Über
Create and maintain foundational data models that act as the definitive source of truth for analytics throughout the organization. Deliver Actionable Insights:
Translate business requirements into efficient data models, dashboards, and tools that enable stakeholders to capitalize on business intelligence. Collaborate Across Teams:
Work seamlessly with engineering, data science, product, and business teams to ensure alignment and effective data solutions. Create Scalable Data Products:
Build frameworks, tools, and workflows designed to enhance efficiency while maintaining high data quality and performance. Focus on Delivering Outcomes:
Utilize modern development and analytics tools to provide value swiftly while ensuring sustainable practices. Your Role: The Analytics Engineer position is a hybrid role encompassing aspects of Data Engineering, Data Science, and Business Analysis. You will possess the technical skills to navigate data flows comprehensively and extract maximum value. Become an Expert:
Cultivate in-depth knowledge of a specific business area and data domain, understanding the complete data flow from creation to delivery. Generate Business Value:
Collaborate with different stakeholders to unlock maximum commercial potential from our data. Focus on Outcomes, Not Just Tools:
Employ various frameworks to determine the best tools for delivering value. What We Look For: Data Modeling Expertise:
Strong grasp of best practices for designing modular and reusable data models. Prompt Design and Engineering:
Skill in creating and optimizing prompts for LLMs to enhance accuracy and performance. Advanced SQL Skills:
Proficient in SQL for data transformation and optimization. Intermediate to Advanced Python:
Knowledge of scripting, automation, and building scalable frameworks. Collaboration and Communication:
Ability to convey technical concepts in a business context and manage cross-team projects effectively. Data Pipeline Development:
Experience in building and optimizing ETL/ELT pipelines with modern tools. Data Visualization:
Proficiency in creating data dashboards using tools like Looker or Tableau. Development Tools Familiarity:
Knowledge of version control, CI/CD, and modern workflows. Data Architecture Understanding:
Familiarity with contemporary data lake and warehouse architectures. Business Acumen:
Ability to address business challenges through analytics. Statistical Knowledge:
Basic understanding of statistics and probability. Bonus Skills: Experience with cloud platforms like AWS or GCP. Familiarity with Docker or Kubernetes. Your contributions will directly impact our ability to leverage data effectively. We invite you to embrace the challenge and join us in building the future. Pay Transparency Notice:
Salary range for this position is $180,000-$212,000 USD, plus bonus eligibility and comprehensive benefits. Disclaimer: Applying does not guarantee consideration for the position. We assess qualifications during the interview process. Commitment to Equal Opportunity:
Coinbase is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to any protected status. Coinbase is dedicated to providing reasonable accommodations for individuals with disabilities. For assistance, please contact us.
Sprachkenntnisse
- English
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