Staff Analytics Engineer, Airbnb
Users & Contextualization Data & AI
$194-240k
More information about location
Community marketplace for holiday accomodation
Job no longer available
Community marketplace for holiday accomodation
1001+ employees
Job no longer available
$194-240k
More information about location
1001+ employees
Company mission
To create a world where anyone can belong anywhere.
Role
Who you are
- 9+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
- Expertise in SQL and proficiency in at least one data engineering language, such as Python or Scala
- Expertise creating metrics, evaluating effectiveness of defenses - ex: rules and ML models utilizing evaluation and experiment data
- Experience with Tableau and data visualization tools generally
- Experience with an ETL framework like Airflow
- Excellent communication skills with a history of strong collaborations with technical and non-technical partners
- Expertise with data warehousing and modeling. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
- Strong problem-solving skills and the ability to troubleshoot complex data issues
What the job involves
- The Users and Contextualization Data & AI team, a vital part of the Users, Listing, & Platform Data team, focuses on building foundational data and systems to provide Airbnb teams with a deeper understanding of key domains
- Specifically, this team concentrates on user data (Guest & Host), aiming to create high-quality, rich, and well-governed user data and insights
- These insights are crucial for enabling personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately helping Airbnb better understand and serve its users throughout their journey
- As a Staff Analytics Engineer, you will be a key contributor to building foundational datasets that provide insights for the company and our Guest & Host community
- This role requires a high degree of autonomy, as you will directly collaborate with Product, Analytics, Data Scientists, and peer engineering teams to define requirements and execute effectively
- Identifying gaps and opportunities with stakeholders and understanding their needs
- Setting the team's roadmap
- Driving alignment on improving and adopting data quality within the Users domain
- Mentoring and reviewing designs and work of engineers on the team, while setting a high bar for quality
- Design and develop high-quality data assets for internal product and analytics use cases, as well as for external partners
- Foster strong collaborative relationships with cross-functional teams including backend/client, data science, analytics, and machine learning
- Partner with product and engineering teams to enhance product usage measurement through improved logging practices
- Create robust pipelines, frameworks, tools, and dashboards to efficiently generate insights that meet critical business, product, and regulatory requirements
- Translate ambiguous data requirements into clear, efficient, scalable, and impactful deliverables
- Present in-depth product and technical analyses to key stakeholders
- Influence the strategic direction of data-driven decision-making within the organization
- Develop user data entities at Airbnb to deepen understanding of Guest & Host behavior and improve platform personalization
Our take
When Airbnb was originally founded, the product helped customers book air mattresses on people's apartment floors. Since then, Airbnb has had over a billion customers hosted through its platform. With more than 4 million registered hosts worldwide, it has grown into a major player in the hospitality sector.
Airbnb has been successful in disrupting the traditional holiday lettings sector. Before it existed accommodation was limited to hotels and bed and breakfasts, but Airbnb has mainstreamed the idea of renting out spare rooms or even entire homes. It has created a new sector of hosts purchasing properties to rent out on the platform and provides a level of flexibility and a range of offerings not previously possible for travelers.
Perhaps a victim of its own success, by 2022 supply of Airbnb-listed properties began to outstrip demand in some markets, as hosts overestimated the appetite for domestic travel. However, the company is still posting strong financials and has unveiled new tools to support its hosts in a tougher rental market. With a healthy bottom line and a huge user base, Airbnb is very likely to overcome the current market turbulence and continue its growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
25% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Apr 2020
$500m
GROWTH EQUITY VC
Mar 2017
$447.8m
SERIES F
Total funding: $3.8bn
Company benefits
- Paid volunteer time
- Health food and snacks
- Generous parental and family leave
- Learning and development
- Annual travel and experiences credit
Company HQ
Showplace Square, San Francisco, CA
Leadership
Brian Chesky
(Co-Founder & CEO)Previously an Industrial Designer, studying at Rhode Island School of Design.
Nathan Blecharczyk
(Co-Founder & CSO)Studied Computer Science at Harvard, and had around 4 years of professional Software Engineering experience before founding Airbnb, including interning at Microsoft.
Joe Gebbia
(Co-Founder)Also studied Industrial Design at Rhode Island, and previously founded various design-related startups
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