Senior Analytics Engineer
Coinbase
Senior Analytics Engineer
Job Description
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
Required Qualifications
- 5+ years of relevant experience
- Advanced SQL and data modeling skills, Python experience a plus
- Proven track record of data analysis, reporting and visualization (Looker, Tableau, QuickSight, etc.)
- Excellent written and verbal communication skills are required, 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
Preferred Qualifications
- Report automation experience (e.g. using Python, R)
- Knowledge of AWS services and cloud computing
- Experience with descriptive and inferential statistics
- Experience with product analytics
- Experience with customer support metrics/data
Required Skills
- SQL
- data modeling
- Python
- data analysis
- reporting
- visualization (Looker, Tableau, QuickSight)
- written and verbal communication
- collaboration
- strategic thinking
- report automation (Python, R)
- AWS services
- cloud computing
- descriptive and inferential statistics
- product analytics
- customer support metrics/data
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$167280 - $196800 USD
Locations
- US Zone 1 (Job Requisitions Only), United States (Remote)
Salary
167,280 - 196,800 USD / yearly
Skills Required
- SQLintermediate
- data modelingintermediate
- Pythonintermediate
- data analysisintermediate
- reportingintermediate
- visualization (Looker, Tableau, QuickSight)intermediate
- written and verbal communicationintermediate
- collaborationintermediate
- strategic thinkingintermediate
- report automation (Python, R)intermediate
- AWS servicesintermediate
- cloud computingintermediate
- descriptive and inferential statisticsintermediate
- product analyticsintermediate
- customer support metrics/dataintermediate
Required Qualifications
- 5+ years of relevant experience (experience)
- Advanced SQL and data modeling skills, Python experience a plus (experience)
- Proven track record of data analysis, reporting and visualization (Looker, Tableau, QuickSight, etc.) (experience)
- Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership (experience)
- Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams (experience)
- Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs (experience)
Preferred Qualifications
- Report automation experience (e.g. using Python, R) (experience)
- Knowledge of AWS services and cloud computing (experience)
- Experience with descriptive and inferential statistics (experience)
- Experience with product analytics (experience)
- Experience with customer support metrics/data (experience)
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
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories
Senior Analytics Engineer
Coinbase
Senior Analytics Engineer
Job Description
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
Required Qualifications
- 5+ years of relevant experience
- Advanced SQL and data modeling skills, Python experience a plus
- Proven track record of data analysis, reporting and visualization (Looker, Tableau, QuickSight, etc.)
- Excellent written and verbal communication skills are required, 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
Preferred Qualifications
- Report automation experience (e.g. using Python, R)
- Knowledge of AWS services and cloud computing
- Experience with descriptive and inferential statistics
- Experience with product analytics
- Experience with customer support metrics/data
Required Skills
- SQL
- data modeling
- Python
- data analysis
- reporting
- visualization (Looker, Tableau, QuickSight)
- written and verbal communication
- collaboration
- strategic thinking
- report automation (Python, R)
- AWS services
- cloud computing
- descriptive and inferential statistics
- product analytics
- customer support metrics/data
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
Salary Range
$167280 - $196800 USD
Locations
- US Zone 1 (Job Requisitions Only), United States (Remote)
Salary
167,280 - 196,800 USD / yearly
Skills Required
- SQLintermediate
- data modelingintermediate
- Pythonintermediate
- data analysisintermediate
- reportingintermediate
- visualization (Looker, Tableau, QuickSight)intermediate
- written and verbal communicationintermediate
- collaborationintermediate
- strategic thinkingintermediate
- report automation (Python, R)intermediate
- AWS servicesintermediate
- cloud computingintermediate
- descriptive and inferential statisticsintermediate
- product analyticsintermediate
- customer support metrics/dataintermediate
Required Qualifications
- 5+ years of relevant experience (experience)
- Advanced SQL and data modeling skills, Python experience a plus (experience)
- Proven track record of data analysis, reporting and visualization (Looker, Tableau, QuickSight, etc.) (experience)
- Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership (experience)
- Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams (experience)
- Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs (experience)
Preferred Qualifications
- Report automation experience (e.g. using Python, R) (experience)
- Knowledge of AWS services and cloud computing (experience)
- Experience with descriptive and inferential statistics (experience)
- Experience with product analytics (experience)
- Experience with customer support metrics/data (experience)
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
Benefits
- general: bonus eligibility
- general: equity eligibility
- general: benefits (including medical, dental, vision and 401(k))
Tags & Categories