Job Description

Title: Staff Business Intelligence Engineer

Location: United States

The Community You Will Join:

As a Staff BI Engineer at Airbnb, you will be part of a vibrant community that collaborates with various cross-functional partners. You will work closely with teams such as Analytics Engineering, Data Platform Products, and distributed Analytics teams. These partnerships will enable you to contribute to the success of Airbnb by leveraging your expertise in data visualization, data modeling, and mentoring others in best practices. By working together with these teams, you will help drive data-driven decisions and optimize processes across the organization.

The Difference You Will Make:

Your expertise in Business Intelligence will play a crucial role in shaping data-driven decision-making processes across the organization. By developing and maintaining high-quality data solutions, you will empower teams to make informed decisions, optimize processes, and drive business growth. Your work will have a direct impact on the success of Airbnb and the experiences of millions of users worldwide.

A Typical Day:

On a typical day, you might start by reviewing the latest data requirements from various teams, prioritizing tasks, and planning your day accordingly. You could spend time developing new data models, optimizing existing ones, or collaborating with team members to troubleshoot issues. You may also work on data visualization using Tableau and/or Superset, creating insightful dashboards and reports to help drive data-driven decisions. Additionally, you will take on a mentoring role, guiding others in data visualization best practices and sharing your expertise. Throughout the day, you may attend meetings with stakeholders to discuss project progress, gather feedback, and ensure alignment with business objectives.

Your Expertise:

  • Develop, maintain, and optimize business intelligence solutions, including data models, dashboards, and reports.
  • Collaborate with cross-functional teams to gather requirements and ensure data solutions meet business needs.
  • Ensure data quality and integrity by implementing data validation and monitoring processes.
  • Provide technical expertise and guidance to team members and stakeholders.
  • Continuously improve data processes and tools to enhance efficiency and scalability.
  • 9+ years of industry experience with a BS/Masters degree or 6+ years with a PhD.
  • Strong skills in SQL, data modeling, and data visualization tools (e.g., Tableau).
  • Experience with ETL processes and tools (e.g., Airflow).
  • Proficiency in at least one programming language for data analysis (e.g., Python, R).
  • Excellent problem-solving, communication, and collaboration skills.