Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’.
Skills, with evidence
The Analytics Engineers who serve these teams own the data modelling layer that all of it runs on: dbt models, metric definitions, and semantic layer contributions. must have
Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring. must have
- SQL Solid SQL and dbt experience, with a clear comfort owning models end to end. must have
- dbt Build and maintain dbt models in our new Analytics Warehouse, using a clean, layered architecture and migrating logic off legacy tools as you go. must have
- You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus. not practised here
- Warehousing You'll join a close-knit team actively migrating our analytics stack onto a new Analytics Warehouse and Omni, moving off legacy tools like Looker and Hippocampus.
- Airflow / orchestration - Orchestration: Airflow
- - Maintain data quality in your domain through dbt tests, freshness SLAs, and proactive monitoring.
- GCP - Data warehouse: GCP / BigQuery (new Analytics Warehouse) not practised here
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