Senior Analytics Engineer, BizTech

Job title: Senior Analytics Engineer, BizTech in San Francisco, CA at Airbnb

Company: Airbnb

Job description: The Community You Will Join:As a Senior Analytics Engineer at Airbnb, you will be an integral part of a vibrant community that empowers data-driven decision-making across the organization. You will work collaboratively with teams including Analytics Engineering, Data Platform Products, and distributed Analytics teams to craft and optimize scalable data solutions. You will have ownership of critical metrics and Midas models required for Investor Relations reporting, leveraging your expertise to deliver trusted and impactful data products.The Difference You Will Make:

• Your expertise will enable self-serve consumption of reliable metrics and dashboards while supporting Investor Relations reporting and company-wide analytics


• You will proactively shape Airbnb's data ecosystem by designing robust data foundations and processes


• Your contributions will drive scalability, efficiency, and cohesion in analytics, ultimately influencing Airbnb's business strategy and organizational growth

A Typical Day:On a typical day, you may interface with cross-functional partners to gather data requirements, prioritize tasks, and plan your day. You'll architect and implement new data models, such as Minerva assets, that address critical business verticals and Investor Relations priorities. You'll maintain Midas metrics architecture for company-wide reporting while developing dashboards in Tableau or Superset to enhance self-serve capabilities. Additionally, you'll troubleshoot issues, contribute to long-term infrastructure visioning, and lead technical discussions with stakeholders. Throughout the day, you'll mentor other team members, ensuring alignment with best practices and excellence in analytics.How You'll Make a Difference:

• Develop Scalable Solutions: Architect, build, and maintain critical metrics and reliable pipelines using tools like Spark, Presto, Tableau, and Airflow


• Champion Data Excellence: Contribute leadership in metrics design and dimensional modeling practices, including adherence to Midas


• Drive Collaborative Impact: Proactively partner with Data Engineering, Platform, and Business vertical teams, ensuring data strategy aligns with business goals


• Innovate Reporting Practices: Enrich frameworks for experimental design in predictive modeling workflows to broaden the impact of analytics across functions


• Lead Organizational Strategy: Balance long-term vision for data architecture by tracking dependencies and critical roadmaps

Your Expertise:

• 6+ years of relevant industry experience


• Expertise in distributed data processing systems (e.g., Spark, Presto) and pipeline optimization


• Advanced SQL and data modeling mastery, with familiarity in database schema and dimensional modeling


• Strong programming skills in Python (experience in Scala preferred)


• Passion for creating trusted metrics and self-serve dashboards


• Familiarity in visualization tools (e.g., Tableau, Superset)


• Experience with an ETL framework like Airflow

Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:

• Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.


• We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at:

. Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process. * We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Expected salary:

Location: San Francisco, CA

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