Analyst Jobs at Blowfish

About the position

Regardless of your role, you'll have massive ownership and freedom and have the opportunity to work with a variety of technologies across the stack (and across blockchains). This role is fully remote.

Technologies we currently use

• 🦀Rust & 🐍Python
• AWS as our main cloud provider
• Postgres / Redis / Kafka / S3 / Prometheus

What you’ll do at Blowfish

• Partner with engineering and leadership to influence, support and execute strategy and product decisions
• Work with large and complex data sets to analyze novel crypto scams using various analytical and statistical approaches
• Apply technical expertise in data mining, quantitative analysis, and the presentation of data
• Define, understand and test opportunities to improve our transaction scanning through learnings and recommendations
• Define team metrics and goals and make them easily available through ETLs and reporting dashboards

We'd love to hear from you if...

• You want to be part of an early team with a lot of new product to build
• You are excited or curious about working with blockchain technologies
• You enjoy tackling big problems with unknown solutions
• You're comfortable creating something from nothing
• You are detail-oriented and care deeply about developer experience
• You're known to be pro-active and are driven by curiosity
• You can handle complexity, but prefer simplicity

Qualifications

• Bachelor’s degree in Mathematics, Statistics or equivalent practical experience
• 3+ years of work experience in Data Science/Analytics
• Experience in handling large data sets using data querying languages such as SQL, scripting languages such as Python and statistical/mathematical software such as R or MATLAB
• Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, and the ability to accurately determine cause and effect relationships
• Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs