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Principal Analytics Engineer

Twilio LogoTwilio
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This position is needed to lead analytics engineering for our TDA R&D Analytics team supporting Flex, Marketing Campaigns, Segment and Twilio Engage product team.

The TDA R&D Analytics team supporting Flex, Marketing Campaigns, Segment and Twilio Engage is growing and seeking a seasoned Principal, Analytics Engineer.  This role will be a key contributor on the team and lead the efforts to expand the use of our underlying data infrastructure and business intelligence platforms.  You will lead the vision, strategy, and execution for the team’s data stack looking for opportunities to optimize data pipelines, apply engineering best practices for data models, and improve analytical capabilities via our dashboard / reporting tools.  This role will also serve as the team technical lead by developing best practices, technical oversight, and team skill development.  

Responsibilities

Data Modeling / Transformation:

  • Serve as the TDA R&D Analytics data lead working with the centralized data teams to optimize data pipelines and common data models in Snowflake and S3/Presto
  • Be a champion of “data as a product” and strive to build robust and scalable data products
  • Use your advanced data skills building data models for consumption by a team of data scientists, data analysts, and our internal data consumers
  • Build ad-hoc SQL queries as needed to support projects and complex business analysis
  • Implement procedures and standards around data reliability, accuracy, and availability
  • Implement DataOps best practices for versioning, testing, and production support
  • Improve data literacy through documentation and data consumer training
  • Tech Stack: Snowflake, Presto, DBT, SQL, Python, GitHub

Business Intelligence:

  • Be the team architect and champion for the business intelligence tools
  • Develop best practices, standards, and optimization of the different tools for specific use cases
  • Lead the complex engineering efforts to build dashboards and data visualizations that create valuable insights supporting business decisions
  • Compose business and technical documentation to improve data literacy across the organization lifting the self-service analytical capabilities of our stakeholders
  • Tech Stack: Tableau, Looker, Mixpanel

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:

  • 8+ years of professional experience as a hands-on, analytics / business intelligence engineer
  • Ability to think strategically and initiate, refine and complete projects proactively with minimal guidance and to supervise data analysts and data scientists with their projects
  • Expert knowledge building complex, scalable cloud-based systems, data pipelines, and data modeling
  • Expert knowledge of SQL, data modeling, ETL development, and data warehousing
  • Expert knowledge of BI tool architecture, functions, and features
  • Strong Python skills for data analysis and visualization
  • Strong in Tableau and Looker (LookML) including cloud server management, user access management, site and group management.
  • Experience designing BI architecture to power a variety of uses cases, including machine learning, data analytics and visualization
  • Ability to work with large data sets and optimize performance of analytical solutions
  • Experience with compliance, audit, user access control process and data governance
  • Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
  • Experience in project management and Agile delivery methods

Desired:

  • SaaS industry experience
  • Expertise in Snowflake and dbt
  • Familiar with Presto
  • Deep expertise in Tableau and Looker
  • Familiar with Mixpanel

The estimated pay ranges for this role are as follows:

  • Based in Colorado: $160,080 - $200,100 USD
  • Based in New York, Washington State, or California (outside of the San Francisco Bay area): $169,520 - $ 211,900 USD
  • Based in the San Francisco Bay area, California: $108,320 - $235,400 USD

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