Senior Analyst, Advanced Analytics

Airbnb
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Job Description

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 Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as Community Support, Payments, Trust, Digital, Hosting, Sales, Social, Compliance, Risk, Platforms and Partnership & Economics.

The ACOE's 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.

We are looking for a lead advanced analyst in our Analytics Centre of Excellence who will work in the Community Support team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our operations and product teams and business leaders. This role will sit under the Advanced Analytics family and will provide insights and recommendations to enable data driven decision making.

The Difference You Will Make:

  • Data thought partner to product and business leaders through providing insights, recommendations, and enabling data informed decisions.
  • Build advanced analytical capabilities and tools, leverage Airbnb’s 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.
  • Have a strong sense of urgency for and commitment to business goals
  • Develop a deep understanding of how guests and hosts interact with our Community Support platform as well as develop familiarity with how our agent tooling works.
  • Come up with a roadmap to leverage other structured and unstructured data available for insight generation.

A Typical Day:

  • Drive projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines.
  • Work closely with product managers and business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.
  • Build credibility and trust with the team and empower them to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards.
  • Collaborate with Product Engineering / Analytics Engineering / Data Engineering to build robust metrics with the right governance mechanism
  • Devise business metric frameworks and optimization models to make optimal business decisions that support arguments for Airbnb’s 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.

Your Expertise:

  • Industry experience and an advanced degree in Business Analytics or other (Masters 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 perform 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.
  • Knowledge of BI tools like Tableau or Superset 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.
  • Exposure to travel industry, digital or an eCommerce domain is 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.

Company Info.

Airbnb

Airbnb Engineering & Data Science: Creative engineers and data scientists building a world where you can belong anywhere. Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Host

  • Industry
    Hotel and Restaurant
  • No. of Employees
    13,635
  • Location
    888 Brannan Street, San Francisco, CA 94103, USA
  • Website
  • Jobs Posted

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