Staff Business Intelligence Engineer
WFA Digital Insight
The demand for skilled Business Intelligence Engineers has grown significantly in recent years, with remote work increasing the need for data-driven insights. As companies like Twilio continue to thrive in the digital landscape, experts who can transform data into strategic assets are in high demand. With the global analytics market expected to reach $40 billion by 2027, professionals with expertise in BI tools, data analytics, and AI are poised to drive business growth. At Twilio, innovation and remote-first work culture make it an attractive destination for top talent. Before applying, candidates should be prepared to showcase their technical expertise, collaboration skills, and ability to champion BI best practices.
Job Description
About the Role
The Staff Business Intelligence Engineer at Twilio plays a pivotal role in transforming the company's data into a strategic asset, making insights accessible, reliable, and actionable for every corner of the business. As part of the Enterprise Data team, you will be responsible for leading the BI platform strategy, managing reporting tools, delivering high-impact analytics, and pioneering agentic AI capabilities to enable self-service analytics across Twilio.The role involves working closely with data engineers, business partners, and AI/ML engineers to translate complex analytical requirements into reliable, well-documented data products. You will also collaborate with business leaders to identify opportunities where better data visibility can drive meaningful outcomes and prioritize accordingly.
Twilio's commitment to remote-first work and strong culture of connection and global inclusion means that you will be part of a vibrant team with diverse experiences, making a global impact each day.
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
- Develop and maintain technical documentation of BI platforms, tools, and data products
- Stay up-to-date with industry trends and emerging technologies in BI, data analytics, and AI
- Mentor junior team members and provide technical guidance and support
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, Power BI)
- Strong understanding of data modeling, data warehousing, and ETL processes
- Experience with agile development methodologies and version control systems (Git)
- Excellent communication, collaboration, and problem-solving skills
- Ability to work in a fast-paced environment and prioritize multiple projects simultaneously
- Strong analytical and problem-solving skills, with attention to detail and data-driven decision-making
Nice to Have
- Experience with cloud-based data platforms (AWS, GCP, Azure)
- Knowledge of machine learning and AI technologies (TensorFlow, PyTorch)
- Familiarity with DevOps tools and practices (Jenkins, Docker)
- Certification in BI or data analytics (Certified Business Intelligence Analyst)
Benefits and Perks
- Competitive salary and bonuses
- Equity and stock options
- Comprehensive health insurance and wellness programs
- Flexible PTO and vacation policy
- Remote work stipend and home office setup support
- Professional development and training opportunities
- Access to cutting-edge technologies and tools
How to Stand Out
- Emphasize your experience with BI tools and platforms, such as Tableau or Looker, and provide examples of dashboards and reports you've developed.
- Showcase your ability to work with stakeholders to identify business needs and develop data-driven solutions.
- Highlight your understanding of data modeling, data warehousing, and ETL processes, and be prepared to discuss your experience with these concepts.
- Prepare to discuss your experience with agile development methodologies and version control systems, such as Git.
- Be ready to provide examples of your ability to prioritize multiple projects simultaneously and work in a fast-paced environment.
- Showcase your knowledge of emerging trends and technologies in BI, data analytics, and AI, and be prepared to discuss how you stay up-to-date with industry developments.
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