Uniswap Labs

Analytics Engineer

• Design, develop, and maintain scalable data pipelines to manage and transform large amounts of on-chain and off-chain data that make data insights widely available across the company
• Optimize data storage and retrieval processes for performance and scalability.
• Implement data validation and monitoring processes to ensure data accuracy and consistency.
• Conduct regular audits and data quality assessments to identify and resolve data issues.
• Develop and maintain data models, dashboards, and reports to support business analytics and decision-making.
• Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide robust solutions.
• Conduct exploratory data analysis to discover trends, patterns, and insights that drive business and product strategy.
• Work closely with cross-functional teams, including product, engineering, and business teams, to understand data requirements and deliver solutions that meet business needs.
• Communicate complex data insights and technical details to non-technical stakeholders effectively.
• Provide technical guidance and mentorship to junior data engineers and analysts.
• Stay current with the latest trends and technologies in data engineering and analytics.
• Continuously evaluate and implement new tools and technologies to improve data processing, analysis, and visualization capabilities.
• Drive the adoption of best practices in data engineering and analytics across the organization.

Senior Data Analytics Engineer