Advanced Analytics Analyst
1 month ago
Title: Advanced Analytics Analyst - Trust & Safety Product and operations
Duration: 5 Months with possibility of extension
Location: Remote Work – (San Francisco, CA) – Prefer someone from PST Zone
Job Description:
Must Have:
- Trust & Safety Product and operations
- Python, SQL, Tableau
- ETL framework like Airflow
Description
The Trust organization protects, guides, and mobilizes the creation and defense of trust in our community and on our platform. We hire quality talent who embody our company values and hold a steadfast commitment to creating a world where anyone in the community can host, travel, and connect with peace of mind.
The Trust Experience Analytics team within Global Operations enables, facilitates, and streamlines integrated data-driven decision making across the Trust Product, Operations & Policy organizations. The team is committed to operational excellence and community experience through a culture of problem-solving, guided by data and research. We inject quantitative measurements into our user journey, product defense and frictions, processes and implement objective indicators of success. Most importantly, we create the resulting feedback and insights-to-action for our community trusted user journey, unlocking positive perception, usage, and retention. We are passionate about showcasing and solving the most pressing, most impactful product concerns our community face, including rooting out discrepancies in the product experience, guided by data and research.
About you
• You are passionate about solving complex problems within the Trust & Safety domain with data & insights; adding a new perspective to existing solutions and making business decisions based on careful and thoughtful analysis
• You are highly proficient in building and analyzing analytical frameworks, statistical models and experimentation methods to establish and communicate causal relationships
• You are a storyteller who uses complex data and insights to frame narratives to bring others along the journey
• Working knowledge of agile ceremonies and you excel at collaboration, providing concrete guidance and constructive feedback to peer analysts and cross-functional partners across the business to help improve the work
• You are able to execute projects with great complexity and a longer time horizon than is typical on most product teams. You can apply a sustained level of commitment and attention to your work, as well as thorough, thoughtful, and rigorous documentation to multi-week and often multi-month projects
How you'll make an impact
You will be a part of a Trust product & operations data squad composed of product managers, engineers, ops analysts, data analysts and data scientists designing and building scalable and robust products and systems to detect and support the mitigation of fraud activities across the entire platform (Account Integrity, Content Integrity, Financial Fraud, Safety, Identity etc.). You will both develop and support the creation of robust data insights through cross-functional partnerships, and will utilize and help to strengthen and improve the end-to-end trusted user journey (pre-trip, on-trip and post-trip). You will create data narratives and influence experimentation platforms to guide the seamless execution of new products, processes and systems, balancing the safety and expression needs of our community and business and operational challenges.
In addition, you will leverage rich and unique data, state-of-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organization. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity
Skills:
Collaborate with a strong team of engineers, product managers, designers and operations agents to achieve shared, cross-functional goals to help keep community safe and trusted.
In this role you'll get to
• Use a combination of data engineering, science and analytics based skills to build the business insights platform to detect and support the mitigation of potential fraud behavior across the *** platform
•Perform data modeling of the various entities involved in the Trust creation and defense including hosts, guests, agents, and others using tools & frameworks for optimizing community end-to-end journey by minimizing undesired frictions while introducing proactive product defenses on our platform
• Defining and evaluating key metrics in an unstructured problem space. Developing and communicating a robust understanding of what moves these metrics and why
• Investigating challenging questions around the user experience to understand the voice of our users at scale
• Partnering cross-functionally with product, engineering, legal, design and operations, as well as with other data science teams, to implement and measure models that drive product development
• Influence data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs and planning among others
• Influence experimentation & measurement strategies; conduct power analyses, define exit criteria, and use statistical models to improve inference. Your expertise in causal inference as well as passion for the subject matter will help you address this unstructured space • Providing technical mentorship to other data scientists, ensuring a high level of scientific rigor We are looking for people who have
• A minimum of 7+ years of industry experience in business analytics with an emphasis on Trust & safety product and operations scalability; and on developing business facing metrics and solving future business decisions. Have experience on a trust and safety team and/or have worked closely with policy, content moderation, or security teams
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
• Experience with non-experimental causal inference methods, experimentation and machine learning techniques, ideally in a multi-sided platform setting
• Experience in schema design and high-dimensional data modeling (ETL framework like Airflow)
• Demonstrated ability to create and drive product roadmaps for the business, then seamlessly execute against them
• Proven ability to tailor your recommended solutions to business problems to a cross functional team, with the ability to communicate clearly and effectively with cross functional partners of varying technical levels
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment - comfortable acting with minimal planning, direction, and supervision. You can identify issues both within and outside of your immediate scope, and propose solutions.
• Absolute ability to maintain confidentiality and objectivity
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