Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 4 SQL @ 4 Looker @ 6 R @ 4 Statistics @ 4 Tableau @ 6 ETL @ 4 Leadership @ 4 AWS @ 4 Communication @ 4 Experimentation @ 4 Web Analytics @ 4 Cloud Computing @ 4Details
At Coinbase, our mission is to increase economic freedom in the world by building the emerging onchain platform and shaping the future global financial system.
The Coinbase Customer Experience (CX) organization focuses on eliminating customer defects, driving efficiency through automation, and optimizing support operations. This role is for a Senior Analytics Engineer to lead quality assurance and knowledge management insights, transforming data into measurable actions to improve customer experiences.
Responsibilities
- Develop high-impact customer experience metrics, self-service tools, and deep analyses driving actionable insights
- Collaborate with stakeholders to manage an analytic roadmap balancing tactical and strategic business needs
- Identify opportunity areas for improvement through deep dive investigations and processes
- Drive vision, building, and adoption of scalable self-service analytic capabilities
- Utilize and understand data resources appropriately for each project
- Break down complex business problems and recommend practical solutions
- Monitor key performance metrics to identify actionable opportunities for performance improvement
- Foster a collaborative team environment encouraging innovation and continuous improvement
- Develop and support analytical technologies for timely and structured data access
- Guide code reviews and provide expertise in SQL and Python, create well-maintained ETL jobs
- Maintain high statistical rigor, ensuring experimentation and causal analyses build stakeholder confidence
Requirements
- 5+ years data analytics experience in operational environments focused on quality measures
- Experience transforming unstructured data into actionable insights, agent performance management, web analytics
- Advanced SQL and data modeling skills for large, complex datasets
- Proficient in data visualization tools (Looker, Tableau, QuickSight, etc.)
- Excellent communication skills, experienced in briefing senior leadership
- Highly collaborative, adept at securing input across cross-functional teams
- Strategic thinking with ability to formulate and execute analytical solutions
Nice to Haves
- Report automation experience (Python, R)
- Knowledge of AWS and cloud computing
- Experience with descriptive and inferential statistics
- Knowledge of financial industry regulations
Benefits
- Medical, dental, and vision plans with employee contributions
- Health Savings Account with company contributions
- Disability and life insurance
- 401(k) plan with company match
- Wellness and connectivity stipends
- Volunteer time off
- Fertility counseling and benefits
- Generous time off and leave policies
- Option to be paid in digital currency
Pay Range: $167,280 — $196,800 USD annually, with target bonus, equity, and benefits included.