Senior Analytics Engineer

THE CHALLENGE

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 Analytics Engineering team’s mission is to provide self service tools and data assets that serve as the common foundation for enabling analytics and insights at Eventbrite. We are looking for a strong individual contributor who can help us develop the next generation analytics platform for Eventbrite.

THE TEAM

Our Analytics Engineering team is centralized within the Data Organization and partners closely with the Data Platform Engineering,cross-functional product analytics teams and greater engineering org to connect the dots between analytics needs and our existing supply of data. The Analytics Engineering team enables multiple user personas with varying levels of data literacy/savviness across the entire business. Key “data products” owned by the Analytics Engineering team include various data marts, transformations/business logic to convert source data to consumable metrics/dimensions, and enablement around what data exists, how to leverage it, and everything in between. We conquer significant problems by putting our heads together, learning, supporting and mentoring each other to reach greater heights across the Data Org and across various functions within the company. We're continuously exploring, developing, and testing innovative approaches to elevate our impact and drive data excellence in the organisation.

Team members follow an on-call rotation to ensure any issues are mitigated immediately and root causes are rectified.

THE ROLE

• Design and build new data products and revamp legacy models that enhance business analytics and reporting capabilities across the Eventbrite

• Enable functional analytics team to deliver key dashboards and reports. You’ll own the development of metrics, data models and the underlying logic that powers the dashboards and reporting designed by our functional data partners, which in turn supports strategic decision-making by leadership

• Collaborate cross functionally to revamp data models that power business critical internal and customer-visible metrics

• Deliver data marts and ETL processes that enhance self service analytics capabilities for a diverse set of users/use cases

• Define standards and best practices for improving data quality and automation

• Translate data consumption needs into requirements and technical specifications for source data and transformations

• Enable data driven thinking and help elevate data literacy across the company

THE SKILL SET

• Outstanding interpersonal and communication skills

• Strong analytical, problem solving and critical thinking skills

• Proficiency with data languages, tools, and techniques and how to leverage them for impact including Snowflake, DBT, Airflow, BI/Viz Tools

• Ability to synthesize common data models and actionable frameworks from diverse analytical needs for technical and non technical stakeholders

• Ability to analyze business requirements in various business functional areas and translate them into conceptual, logical and physical data models 

• Understanding dimensional modeling techniques and their applications

• Advanced experience writing, optimizing and validating SQL queries; good command of Python

• 3-5 years hands on experience building, running and supporting ETL pipelines on large scale data sets

• Good command of database optimization and scaling approaches

• Experience working in Agile framework 

• Attentive to detail with strong quality control, especially in regard to large-scale data changes

• Bonus: Active Eventbrite user with a passion for live events