Twilio9 дней назад
Staff, Business Intelligence Engineer
Зарплата не указана
Remote - US
Обязанности
- 01Utilize advanced analytical techniques to analyze large datasets, extract meaningful insights, and provide actionable recommendations to enhance revenue operations efficiency
- 02Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards
- 03Create compelling visualizations to effectively communicate complex data insights, making information accessible and actionable for a diverse audience
- 04Build and maintain data models to support GTM, helping the organization make informed strategic decisions
- 05Drive the automation of our business intelligence ecosystem by treating dashboards and semantic layers as code
- 06Leverage Git, automated testing frameworks, and CI/CD pipelines to ensure our data infrastructure is reproducible, version-controlled, and highly scalable
- 07Work closely with various teams, including Sales, Marketing, Finance, and Product, to understand business requirements and provide analytical support
- 08Identify opportunities to enhance data quality, reporting processes, and analytics tools to drive continuous improvement in data analysis capabilities
Требования
- 01Minimum 8 years of professional experience in business intelligence, analytics engineering, data engineering, or a related discipline
- 02Experience with business intelligence platforms such as Tableau, particularly in the context of executive reporting and sales analytics
- 03Advanced expertise in SQL and hands-on experience designing data models
- 04Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
- 05Proven track record of implementing robust data quality and testing frameworks, including expertise with CI/CD and data observability
- 06Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences
- 07Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Engineering, Mathematics, Economics)
- 08A software engineering mindset applied to data - understanding code reviews, automated testing, and environment separation (Dev/Staging/Prod)
- 09Experience with code-based BI and semantic tools to orchestrate data pipelines (e.g., Looker/LookML, dbt, Cube.js, or Apache Superset)
- 10Strong proficiency with Git version control and CI/CD tools (e.g., GitHub Actions, GitLab CI, Jenkins)
- 11Experience with AI products such as Claude, Cortex, Glean, Gemini
- 12Experience with GTM technology stacks (e.g., Salesforce, Gong, etc)
- 13Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization
Условия
- 01Remote work
- 02May be required to travel occasionally to participate in project or team in-person meetings
- 03Competitive pay
- 04Generous time off
- 05Ample parental and wellness leave
- 06Healthcare
- 07Retirement savings program
- 08Salary range: $141,520.00 - $176,900 for specific locations