About the company
The global financial ecosystem is changing. Revolutionary blockchain technology has unlocked the potential for people around the world to have more equal access to wealth and information. This transformation has begun with the mass global adoption of cryptocurrencies but like all new financial systems, it needs greater trust to realize its full potential and remain safe from bad actors. That’s where we come in. The Chainalysis blockchain data platform enables businesses, governments, and banks to solve the world’s most high-profile criminal cases, paving the way for an economy built on blockchains.
Job Summary
In this role, you’ll:
📍You are an expert in accessing and analyzing all of Chainalysis’ datasets including blockchain data, product usage data and financial metrics. 📍You will build tools and mechanisms for consolidating and updating data regularly to make it easily accessible to all stakeholders in the company. 📍You will translate product and business questions into quantitative questions, uncover the inputs into our success metrics and start publishing weekly reports that product and data science teams use to identify critical areas of improvement. 📍You will successfully collaborate with internal engineering teams to create new datasets when we cannot answer the product questions. 📍You will create new KPIs to track the product performance that guide the product team’s initiatives. 📍You treat our internal data as a product and helped to scale the company’s analytics platforms, trained folks to leverage BI tools, and provided your colleagues with easier access to insights. 📍You will be a critical contributor to the company’s pricing strategy for different products and access levels.
We’re looking for candidates who have:
📍Minimum 5 years of work experience, minimum 2 years of product management experience with proven results. 📍Educational background in Computer Science, Engineering, Math, Statistics, Economics or a quantitative discipline preferred. 📍Professional work experience in a hands-on analytics function with proven quantitative orientation. 📍Proven ability to translate ambiguous business and product questions into quantitative problem statements, structure complex analysis, implement large scale analytical solutions and drive business and product insights. 📍Advanced skills in SQL, ETL, Data Warehouse solutions and databases (e.g. Databricks, Snowflake, AWS Athena). 📍Knowledge and experience with data pipeline technologies (e.g. Kafka and DBT) and basic data architectures (e.g. Event-Driven, Lambda, Data Warehouse etc..) (
