Data Analytics Lead – Finance – MoonPay
Data AnalysisBookmark Details
MoonPay (51-200 Employees, 1000% 2 Yr Employee Growth Rate)
243% 1-Year Employee Growth Rate | 1000% 2-Year Employee Growth Rate | LinkedIn | $555M Venture Funding
What Is Employee Growth Rate & Why Is It Important?
MoonPay builds payments infrastructure for cryptocurrencies. Our on- and off-ramp suite of products provides a seamless experience for converting between fiat and crypto using all major payment methods in over 160 countries. Our mission is to make cryptocurrencies accessible to over a billion people by 2030!
We are trusted by 250+ leading wallets, websites, and applications. Some of the biggest crypto brands in the world, including Bitcoin.com, Dapper Labs, OpenSea, Argent, ZenGo, Trust Wallet and Spot, rely on our technology. Through these partnerships alone, our products are used by over 5 million users worldwide.
One of the great things about working at MoonPay is that we are remote first. Our global team spans 25+ countries, and we pride ourselves on having a connected and inclusive culture that empowers people to do their best work. We give our team autonomy to move fast, innovate and take responsibility. Join us in our mission to build a better financial world!
We are very proud of our values and expect all those who join us to help us proactively drive and improve our culture, aligned to these values.
- B – Be Humble
- L – Lead with Empathy
- O – Own It
- C – Communicate Clearly
- K – Kaizen
The Team ❤️
The data team is here to build, maintain and serve the best in class data platform to the whole of MoonPay, enabling all the teams to be able to make key data-driven decisions and gain further insights into our operations. We’re well established within MoonPay but there is still more than ample opportunity for you to come in with your own ideas and help shape our future.
Tech Stack
GCP, BigQuery, Postgres, Python, Airflow, DBT, Looker
What you’ll do
- Lead the Finance Data Analytics team; work closely with the Finance and Accounting teams to ensure that their needs are being met.
- Automate financial reconciliation processes, be proactive with developing end-to-end data solutions to be as near real-time as possible.
- Perform data analysis and execute investigations related to finance use cases; liaise with cross-functional groups to resolve issues.
- Evaluate new technologies and build prototypes for continuous improvements in finance data analytics operations.
- Communicate complex results to both technical and non-technical audiences across various teams.
- Provide mentorship, management and guidance to the team.
- Work closely with talent and recruiting teams to grow and scale up the team.
You should apply if you have the following ✅
- 5+ years as a Data Scientist or Data Analyst with a specific focus on finance.
- Experience with finance operations, management reporting, and regulatory reporting.
- Advanced knowledge of SQL (knowledge of window functions)
- Advanced knowledge of data visualization tools (preferably Looker)
- Experience processing, cleansing, and verifying the integrity of data used for analysis
- The versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment
- Experience communicating with cross-functional stakeholders including finance managers, engineers, VP & C-level executives
- Familiarity with DBT
- Knowledge of python
- Keen eye for operational and technical excellence.
Benefits
- Stock options
- Unlimited holidays
- Home office equipment allowance of $600 USD (or local equivalent)
- Working in a disruptive and fast-growing industry where the possibilities are endless
- Fully remote: your life, your way of working
- Freedom, autonomy and responsibility