Product Data Analyst
Payward, Inc. is a global financial infrastructure company and the parent organization behind Kraken. It provides trading, custody, payments, lending, staking, tokenized assets, derivatives, and market data infrastructure to consumers, professional traders, institutions, enterprises, fintechs, banks, exchanges, asset managers, and onchain platforms.
Funding
Investors
About Payward, Inc.
Payward, Inc. operates a unified financial infrastructure platform powering a portfolio of products including Kraken, NinjaTrader, Breakout, xStocks, CF Benchmarks, and Payward Services. Its shared architecture provides global liquidity, risk and margin management, collateral and settlement, compliance and licensing, and operational infrastructure across crypto, tokenized assets, and traditional markets. Through Payward Services, the company offers APIs and infrastructure for crypto trading, custody, on/off-ramps, tokenized equities, derivatives, staking and yield, payments, and benchmark data. Payward operates across more than 190 jurisdictions and serves consumers, professional traders, institutional investors, enterprises, fintechs, banks, exchanges, asset managers, and DeFi/onchain protocols.
Skills
About the Role
You will own end-to-end data management for the Pro product domain, including production pipelines, dbt models, dashboards, and metric frameworks. You will define north star metrics, build full-funnel reporting, design and lead A/B testing and causal-inference analyses, and turn results into product recommendations. You will improve data quality and engineering standards, incorporate AI-assisted analytics workflows, and communicate clear insights to technical, non-technical, and senior audiences.
Requirements
- 7+ years of experience in data analytics or analytics engineering
- Experience in fintech, payments, financial markets, or crypto environments with high data-quality and scale requirements
- Hands-on experience with advanced trading products in equities, crypto, or other assets
- Professional financial-markets, trading-desk, or professional-trading background
- Experience building and owning production data pipelines
- Strong familiarity with dbt and Airflow or equivalent orchestration tools
- Mastery of SQL, including complex joins, CTEs, and analytical functions
- Strong Python proficiency for pipeline development and analysis
- Experience designing and running A/B tests and experimentation frameworks
- Ability to apply causal inference techniques and develop growth recommendations
- Experience leading cross-functional data initiatives from design through delivery
- Ability to communicate complex data concepts to technical and non-technical audiences
- Degree in software engineering, economics, hard science, or a similarly analytically rigorous field
- Fluency in English
Responsibilities
- Own the product data domain as a full-stack data analyst
- Design and evolve dashboards, north star metrics, and analytical frameworks
- Build and maintain scalable dbt models, production pipelines, and full-funnel reporting
- Design and own A/B testing frameworks and apply causal inference techniques
- Translate experimental results into product strategy recommendations
- Contribute to data technical direction, priorities, data quality, and engineering standards
- Use LLM-augmented pipelines and GenAI-assisted analytics workflows
- Deliver data-driven insights to technical, non-technical, and senior audiences