental leave. We’ll offer you private healthcare, life insurance, a season ticket loan, and a cycle to work scheme. We also offer flexible work schedules with hybrid and remote working for certain roles as well as a Work From Anywhere program. • Diversity Statement • We are working hard to create a representative, inclusive and super-friendly team, because we know that different experiences, perspectives and backgrounds make for a better workplace. And that creates a better experience for our customers. MOO doesn’t discriminate on the basis of race, colour, religion or belief, gender, national origin, age, sexual orientation, marital status, disability or any other protected class. • As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values-driven, purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment, welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore, we’d like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it won’t in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential, it is only used to better our inclusion and diversity efforts. By submitting this information, you consent to MOO's processing of it for these purposes.
Responsibilities
• Partner with stakeholders across operations, commercial, finance, and supply chain to design data models and unlock analytic capabilities • Define metrics, dimensions, and business logic in the semantic layer (dbt Semantic Layer / Snowflake semantic views) • Deliver reporting through our BI tooling (currently Tableau) with a tool-agnostic mindset, and reduce duplicated or conflicting outputs. • Curate and validate governed datasets and semantic models for AI/natural-language consumption, acting as the accuracy bar for AI-generated analysis. • Champion healthy self-service and data literacy heading in the directon of fewer, better, trusted outputs • Review others' work constructively and contribute to the team's modelling standards. • Demo new features and train business stakeholders when required
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