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Puffer
Blockchain Data Analyst
at Puffer
12 days ago | 189 views | 3 applications

Blockchain Data Analyst

Full-time
Remote
Per year
$27,000 To $87,000

About the company

At Puffer, our mission is to increase blockchain ecosystems' security, decentralization, and sustainability. We are a group of hardworking enthusiasts deeply focused on building and democratizing the future of Ethereum. Imagine a world where regular individuals can contribute to the Ethereum network with less risk and more rewards. That is our reality. At Puffer, you’ll have the opportunity to be part of a team that is building state-of-the-art technology that will reshape the landscape.

Job Summary

Key Responsibilities

📍Analytics System Development: Design and build comprehensive analytics systems from the ground up. This includes data collection, creating dynamic dashboards, and responding to ad-hoc queries to support strategic decision-making. 📍Data Management: Efficiently gather and analyze large sets of data related to blockchain operations, particularly focusing on staking services and validator performance. 📍Performance Monitoring: Track and analyze the performance of blockchain validators to optimize operational efficiencies and profitability. 📍Stakeholder Reporting: Develop regular reports for internal stakeholders to communicate key metrics and insights in a clear and actionable manner. 📍Innovation and Improvement: Continuously propose improvements to the data analytics processes and tools based on latest industry trends and internal feedback. 📍Cross-Functional Collaboration: Work closely with the tech and business development teams to ensure alignment of analytics with overall business goals.

Qualifications

📍Bachelor’s or master’s degree in Mathematics, Economics, or a closely related field with a strong quantitative focus. 📍At least 2 years in crypto analytics or a similar role within the blockchain industry, with prior experience at a staking service provider highly preferred. 📍Proven ability to develop and manage analytical systems independently. 📍Strong proficiency in data analysis tools and programming languages commonly used in the industry (SQL, Python, R). 📍Skilled in creating and managing dashboards and complex data sets. 📍Strong analytical and problem-solving skills. 📍Excellent communication and interpersonal skills. 📍Ability to work independently and as part of a team. 📍Keen attention to detail and a commitment to delivering high-quality work.

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