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Staff Analyst, Advanced Analytics

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Airbnb

8d ago

  • Job
    Full-time
    Expert Level
  • Data
    Research & Development
  • San Francisco
    Remote

AI generated summary

  • You need a quantitative degree, 9+ years in analytics or data science, expertise in data analysis, programming in Python/R, SQL experience, strong communication, and stakeholder management skills.
  • You will analyze complex data, develop forecasting models, design experiments, monitor performance metrics, build reporting tools, and present insights to stakeholders. Stay updated on analytics trends.

Requirements

  • A quantitative undergraduate degree with a strong preference for candidates holding an MBA or equivalent advanced degree, with 9+ years of industry experience in a Data Science, Analytics, Investment Banking or equivalent role.
  • Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs.
  • Proficiency in programming languages such as Python or R for data analysis and modeling.
  • Experience working with large datasets and SQL for data extraction and manipulation.
  • Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.
  • Strong problem-solving and critical thinking abilities, with a keen attention to detail.
  • Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
  • Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
  • An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.
  • Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
  • Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.

Responsibilities

  • Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
  • Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making.
  • Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Advanced Analytics, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
  • Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance.
  • Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
  • Design and build metrics / dimensions to monitor product and business performance.
  • Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
  • Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
  • Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.

FAQs

Do we support remote work?

Yes, this position is US - Remote Eligible, but you must live in a state where Airbnb, Inc. has a registered entity.

Is there a preference for a specific educational background for this role?

Yes, a quantitative undergraduate degree is required, and there is a strong preference for candidates holding an MBA or equivalent advanced degree.

What level of experience is required for this role?

Candidates should have 9+ years of industry experience in Data Science, Analytics, Investment Banking, or equivalent roles.

What technical skills are essential for this position?

Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and proficiency in programming languages such as Python or R for data analysis and modeling are essential.

Will I need to collaborate with other teams in this role?

Yes, this role requires collaboration with various cross-functional teams, including Product, Engineering, Finance, Operations, and Data Science.

What kind of projects will I be working on in this position?

You will be working on driving data-driven decision-making, defining, forecasting, and evaluating key metrics, and conducting experiments to guide product iterations.

Is prior experience in technology preferred for this position?

Yes, prior experience in the technology industry or a fast-paced, data-driven environment is preferred.

What are some key soft skills needed for this role?

Strong problem-solving and critical thinking abilities, excellent communication and presentation skills, exceptional stakeholder management skills, and an agile, growth-minded approach are crucial.

What is the salary range for this position?

The pay range for this role is between $172,000 and $243,500 USD, depending on various factors such as experience, skills, and market demands.

How does Airbnb support diversity and inclusion in the hiring process?

Airbnb is committed to working with a broad talent pool and encourages all qualified individuals, including those with disabilities, to apply. They also provide a disability-inclusive application and interview process.

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Airbnb

Airbnb is a community based on connection and belonging.

Travel & Leisure
Industry
5001-10,000
Employees
2007
Founded Year

Mission & Purpose

Airbnb is an online platform that connects travellers with unique lodging options and experiences offered by hosts worldwide. The company allows hosts to rent out their properties, whether it's a spare room, an entire house, or even an unusual accommodation like a treehouse or boat, to travellers seeking a more personalised and local experience. Airbnb's ultimate mission is to create a world where anyone can belong anywhere, fostering a sense of belonging and cultural exchange among travellers and hosts. Their purpose is to enable people to explore new places, immerse themselves in different cultures, and build connections with local communities while offering hosts an opportunity to share their spaces and stories. By facilitating peer-to-peer hospitality, Airbnb aims to make travel more accessible, authentic, and enriching for people from all walks of life, while contributing to economic opportunities and sustainable tourism in various destinations.

Benefits

  • Comprehensive health plans

  • Paid volunteer time

  • Healthy food and snacks

  • Generous parental and family leave

  • Learning and development

  • Annual travel and experiences credit