Senior Analyst, Advanced Analytics

Description

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home and has since grown to over 4 million Hosts who have welcomed more than 1 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.

The Analytics Centre of Excellence (ACOE) at Airbnb based in India is a hub of knowledge and expertise that aims to provide data-driven decision-making enabling Airbnbs business goals. The ACOEs vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments trust digital customer support hosting sales social compliance risk platforms and partnership & economics.

The ACOEs delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics dashboards driving actionable insights optimization of performance measuring pre/post feature impact sizing the ROI of opportunities prioritization of opportunities anomaly-driven alerting mechanisms root cause analysis of metric deviation and exploratory hypothesis testing.

The Community You Will Join:

We are looking for an advanced analyst in our India Analytics team who works with Payment Analytics. The analyst must have functional expertise in building analytical solutions and be a trusted partner to product teams and business leaders across marketplace teams through providing insights recommendations and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS Insights organization.

The Difference You Will Make:

• Work with technical and business teams to develop robust insights create data narratives and leverage Airbnbs rich data to define metrics.
• Build advanced analytical capabilities and tools passionate about solving complex problems with data; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis.
• Leverage Airbnbs state-of-art machine learning infrastructure and other central data science tools to build and collaborate with a strong team of engineers product managers designers and operation agents to achieve shared cross-functional goals.
• You have a strong sense of urgency for and commitment to Airbnbs mission of belonging.
• Develop a deep understanding of how guests and hosts interact with our payments platform and how we can manage our risk while meeting our regulatory compliance requirements through structured and unstructured data sources.

A Typical Day:

• Execute projects with regular direction; Set a roadmap for projects up to a quarter ahead providing constant updates to business stakeholders analytics management and deliver against agreed timelines.
• Ensure the availability of data quality and data integrity for analysis and reporting by blending external and internal data working closely with global operations and India analytics functions.
• Perform data modeling for the various entities involved in Airbnb including customers hosts cases agents and others using modern data modeling tools and frameworks to provide the analytical foundation of Airbnbs Advance Analytics positions.
• Execute ad-hoc reporting data investigations and root cause analysis into various operational areas including policy incubation enforcement efficacy prevalence efficiency agent tooling agent staffing & optimization and agent quality & efficiency to identify and solve for operational bottlenecks and inefficiencies.
• Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnbs product operations and policy issues
• Influence data-driven decisions across global sites and business verticals in day-to-day via business reviews self-serve portal planning scorecards and impact analyses among others.
• Experiment with new Airbnb policy / product features to help deter and mitigate risk
• Influence machine learning models in partnership with DS / Engg teams to automate policy enforcement decisions while enqueueing the most complex cases for manual review by agents

Your Expertise:

• 6 years of industry experience and an Advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g. Statistics Econometrics Computer Science Engineering Mathematics Data Science Operations Research).
• Good communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Proven track record of delivering full stack data projects from inception to business impact.
• Advanced level proficiency in SQL/NoSQL programming languages such as Python R SAS and Intermediate level knowledge of data foundations and databases like Presto Hive Teradata Spark.
• Familiarity with EDA hypothesis testing significance testing linear regression logistic regression SVM ridge regression lasso regression random forest basic concepts of NLP KNN K-Means A/B testing multivariate testing and digital funnel testing.
• Beginner level understanding of statistical and machine learning techniques Tableau or similar BI platform to develop reports and dashboards
• Have a positive and solution-oriented mindset with an ability to maintain confidentiality and objectivity.
• Exceptional problem-solving abilities self-motivation and ability to work autonomously strong organizational and time management skills with the ability to manage multiple priorities and meet deadlines.
• Knowledge and experience in payments processes systems and tools would be a plus
• Knowledge and experience in risk/compliance processes and data needs would be a plus

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.

Required Experience:

Senior IC