Senior Business Insights Analyst, BizTech
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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
About Finance Technology
The Finance Technology group manages a complex and innovative ecosystem of products and applications, and is responsible for driving key outcomes for all stakeholders who rely on Airbnb's Financial Information. Some of these include a) ensuring taxes are charged, collected, remitted and reported correctly b) manage all things cash (reconciliation, hedging, treasury), c) ensure every transaction is accounted correctly and ready for audit and investor reporting, d) provide critical data and metrics, e) provide top-to-bottom insurance protection for guests and hosts, and f) provide critical enterprise applications to employees (e.g, ERP, Equity). Everything we do is exemplified due to the scale - hundreds of currencies, thousands of tax authorities, millions of users, and billions of dollars (and transaction volume). Our approach is to build platform solutions to help the company grow by bringing new markets and demographics, be compliant, optimize costs and enable new business initiatives to thrive
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About Finance Data Analytics
Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation. The Finance Data Analytics team manages analytics, metrics, and reporting and delivers insights and drives business decisions and finance operations. This role will build the data foundation for reporting, analysis, experimentation, and machine learning at Airbnb. We are looking for someone with expertise in metric development, data modeling, SQL, Python, and large scale distributed data processing frameworks like Presto or Spark. Using these tools, you will transform data from data warehouse tables into valuable data artifacts that power impactful analytic use cases (e.g. metrics, dashboards). You will sit at the intersection of data science and data engineering, and work collaboratively to achieve highly impactful outcomes. Data can transform how a company operates; high data quality and tooling is the biggest lever to achieving that transformation.
The role will have broad exposure to various functions at Airbnb, including Insurance Solutions, Insurance Platform Engineering, Finance Engineering, and various Data Engineering teams. This position reports to the Principal, Insurance Data Analytics
Specific Responsibilities include:
- Understand data needs by interfacing with fellow finance stakeholders, data analysts, data engineers, and business partners
- Architect, build, and launch efficient & reliable new data models and pipelines in partnership with Data Engineering
- Design, define, and implement metrics and dimensions to enable analysis and predictive modeling
- Design and build data visualization, dashboards to monitor the performance of new products
- Support the monthly and quarterly reporting and close process
- Collaborating with the finance stakeholders on data research to drive product and business decisions
- Become a data expert in the finance domain; held accountable for data quality in your business domain.
- Build tools for auditing, error logging, and validating data tables
- Build and improve data tooling in partnership with internal Data Platform teams
- Define logging needs and data engineering needs in partnership with Data Engineering
Required Qualifications:
- 7+ years of overall experience in the respective technologies
- Passion for high data quality and scaling data science work
- 4+ years of relevant industry experience
- Strong skills in SQL and distributed system optimization (e.g. Spark, Presto, Hadoop, Hive)
- Expert in at least one programming language for data analysis (e.g. Python, R)
- Experience in schema design and dimensional data modeling
- Experience in data visualization and business intelligence tools (e.g., Tableau)
- Ability to perform basic statistical analysis to inform business decisions
- Proven ability to succeed in both collaborative and independent work environments
- Detail oriented and excited to learn new skills and tools
Preferred qualifications:
- Experience with an ETL framework like Airflow
- Python, Scala, Superset, and Tableau skills preferred
- An eye for design when it comes to dashboards and visualization tools
- Familiarity with experimentation and machine learning techniques
- Experience with analytical storytelling, using data to support business and product decisions
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion