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Lead Analytics EngineerCoinbase • United States
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Lead Analytics Engineer

Coinbase
  • US
    United States
  • US
    United States
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À propos

Are you ready to surpass your own limits and make a significant impact in the world of crypto? At Coinbase, we're driven by a mission to enhance economic freedom globally. This monumental opportunity calls for exceptional talent as we strive to build the evolving on-chain platform and shape the future of finance. We're looking for a passionate individual who believes in the transformative power of cryptocurrency and blockchain technology. If you're eager to leave a strong mark on the world, thrive under pressure, and enjoy collaborating with high-caliber colleagues while embracing feedback for continuous improvement, you might just be the perfect fit. We need someone who tackles challenging problems head-on. Our work culture is dynamic and intense, but if you're ready to forge the future alongside others who excel in their fields and seek the same from you, this is your opportunity. While many positions at Coinbase offer remote flexibility, this role requires in-person participation throughout the year, with team and company-wide offsites held multiple times annually to foster collaboration and connection. The Analytics Engineering team plays a crucial role in connecting data engineering, data science, and business analytics by creating scalable, impactful data solutions. We convert raw data into actionable insights through reliable pipelines and well-structured data models, empowering stakeholders to make informed, data-driven decisions. What You Will Do: Become the Expert:
Gain in-depth knowledge in a specific business area and data domain by mastering data flows from creation to delivery. Generate Business Value:
Collaborate with data and product teams to unlock the highest commercial potential from data. Focus on Outcomes:
Utilize diverse frameworks and tools to deliver significant value, ensuring the maintainability of outputs. What We Look For: Data Modeling Expertise:
Proficient in designing modular and reusable data models. Advanced SQL Skills:
Strong command of SQL for data transformation and optimization. Intermediate to Advanced Python:
Experienced in automation, scripting, and building scalable frameworks. Collaboration Skills:
Ability to communicate technical concepts effectively for cross-functional understanding. Data Pipeline Development:
Expertise in developing and optimizing ETL/ELT pipelines. Data Visualization:
Proficient in creating dashboards with tools like Looker or Tableau. Business Acumen:
Capacity to address business challenges through analytics engineering. Bonus Skills: Experience with cloud platforms, such as AWS or GCP. Familiarity with Docker or Kubernetes. Join us in building a future where economic freedom is a reality for everyone!
  • United States

Compétences linguistiques

  • English
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