Staff, Analytics Engineer

About the Role

The role of an Analytics Engineer at Twilio is multifaceted, encompassing not only technical expertise but also the ability to communicate complex data insights to both technical and non-technical stakeholders. You will be part of a vibrant team that values diversity, inclusion, and remote-first work culture, offering the opportunity to make a global impact from the comfort of your home. With Twilio's commitment to innovation and customer experience, this position presents a unique chance to apply your skills in a dynamic and forward-thinking environment.

Working in a company that prioritizes connection and opportunities to build relationships with customers and colleagues, you may be required to travel occasionally for project or team meetings, although the role is primarily remote. This blend of remote work and occasional in-person interactions offers a balanced approach to collaboration and teamwork.

What You Will Do

• Design and implement a formal business data layer in dbt, ensuring that data from multiple sources is centralized, reconciled, and serves as a single source of truth for GTM metrics.
• Collaborate with stakeholders within the GTM Operations team and Finance to define, document, and maintain alignment on key business metrics and data definitions.
• Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards.
• Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review.
• Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences.
• Ensure that all data engineering and analytics work adheres to the highest standards of quality, security, and compliance.
• Develop and maintain technical documentation for data models, data pipelines, and other analytics engineering components.
• Participate in the development of the team's technical roadmap and contribute to the evolution of Twilio's data analytics capabilities.
• Engage with cross-functional teams to identify and address data gaps, ensuring that business needs are met through data-driven solutions.
• Stay up-to-date with the latest trends and technologies in data engineering and analytics, applying this knowledge to continuously improve Twilio's data infrastructure and analytics capabilities.

What We Are Looking For

• Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline, with a preference for direct experience supporting GTM or sales analytics in a SaaS environment.
• Advanced expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using dbt.
• Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment.
• Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability.
• Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences.
• Experience with cloud-based data platforms and familiarity with agile development methodologies.
• A strong analytical mindset with the ability to analyze complex data issues and develop effective solutions.

Nice to Have

• Experience working in a remote-first company, with a deep understanding of the challenges and benefits of distributed teams.
• Knowledge of machine learning principles and experience with deploying models into production environments.
• Familiarity with data visualization tools and the ability to create compelling narratives with data.

Benefits and Perks

• Competitive pay and comprehensive benefits package, including health, dental, and vision insurance.
• Generous parental leave policy and ample wellness leave to support work-life balance.
• Retirement savings plan to help you plan for your future.
• Access to a wide range of professional development opportunities to enhance your skills and career growth.
• Flexible and remote work arrangement, allowing you to work from the comfort of your home or any location that suits you best.
• Occasional travel opportunities to connect with colleagues and customers in person.
• A culture that values diversity, inclusion, and employee satisfaction, recognizing the importance of a happy and engaged workforce.
• The chance to be part of a pioneering company in the digital communications space, making a real impact on how businesses interact with their customers.

• Highlight your SQL and dbt skills: Showcase your expertise in data modeling and pipeline orchestration to stand out as a strong candidate.
• Prepare to talk about data quality and testing: Be ready to discuss your experience with implementing robust data quality frameworks and testing methodologies.
• Emphasize your ability to communicate complex data insights: Demonstrate how you can convey technical information to non-technical audiences, a crucial skill for this role.
• Showcase your experience with cross-functional teams: Highlight any experience you have working with sales, finance, and other stakeholders to align on business metrics.
• Be prepared to discuss your approach to mentorship and knowledge sharing: As you will be guiding junior team members, be ready to talk about how you approach mentorship and sharing technical knowledge.
• Research Twilio's products and mission: Show your enthusiasm for the company's innovative approach to digital communications and how your skills align with their goals.
• Consider preparing examples of data projects you've led or been a part of: Having concrete examples of your work can help illustrate your skills and experience to the interviewer.