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Analytics Engineer
Monzo
- New York, New York, United States
- New York, New York, United States
About
About our Analytics Engineering Team Our Analytics Engineering discipline works at the intersection between data, engineering and our collectives – Money, Borrowing, Operations and Financial Crime and beyond. The team is responsible for building downstream data models from backend services with the goal of making our Data Warehouse a genuine competitive advantage for the company. We aim to build an excellent Data Warehouse that supports decision making, BI, key financial reconciliation processes and best‑in‑class analytics and data science.
What you’ll be working on Your day-to-day
Support the building of robust pipelines and data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.
Build with optimisation of our Data Warehouse in mind, spotting and raising opportunities to reduce complexity and cost.
Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.
Follow our established best practices and standards defined by the team.
Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
You should apply if:
You have some experience and a passion for Data Modelling, ETL projects and Big Data as an engineer, developer or analyst.
You are confident with SQL and data modelling.
You are comfortable with general Data Warehousing concepts.
You have an eye for detail.
You’re ready to be part of a growing team in new areas of growth!
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Languages
- English
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