COVID-19 Update:We are committed to protecting the health and safety of our current Britelings and those considering a career at Eventbrite. All of our employees are currently in a remote work environment and we will continue to adapt as we closely monitor COVID-19.

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Principal Analytics Engineer

Remote, United States

Principal Analytics Engineer

  • Remote, United States
  • Full-time


Eventbrite has the world’s largest data repository of live events, powering millions of events and hundreds of millions of ticket transactions each year in 170+ countries. The mission of the Analytics Platform  team is to enable internal users (Product Analysts, Data Scientists, Data Analysts, Business Analysts, Marketing Analysts) as well as event creators and attendees to leverage our data assets in order to drive business growth.   The Analytics Platform team is challenged with building high-performing data marts, implementing self-service data visualization solutions, and functioning as the resident data experts at Eventbrite.


The Analytics Platform team is responsible for building a scalable, reliable and extensible platform to power data-driven decisions and products at all levels of the business. We are a small team with an oversized impact on the company’s results. 


The Principal Data Analytics Engineer role will define and promote our data-driven culture, providing thought leadership for Product, Finance, Data Science, Marketing, and Engineering to help make thoughtful decisions and engage in best practices. You will drive key decisions around how we work with Data at Eventbrite, both within the Data Strategy Organization and for the broader company, including taking ownership of the database design for in-product reports and driving validation efforts. This will include creating new data models as well as improving existing databases. You will have the authority to establish best practices for tracking and instrumentation -- linking product development and marketing goals to the data we collect. This is a great opportunity to advise our Product, Engineering, and Marketing teams on best practices as well as shape the future landscape of data at Eventbrite, including what tooling and instrumentation we use (e.g. Amplitude vs Mixpanel). 

This role will align closely with Analytics Engineering, Data Engineering, Data Science, Product, and Marketing, serving as an established technical leader and in-house data expert, and enabling these teams to make forward-thinking, data-driven decisions. You’ll work on exciting projects that touch all parts of our data ecosystem, including working with technologies such as Python, SQL, Spark, Presto, Hive, Luigi, Airflow, MySQL, Redis, Superset, and Tableau.


  • 5-7 years professional work experience in a technology, start-up, data warehousing, or other analytical role
  • Advanced experience writing, optimizing and validating SQL queries
  • Experience with designing, building and managing data marts using knowledge of data warehouse principles, architectures and technologies
  • Hands-on experience supporting ETL pipelines with an an eye towards performance and maintainability
  • High proficiency in dimensional modeling techniques and their applications
  • Knowledge of “big data” technologies such as Spark, Presto, Hadoop Ecosystem, and Hive
  • Experience working with business partners to understand business problems and help to devise scalable solutions to meet their needs
  • Attentive to detail with strong quality control, especially in regard to large-scale data changes
  • Solid problem solving and analytical skills; able to quickly digest any issue/problem encountered and recommend appropriate solution options
  • Ability to analyze business requirements in various business functional areas and translate them into conceptual, logical and physical data models 
  • Collaborate with peers to find solutions to complex problems. Share knowledge with your peers and also learn from them as required
  • Support conclusions with analytical evidence using descriptive statistics, basic inferential statistics, and data visualizations
  • A passion for correctness with off-the-chart problem solving and analytical skills
  • Development experience in Python, Java, or Scala


  • Experience with Amazon cloud technologies including Amazon RedShift, S3, and Elastic MapReduce
  • Knowledge of data mining and/or machine learning
  • Understanding of web technologies (like APIs and HTTP) and popular web formats (like JSON and HTML)
  • Experience with source code and knowledge repositories such as git, jira, or equivalent systems.
  • Ability to coach analysts and data scientists on software engineering best practices (e.g., building testing suites and CI pipelines)
  • Experience building software tools that help data scientists and analysts work more efficiently (e.g., writing an internal R or Python tooling package for analysts to use)
  • Demonstrated experience working in large-scale data environments which include real-time and batch processing requirements (using Spark, Presto, and Hive)


Eventbrite is a the world’s largest self-service ticketing platform, powering millions of live experiences each year. We empower creators of events of all shapes and sizes – from music festivals, experiential yoga, political rallies to gaming competitions –– by providing them the tools and resources they need to seamlessly plan, promote, and produce live experiences around the world. Last year, the team served 795,000 creators hosting nearly 4 million experiences across 170 countries. Our mission? To bring the world together through live experiences. Meet some of the Britelings that make it happen.


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Eventbrite is a proud equal opportunity/affirmative action employer supporting workforce diversity.  We do not discriminate based upon race, ethnicity, ancestry, citizenship status, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, registered domestic partner status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, political affiliation, status as a victim of domestic violence, assault or stalking, or other applicable legally protected characteristics.

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