Staff Business Intelligence Engineer
WFA Digital Insight
As the demand for data-driven decision making grows, companies like Twilio are seeking experts who can transform data into actionable insights. With the global analytics market projected to reach $49.5 billion by 2027, skilled business intelligence engineers are in high demand. This role stands out for its focus on pioneering agentic AI capabilities and enabling self-service analytics across the company. With Twilio's commitment to remote work, this is an exciting opportunity for candidates who value flexibility and are passionate about driving business outcomes through data. Before applying, candidates should be prepared to showcase their technical expertise, business acumen, and ability to collaborate with cross-functional teams.
Job Description
About the Role
The Staff Business Intelligence Engineer plays a critical role in transforming Twilio's data into a strategic asset. As a key member of the Enterprise Data team, this individual will lead the development of the company's business intelligence platform, driving governance, performance, and long-term roadmap decisions. The successful candidate will have a unique opportunity to work with a talented team of data engineers, business partners, and AI/ML engineers to deliver high-impact analytics and drive business outcomes.Twilio's Enterprise Data team is responsible for building the analytical foundation that the entire company depends on. This team owns the platforms, pipelines, and data products that help business partners move with confidence. As a Staff Business Intelligence Engineer, you will be at the forefront of this effort, driving innovation and excellence in business intelligence.
The ideal candidate will have a strong technical background, excellent communication skills, and the ability to collaborate with cross-functional teams. They will be passionate about data-driven decision making and have a proven track record of delivering scalable, reusable dashboards and reports that surface actionable insights for stakeholders.
What You Will Do
- Own and evolve Twilio's suite of business intelligence tools, driving governance, performance, and long-term roadmap decisions
- Design and build scalable, reusable dashboards and reports that surface actionable insights for stakeholders across legal, billing operations, and other mission-critical business functions
- Architect and deploy agentic AI solutions that enable natural language querying, automated insight generation, and self-service analytics for non-technical business partners
- Collaborate with data engineers, business partners, and AI/ML engineers to translate complex analytical requirements into reliable, well-documented data products
- Establish and champion BI best practices, including semantic layer design, metric definitions, data access governance, and documentation standards
- Partner with business leaders to identify opportunities where better data visibility can drive meaningful outcomes, and prioritize accordingly
- Manage and administer enterprise BI platforms (Tableau, Looker, Superset, or similar)
- Develop and maintain strong relationships with stakeholders across the company
- Stay up-to-date with industry trends and emerging technologies in business intelligence and data analytics
What We Are Looking For
- 7+ years of experience in business intelligence, data analytics, or a related field, with at least 2 years in a staff or senior individual contributor role
- Proven experience managing and administering enterprise BI platforms (Tableau, Looker, Superset, or similar)
- Strong SQL skills and experience with data modeling in a modern data warehouse (e.g., Snowflake, Athena, etc.)
- Track record of delivering self-service analytics capabilities that reduced dependency on centralized data teams
- Experience working directly with business stakeholders to define requirements and translate them into scalable data products
- Strong technical background, with expertise in data engineering, data architecture, or a related field
- Excellent communication skills, with the ability to collaborate with cross-functional teams
- Passion for data-driven decision making and a proven track record of driving business outcomes through data
Nice to Have
- Experience with dbt or similar semantic/transformation layers
- Familiarity with Python for analytics automation or data pipeline work
- Experience with LLMs, AI agents, or other AI technologies applied to analytics use cases
- Familiarity with data governance frameworks and access control best practices
Benefits and Perks
- Competitive compensation package
- Opportunities for professional growth and development
- Flexible work arrangements, with the option to work remotely
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Comprehensive benefits package, including health insurance, retirement savings, and paid time off
- Opportunity to work with a talented team of data engineers, business partners, and AI/ML engineers
- Chance to drive business outcomes and make a meaningful impact on the company's success
How to Stand Out
- Tip: Showcase your technical expertise in business intelligence, data analytics, and data engineering, highlighting specific tools and technologies you've worked with.
- Tip: Demonstrate your ability to communicate complex technical concepts to non-technical stakeholders, using examples from your previous experience.
- Tip: Prepare to discuss your experience with data governance, data quality, and data security, and how you've addressed these issues in previous roles.
- Tip: Highlight your passion for data-driven decision making and your ability to drive business outcomes through data, using specific metrics or KPIs to demonstrate your impact.
- Tip: Be prepared to walk through your approach to building scalable, reusable dashboards and reports, and how you've optimized your workflow for efficiency and effectiveness.
- Tip: Research Twilio's company culture and values, and be prepared to discuss how your skills and experience align with their mission and goals.
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