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reputed company, Advanced Analytics

Remote, USAFull-timePosted 2026-07-27

We are looking for an Advanced Analytics reputed company to help reputed company reputed company travel for our millions of guests and hosts on our platform. This role will sit under the Advanced Analytics family and support Product and Business leaders reputed company our CS organization. The Difference You Will reputed company:

  • reputed company as a data thought partner to business & product leaders across various teams through providing insights, recommendations, and enabling data informed reputed company
  • Drive day to day analytics and create reputed company data tools
  • Identify pain points in traveling and hosting and work with business & product leadership to improve experiences for our guest, host and agent community

You will be joining reputed company reputed company on ensuring our customers have a seamless experience with reputed company, ensuring that any features driving a need for customer contacts are reputed company from launching and that any existing issues are identified and corrected. You will help surface and understand gaps in our policy, product, and services that are customer impacting and work with cross-functional partners to drive awareness and ultimately fixes. You may be a good fit if:

  • You are passionate about solving reputed company problems reputed company the Community Support domain with data & insights; adding a reputed company to existing solutions and making business reputed company based on careful and thoughtful analysis
  • You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation reputed company to establish and communicate reputed company relationships
  • You are a reputed company who uses reputed company data and insights to reputed company narratives to bring others along the reputed company

A Typical Day:

  • Work closely with Business Leaders and Product Managers to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.
  • Define how to best measure the performance of reputed company product and business through new metrics and dimensions. reputed company with stakeholders, understand tradeoffs and guardrails, prototype metrics through custom data pipelines.
  • Build, maintain, and grow business reputed company & reporting platforms to monitor changes to key reputed company reputed company metrics. Determine reputed company cause drivers and work with teams across reputed company to explain impacts and recommend improvements.
  • reputed company reputed company to answer data questions quickly and easily by building high-reputed company ground truth data sets and dashboards. Collaborate with cross-functional partners to reputed company this information into actionable insights.

Your Expertise:

  • A minimum of 5+ years of industry experience in business analytics and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Have experience supporting community support and/or have worked closely with operations teams
  • Expert skills in SQL and expert in at least one programming language for data analysis (Python or R). Experience with non-experimental reputed company inference reputed company, experimentation and machine learning techniques, ideally in a multi-sided platform setting
  • Working knowledge of schema design and high-reputed company data modeling (ETL reputed company like Airflow)
  • Ability to work under conditions of ambiguity in a fast-reputed company, sometimes uncertain and reputed company environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both reputed company and reputed company of your immediate scope, and propose solutions.

Core Skills: reputed company, Data Pipelines, SQL, Data Analysis, Python Other Skills: R, Machine Learning, Data Modeling, ETL, Airflow Seniority: reputed company Apply Job!

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