Provide insights and recommendations to stakeholders based on a deep understanding of MoonPay products, and be able to identify and drive new opportunities for product improvements
Work closely with our payments product vertical and business stakeholders to review product performance, look for opportunities to optimize our products, and deliver data driven strategies for increased product performance.
Define KPIs, design tracking and set up monitoring for new product launches & changes.
Oversee and implement A/B tests and other experiments to drive forward optimization efforts
Design, build and scale both internal and external data products, which drive informed decision making, examples include: dashboards, reports, data models, algorithms, integrations into other product lines.
Communicate complex concepts and findings to technical and non-technical audiences across different teams, while ensuring clarity and understanding to drive critical business decisions.
About You
Must-have experience and skills:
4+ years of hands-on experience as a data scientist or data analyst, preferably in a product-focused role.
Advanced SQL, data modelling, and data visualisation tools are second nature to you.
An understanding of the fundamentals of statistics and probability, including experience in conducting large-scale A/B tests.
Experience working with product teams in an analytics role.
An active interest in cryptocurrency, and have interacted with crypto/blockchains in the past
Experience working within the fintech and/or crypto space is preferred
The versatility and willingness to learn new technologies on the job and adapt quickly to changing priorities within a very dynamic environment.
Exceptional communication skills and can clearly summarise complex data findings and decisions to various levels of audiences.
Nice-to-have experience:
Worked with DBT, Google BigQuery, Looker and Python
Experience working in start-ups or scale-ups
Worked within the payments space
Bonus Points
Worked with blockchain data (e.g. explored on-chain activity through Dune, Flipside, or other tools)
Working knowledge of Machine Learning principles and experience partnering or driving ML initiatives
