À propos
Recruit, mentor, and cultivate a skilled analytics engineering team, collaborating across departments such as finance, CX, HR, compliance, and data science.
Data Model Architecture:
Lead the design of fundamental data models, providing technical guidance and direction to expert modelers while assuring scalability and reliability.
Data Quality Assurance:
Establish and maintain rigorous testing, monitoring, and validation processes to ensure data accuracy and consistency.
Domain Expertise Development:
Deepen understanding of finance, CX, HR, compliance, and product data, creating tailored data marts and tools that address specific business challenges.
AI and LLM Integration:
Investigate how LLMs and AI can transform analytics and develop foundational data structures that support these innovations.
Maximizing Data Impact:
Work with stakeholders to enhance data utilization through scalable models, optimized pipelines, and integrated data across products.
Driving Results:
Supervise the development of dashboards, ad-hoc analytics, and self-service tools that empower teams to make informed decisions.
Outcome Focus:
Apply suitable frameworks and technologies to deliver value using data abstractions, internal applications, or streamlined workflows.
What We Are Looking For: We are in search of a hands-on leader to establish and oversee the Analytics Engineering team that supports finance, CX, HR, compliance, and various product groups. You will create domain-specific data marts, analytics solutions, and tools that advance our products and business strategies, all while adhering to best practices in data engineering. This role offers you the chance to shape the future of analytics, especially as we integrate LLMs and AI-driven insights. Success in this position requires a combination of leadership, technical skills, customer focus, and a product-oriented mindset. Here are the traits we value: Leadership in Team Building:
Established experience in hiring and managing data teams, effectively motivating and developing talent.
Passion for Problem Solving:
A strong drive to tackle complex challenges and an eagerness to learn new programming languages or explore unfamiliar datasets.
AI-Driven Enthusiasm:
A keen interest in exploring the roles of LLMs and AI in analytics, with innovative ideas on preparing for an AI-empowered future.
Technical Leadership:
Expertise in balancing hands-on work with strategic leadership duties.
Data Modeling Proficiency:
Expertise in data modeling, ETL/ELT processes, and modern data stack tools such as Airflow, DBT, Snowflake, and Hex.
Best Practices Knowledge:
Familiarity with version control, CI/CD methodologies, OOP principles, scalable framework development, and advanced SQL techniques.
Accountability and Independence:
The ability to work autonomously while taking full responsibility for your outcomes.
Business Insights:
Prior collaboration with product and data science teams to provide impactful analytics solutions, with an understanding of product objectives and challenges.
Effective Communication Skills:
Clear communication ability and the capacity to build support for your team's initiatives while fostering interdepartmental relationships.
Statistical Knowledge:
Strong command of statistics and probability, enhancing data interpretation, assumption validation, and supporting data-driven decisions.
Experience in CX and Compliance Analytics:
Familiarity with developing data solutions that assist customer experience and compliance operations.
Compensation Details:
Depending on your work location, the target annual salary for this role ranges from $243,865 to $286,900 USD. Full-time offers from Coinbase also include eligibility for bonuses, equity, and comprehensive benefits like medical, dental, vision, and a 401(k) plan. Equal Opportunity Commitment:
Coinbase is an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, or other protected statuses. For individuals requiring accommodations due to disability during the employment process, please reach out with details of your request. Global Data Privacy Notice:
In line with GDPR and CCPA, we outline how applicant data will be processed throughout the application process.
Compétences linguistiques
- English
Avis aux utilisateurs
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