Key skills
PythonSQLRETLAnalyticsLookerTableauAWSLeadershipCommunication
About this role
Coinbase is on a mission to increase economic freedom in the world, and they are seeking a Senior Analytics Engineer to lead insights into their quality assurance and knowledge management functions. The role involves improving customer experiences through data analysis, developing self-service tools, and collaborating with stakeholders to manage an analytic roadmap.
Responsibilities:
- Improve customer experiences by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights
- Collaborate with stakeholders to manage a long-term analytic roadmap that balances the tactical and strategic needs of the business
- Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers
- Drive the vision, building, and adoption of self-service analytic capabilities; develop these capabilities at scale
- Understand data resources and know when, how, and which best to use for each project
- Ability to frame and break down complex business problems into key components and recommend practical solutions
- Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements
- Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement
- Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs
- Maintain a high bar for statistical rigor on your team; ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders
Requirements:
- 5+ years of relevant data analytics experience in an operational environment, with a strong focus on quality measures
- Experience transforming unstructured data into actionable insights, outlier based agent performance management, and web analytics
- Professional experience using advanced SQL and data modeling skills to process large, complex datasets
- Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)
- Excellent written and verbal communication skills, including experience meeting with and communicating information to senior leadership
- Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams
- Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs
- Report automation experience (e.g. using Python, R)
- Knowledge of AWS services and cloud computing
- Experience with descriptive and inferential statistics
- Experience with financial industry regulations