Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
MoonPay | London, United Kingdom | $63k - $87k | |||
Binance | Singapore, Singapore |
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Spring Labs | Nationwide | $91k - $96k | |||
Stardust Cards Corporation | Remote | $45k - $60k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
CANDY | New York, NY, United States | $81k - $100k | |||
Gemini | Austin, TX, United States | $98k - $108k | |||
Gemini | New York, NY, United States | $91k - $96k | |||
Gemini | New York, NY, United States | $45k - $60k | |||
MoonPay | London, United Kingdom | $91k - $96k | |||
Worldcoin.org | Berlin, Germany | $45k - $60k | |||
Voice | New York, NY, United States | $32k - $60k | |||
OKEx | Hong Kong, Hong Kong | $32k - $76k | |||
OKEx | San Francisco, CA, United States | $32k - $76k | |||
OKEx | Hong Kong, Hong Kong | $32k - $76k | |||
Okcoin | San Francisco, CA, United States |
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This job is closed
The Team ❤️
Our newly formed data team is here to build up and serve a best in class data platform to the whole company. This is a greenfield project so you will be able to play your part in key decisions and our strategy from the outset.
Tech Stack đź’»
GCP, BigQuery, DBT, Looker
What you’ll do 👀
- Prepare reports and present the story of the data to stakeholders on all levels of the organization in an easily accessible manner
- Perform data analysis and investigation related to finance use cases and liaise with cross-functional groups to resolve issues
- Process and clean the data used for analysis and reporting
- Evaluate new technologies and build prototypes for continuous improvements in finance data analytics operations
- Develop automation as feasible to drive data solutions to be as near real-time as possible
- Communicate complex results to technical and non-technical audiences (across different teams)
- Cross-functional team working
- Work in a fast phase growing company
As a Senior you will be expected to:
- Mentor and coach Data Analysts.
- Contribute to our overall approach and standards within the Engineering discipline.
You should apply if âś…
- Working experience as a finance analyst
- 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
- Good communication skills in English
Bonus points if:
- Working in fintech
- Knowledge of cryptocurrency
Researchhas shown that women are less likely than men to apply for this role if they do not have solid experience in 100% of these areas. Please know that this list is indicative and that we would still love to hear from you even if you feel you only are a 75% match. Skills can be learnt, diversity cannot.
We promote a diverse and inclusive culture at MoonPay.
Logistics đź›
Unfortunately, we are unable to offer visas of any kind at this time!
Our interview process takes place on Google Hangouts and tends to consist of the following stages:
- Initial screen (30-45 minutes)
- Remote take-home task
- Final interview (2 hours)
Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.