- Location
- Remote job
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Source
- Recruitee
Description
At dYdX you'll have an opportunity to build state-of-the-art decentralized technologies that will redefine global financial markets. By joining us at this stage in our growth, you will help make fundamental decisions that will shape the course of dYdX.
→ Learn more about working at dYdX
RESPONSIBILITIES:
Growth Analytics
Collaborate closely with marketing and other cross-functional teams to understand campaign strategies, lifecycle efforts, product usage metrics, and translate those into actionable data insights using tools like SQL and Mode
Analyze growth funnels, campaign performance, and user cohorts to identify key acquisition and retention drivers to inform product decisions
Own attribution and cohort analyses across marketing channels to optimize user acquisition strategy
Design and evaluate A/B tests and lifecycle marketing strategies to improve user conversion and engagement
Data Infrastructure & Enablement
Design and maintain scalable data pipelines and structured models in the data warehouse (e.g., using SQL) to power marketing dashboards, campaign tracking, and self-serve analytics
Build pipelines for blockchain transaction, order book, and market participant data to support analysis of user behavior, product engagement, and market dynamics relevant to growth strategies
Own and evolve marketing dashboards with KPIs, data visualization with strong story telling, etc. to influence marketing and product decisions for Senior Leadership
Ensure high data quality and consistency by implementing validation, monitoring, and documentation standards; establish strong data governance practices across marketing and growth analytics
Help instill a data-first culture by making tools and metrics intuitive, reliable, and accessible. Provide guidance to teammates on how to use and interpret data
Continuously enhance data infrastructure by optimizing systems, evaluating new tools, and promoting data best practices across the organization
Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs