Staff, Analytics Engineer

About the Role

The successful candidate will be a seasoned analytics engineer with a strong background in data modeling, data pipelines, and business intelligence. You will be responsible for collaborating with stakeholders across the organization to define, document, and maintain alignment on key business metrics and data definitions. Your technical expertise, combined with your ability to communicate complex ideas to both technical and non-technical audiences, will make you a valuable asset to the team.

Twilio's commitment to remote-first work and global inclusion means that you will be part of a vibrant team with diverse experiences, working together to make a global impact. You will have the opportunity to work with a talented group of professionals who are passionate about using data to drive business decisions.

What You Will Do

• Design and implement a formal business data layer in dbt to centralize and reconcile data from multiple sources
• Collaborate with stakeholders 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
• Mentor and guide members of the data science and analytics team to establish and enforce 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
• Partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment
• Develop and maintain data models and data pipelines using dbt
• Ensure data consistency and empower data-driven decision-making across the organization
• Stay up-to-date with industry trends and emerging technologies in data science and analytics

What We Are Looking For

• Minimum 8 years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline
• 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
• Proven track record of driving cross-functional alignment on key business metrics and data definitions
• Strong understanding of data modeling, data governance, and data quality principles
• Experience with cloud-based data platforms, such as AWS or GCP
• Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and non-technical stakeholders

Nice to Have

• Experience with data science and machine learning concepts, including predictive modeling and natural language processing
• Familiarity with Agile development methodologies and version control systems, such as Git
• Knowledge of data visualization tools, such as Tableau or Power BI
• Experience with containerization using Docker and Kubernetes

Benefits and Perks

• Competitive salary and equity package
• Comprehensive health, dental, and vision insurance
• Flexible paid time off and remote work arrangements
• Access to a wide range of professional development opportunities, including training and conference sponsorships
• A vibrant and diverse company culture that values innovation, inclusivity, and community involvement
• A remote stipend to support your home office setup
• A comprehensive benefits package that includes mental health support and employee assistance programs

• Tip: Highlight your experience with dbt and data modeling in your resume and cover letter to stand out as a strong candidate.
• Be prepared to showcase your technical skills, including SQL and data pipeline design, during the interview process.
• Research Twilio's company culture and values to demonstrate your understanding of the organization's mission and vision.
• Emphasize your ability to communicate complex technical concepts to non-technical stakeholders, as this is a key requirement for the role.
• Consider creating a portfolio of your work, including examples of data models and data pipelines you have designed and implemented, to share with the hiring team.
• Don't be afraid to ask questions during the interview process, such as what a typical day looks like in the role or what opportunities there are for professional development and growth.
• Be prepared to negotiate your salary and benefits package, and don't be afraid to walk away if the offer is not aligned with your expectations.