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Twilio - San Jose, CA
posted 2 months ago
Full-time - Mid Level
Onsite - San Jose, CA
Professional, Scientific, and Technical Services
About the position
The Senior Data Analyst - Strategy and Operations at Twilio will play a crucial role in partnering with cross-functional teams to drive growth initiatives and operational excellence through data-driven projects. This position involves working closely with engineering teams to build automated datasets and provide insightful reporting and analysis to business stakeholders. The analyst will also mentor junior analysts and promote a data-savvy culture within the organization.
Responsibilities
- Conduct multi-disciplinary analysis to identify insights that help drive revenue growth initiatives and work cross-functionally to implement these initiatives.
- Develop data products that improve efficiency of partner teams and identify key metrics to assess performance for different functional teams.
- Create data process automation workflows to enhance the effectiveness of stakeholders' analytics processes.
- Act as a true partner to stakeholders, understanding the underlying questions behind requests and advocating for the best long-term solutions.
- Take ownership over analytic products, identifying needs and writing documentation for others.
- Collaborate with various business units on requirements for new datasets and metrics.
- Work on process automation and optimization across teams in Twilio.
- Mentor junior analysts on the Business Intelligence team and coach business stakeholders to promote a data-savvy culture.
Requirements
- 5+ years of professional experience in developing technical BI and data analytics solutions in a fast-paced industry.
- Extensive experience with Tableau and/or Looker.
- Proven ability to make strategic recommendations based on data to leadership.
- Experience working with SQL and relational and multidimensional database schemas and designs.
- Experienced in machine learning and data science, particularly advanced forecasting techniques through either R or Python.
- Familiarity with project management and communicating requirements to Engineering teams.
- Some experience in data engineering stack, including workflow orchestration tools and Spark.
- Awareness of latest updates in the industry such as Large Language Models (LLMs), Retrieval Augmented Generation, and Robotic Process Automation concepts.
- Experienced in working with dispersed teams located across the globe.
Benefits
- Generous time-off
- Ample parental leave
- Wellness leave
- Healthcare coverage
- Retirement savings program
- Support for volunteering and donation efforts
