Senior data analyst (L3)

See yourself at Twilio

Join the team as Twilio’s next Senior Data Analyst - Strategy and Operations

Who we are & why we’re hiring

At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.

Our dedication to remote-first work, and strong culture of connection and global inclusion mean that no matter your location, you’re part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.

About the job

This position is in the Enterprise Strategy and Operations team within Twilio. As a senior analyst in this org, you will partner with cross functional teams across Finance, GTM, Marketing, Product, etc. to deliver growth initiatives and operational excellence through data driven projects. You will work closely with engineering teams to build automated datasets, key metrics, provide easy-to-consume reporting and analysis to business stakeholders across the company, and be a key partner in driving Twilio’s operational strategy.

Our team has analysts supporting a large variety of departments around the company. Though each team member’s specific projects may differ, our team is built to foster an environment where everyone helps each other, we all grow together, and we empower Twilio with data insights, self service reporting, analytical solutions, and teaching best practices.

Responsibilities

In this role, you’ll:

• Conduct multi-disciplinary analysis to identify insights that help drive revenue growth initiatives and work cross-functionally to get the initiatives implemented
• Develop data products that improve efficiency of partner teams and identify right key metrics to assess performance for different functional teams
• Develop data process automation workflows to improve effectiveness of stakeholders analytics processes.
• Be a true partner to stakeholders, understand real questions behind requests and advocate for the best long term solutions.
• Be a true self starter who identifies needs, writes documentation for others, and takes ownership over analytic products that may require inputs from multiple stakeholders. 
• Partner with various business units including Finance, Go to Market, Data Engineering etc. 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, as well as coach business stakeholders to promote a data savvy culture in the organization.

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 5+ years of professional experience in developing technical BI and data analytics solutions in a fast paced industry. 
• Experienced in machine learning and Data science, particularly advanced forecasting techniques through either R or Python.
• Experience working with SQL and relational and multidimensional database schemas and designs.
• Extensive experience with Tableau and/or Looker.
• Proven ability to map out problem solving frameworks and make strategic recommendations based on data to leadership.
• Awareness of latest updates in industry such as Large Language Models (LLMs), Retrieval Augmented Generation, Robotic Process Automation concepts etc.

Desired:

• Experienced in project management and communicating requirements to Engineering teams.
• Some experience in data engineering stack. E.g. working with workflow orchestration tools and Spark
• Experienced in working with dispersed teams located across the globe.
• Experience working in a SaaS based company.

Location

This role will be remote in the US but is not eligible to be hired in the states of CA, CT, NJ, NY, PA or WA.

Travel 

We prioritize