• Drive a data-driven approach to optimizing the Ollie member experience alongside peers from product, marketing, CX, & research through: - Exploratory analytical projects that identify actionable learnings & create high-value hypotheses - Hypothesis & initiative valuation to inform prioritization - Thoughtful test design & measurement for new experiences & features that makes sure we are constantly learning • Support the cross-functional team as the go-to data resource through ad hoc analysis, thought leadership on metric definition, sharing/presenting analyses, identifying & communicating data/tech needs, and contributing new ideas • Help build and maintain analytical excellence at Ollie by contributing ideas to enhance processes and being a key voice for how using data can innovate the member experience

• Provides data and analytics expertise to support and collaborate across business units • Manages and leads data and analytics of critical importance • Utilizes data and analytics expertise to coach and develop a team of analysts • Influences strategy through data and analytics • Compiles, cleans, organizes and analyzes complex data to understand business results • Establishes, modifies, documents and communicates standards of practice around data retrieval, data manipulation, data quality, data reporting and data analytics • Communicates and presents complex project analytics information to non-technical teams in clear and compelling way to influence strategy and prioritization of customer experience improvements • Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management • Provides technical expertise

• Own the end-to-end user journey for both free and paid (Plus) users: map how users enter, explore, convert, churn, and reactivate across the product. • Identify key behavioral patterns, friction points, and high-value segments through deep cohort analysis, funnel decomposition, and engagement profiling. • Translate findings into targeting recommendations: define which user segments to prioritize, when to intervene, and what levers (content, notification, paywall, onboarding) are most likely to move the needle. • Build and maintain dashboards and reports that track user journey KPIs - activation rates, habit formation milestones, retention curves, conversion touch points - so product and growth teams always have reliable, actionable visibility. • Partner with product managers to design and analyze A/B tests that validate targeting hypotheses and optimize specific journey moments. • Work closely with Data Scientists to ensure your segmentations and journey insights feed into modeling and personalization initiatives. • Contribute to content quality evaluation - analyzing how different content types and formats perform across user segments, and assessing how content is produced and how to surface the most relevant content to each user. • Depending on the squad, this may include recommendation observability work - tracking what is being recommended to whom, and monitoring diversity, novelty, and coverage across experiments to ensure recommendation quality is visible and measurable. • Translate retention and engagement findings into revenue and LTV impact - sizing the business value of user behavior changes and helping prioritize where to focus next. • Present findings with clarity and conviction to stakeholders at all levels, making complex behavioral patterns easy to act on.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: We are seeking a highly skilled and experienced forward thinking Analytics Engineer professional to join the Financial Controls team. The ideal candidate will be responsible for leveraging data analytics, AI and tooling to build automations around the SOX program, including operational program management, SOX control testing, and reporting. You will play a crucial role in building the long term vision, enhancing our risk assessment capabilities and executing efficient testing under Section 404 of the Sarbanes-Oxley Act of 2002. The Difference You Will Make: The role requires a well-rounded controls focused professional with analytics, systems, infrastructure and operational expertise. In addition, excellent communication, conceptional SOX knowledge, ability to identify and assess risk and apply audit methodologies is required. The position reports to the Principal, Technical SOX Compliance Lead that rolls up to the Director, Financial Risk & Controls. A Typical Day: - Work closely with the testing team to reimagine how we can use data-driven approaches to test the operating effectiveness of controls. - Analyze large volumes of data from various sources in order to build automated transaction testing, risk assessments, or issue investigation to determine the root cause and potential impact to financial controls. - Build internal tooling, automation applications with real time monitoring that streamline the SOX control program Leverage agentic AI and large language models to analyze unstructured data for SOX testing. - Validate the integrity, accuracy and reliability of data through the implementation of data validation and quality control processes - Identify opportunities for process improvements and recommend data-driven solutions to help reduce manual efforts in executing the SOX testing program - Stay up-to-date with the latest trends, tools and techniques in data analytics and AI, and implement best practices within the team Your Expertise: - Bachelor’s degree. MS in Computer Science a plus. - Understanding and experience of 9 plus years with Sarbanes-Oxley Act of 2002, Section 404, COSO framework and PCAOB standards, and operational audit standards - Knowledge of technology marketplace environments including both 3rd party and distributed home-grown systems - Understanding of a service oriented platform architecture - Experience with external auditor requirements and expectations - Strong organizational skills and process-oriented with the ability to define and execute projects with limited guidance and unclear scope - Experience forming strong working relationships with a variety of internal and external stakeholders within and outside of Finance - Ability to communicate clearly and persuasively through both written and verbal formats - Strong quantitative skills and ability to analyze complex data to distill insights and provide business recommendations - Proficiency with the following skills and tools: SQL, Python, data modeling, data extraction, data analysis and visualization via Tableau and other internal tools - Comfortable working with AI coding assistants to accelerate development of analytics and automation tooling. - Monitor the performance and failures of automated workflows and continuously iterate on tooling, logic to improve accuracy, coverage, and efficiency of the SOX program - Proven track record of delivering successful data analytics and automation projects that drive business value - Ability to work collaboratively with people at all levels of the organization, identify risks and anticipate questions, and provide actionable recommendations based on industry best practices and use influence to ensure execution - Role model for Airbnb core values Good to Have: - Proficiency in AI/LLM tooling, including prompt engineering, API integration with models such as Claude or GPT-4, and building AI-assisted workflows for audit and controls testing - Experience building lightweight web applications or internal tools using Python frameworks (e.g., Flask, FastAPI) or other frameworks to automate manual audit processes for SOX program 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. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits. India Annual Pay Range ₹2,590,000—₹3,700,000 INR