Offer summary

Qualifications:

5+ years of industry experience in analytics or data science., Strong knowledge in at least one programming language (Python or R) and SQL., Degree in a quantitative field such as Statistics, Computer Science, or Data Science; a Master's or PhD is a plus., Expert communication skills to convey complex analyses to both technical and non-technical audiences..

Key responsibilities:

Design, execute, and evaluate A/B tests in collaboration with Product Managers and Business leads.

Define performance metrics for Airbnb products and align with stakeholders on tradeoffs.

Build high-quality ground truth data sets and dashboards to empower the team in answering data questions.

Collaborate with Product Engineering and Analytics Engineering to develop data tools and logging specifications.

Job description

Hi,
The following requirement is open with our client.
Tittle : Lead Analyst - Advanced Analytics
Location : San Francisco, CA - locals - Remote
Duration : 12+ Months

Job Description:
Our client is looking for a Lead Analyst in Advanced Analytics/Data Science for a yearlong remote contract.

Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.
Define how to best measure the performance of Airbnb product and business through new metrics and dimensions. Align with stakeholders, understand tradeoffs and guardrails, prototype metrics through custom data pipelines.
Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumption
5+ years in industry experience
Expert 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
Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement
Experience in analysis of A|B experiments and statistical data analysis
Experience designing and building metrics, from conception to building prototypes with data pipelines
Strong knowledge in at least one programming language (Python or R) and in SQL
Ability to drive data strategies, with a central source of truth to impact business decisions
Knowledge and experience in insurance industry - a plus
Knowledge and experience in customer experience measurement - a plus
Degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)