
Analytics Engineer - Crypto and Payments
Job Description
About the Opportunity
This is an opportunity for an ambitious Data Analytics Engineer to have a huge impact across the organization, while working in a complex and rapidly changing crypto environment. We are looking for someone with experience or an interest in end-to-end “full-stack” data work, including: data strategy, analytics/data engineering, and (advanced) data analytics. The main focus of this position will be to play a crucial role in supporting our Accounting and FP&A functions.
What You Will Do
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Build robust data models and infrastructure downstream of backend services and external data sources, which support reconciliation, internal reporting, and ad-hoc analysis.
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Develop “The Ledger”, which tracks all our crypto and fiat movements from wallet and exchange data sources.
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Design, build, and scale a MoonPay-wide approach to reconciliation for cash, crypto, and payments data using both internal and external data sources.
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Conduct specific analysis and build data solutions for new product flow of funds, crypto inventory balances, or cost basis reporting.
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Collaborate with the finance team and the crypto engineering team to conduct investigations into issues, such as crypto delivery timing, or payments reconciliation.
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Work closely with accounting and finance to understand their needs, and build custom tables and reporting to support their efforts.
About You
Must-have experience and skills
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Advanced SQL and data modelling are second nature to you
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You have a vision and enthusiasm for architecting and building robust data models to contribute to our current ecosystem of data products.
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You have the versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment
Nice-to-have experience
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You have experience and/or a strong interest in working directly with a finance team, interest in Accounting, Financial Audits, or Financial Reporting is a plus.
Additional Information
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Job Details
- DepartmentData / Research
- Work ModeHybrid
- LocationLondon, New York - Hybrid
- Employment TypeFull-time
- LevelManager
- CountryUK, USA