Associate Principal Strategic Finance & Analytics Supply Ops jobs at Airbnb

The Difference You Will Make:

You’ll serve as a critical finance and strategy leader, bringing hands-on analytical expertise to shape and optimize Brand Marketing investments. Success means delivering actionable insights, rigorous financial analyses, and measurable improvements in KPI attainment, campaign ROI, and budget efficiency. By driving cross-functional alignment and championing operational excellence, you’ll empower Airbnb to make data-driven, strategic marketing decisions that fuel business growth.

A Typical Day:

• Lead budget forecasting and tracking, partnering with Financial Operations to ensure accurate monthly projections and media spend allocations.
• Develop and monitor KPI frameworks for marketing channels, setting and reviewing targets, OKRs, and efficiency metrics.
• Conduct deep analytical dives into business trends and campaign performance, independently extracting, visualizing, and presenting data.
• Collaborate with Brand Marketing, Product Marketing, Hosting, and Data Science teams to design, execute, and evaluate marketing strategies.
• Support weekly and quarterly reporting requirements for Marketing and Hosting organizations, preparing executive-ready presentations.
• Facilitate complex, large-scale processes across global teams and agency partners, proactively driving strategic connections and alignment.
• Lead ROI analyses for brand campaigns — integrating quantitative and qualitative impacts, and championing holistic campaign reviews

Your Expertise:

• 8+ years of progressive experience in finance, analytics, business operations, FP&A, strategy consulting, or related fields.
• Demonstrated mastery of financial modeling and quantitative/qualitative analysis, especially in the context of brand marketing (TV, Social, Online Video, Podcast, Radio, OTT).
• Proven track record in budget planning, forecasting, and media buying operations or similar domain.
• Exceptional communication skills, with experience crafting executive-level presentations and reports from complex data sets.
• Strong cross-functional influence and stakeholder management — adept at structuring and leading global, multi-team processes.
• Comfortable working in ambiguous, high-growth environments; proactive and self-starting with a bias for action.
• Preferred: Experience collaborating with international partners, agency teams, and familiarity with media buying operations.

Offices: United States

A Typical Day:

• 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, 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.

Your Expertise:

• 10+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• 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.

Offices: United States

A Typical Day:

• Develop and provide advisory services on data governance policies and procedures to ensure data integrity, compliance with regulations, and best practices in data management.
• Oversee and enhance tools for audit and advisory work related to data governance, driving the dynamic audit identification process, and creating audit plans focused on data governance.
• Partner with key stakeholders, including business and technology partners, to evaluate data needs, support robust data architecture, and align with strategic initiatives.
• Develop and deliver enterprise-wide training on data governance, collaborating with other disciplines such as Enterprise Risk, Global Compliance Services, and Data & Analytics to maintain departmental alignment.
• Stay current with industry trends and technologies to improve data solutions and practices, while working on ad hoc projects as required.
• Ensure cohesive execution of projects by collaborating with third-party resources and subject matter experts.

Your Expertise:

• 15+ years of data governance, consulting, or relevant fields, with 5+ years in managerial or project management roles.
• Proven experience as a Data Solutions Architect, Data Governance, or leading consulting or internal audit engagements focused on data governance.
• Strong understanding of AWS S3 and cloud computing technologies, along with experience in data modeling and data warehousing.
• Experience in auditing or advising on developing and enhancing data governance tools and frameworks, with knowledge of data privacy regulations (e.g., GDPR, CCPA).
• Exceptional written and verbal communication skills, with the ability to influence key stakeholders globally and cross-functionally, and communicate complex data concepts to non-technical audiences, including executive levels.
• Ability to manage multiple projects simultaneously with strong time management and prioritization skills. Proactive, creative problem solver with strong organizational skills.
• Strong interpersonal skills and ability to work collaboratively in a team environment.

Offices: United States

Operational Performance Management:

• Oversee the business operations of the global contact center, ensuring that it meets the business performance standards and targets (i.e. service levels, efficiency, customer satisfaction, cost etc.)
• Develop and drive the business performance management system across the CS organization. Own the recurring business review framework and operational management system on a recurring basis - WBR, QBR, etc. with the intent to drive standardization and operational excellence across the organization
• Build and foster a robust, transparent and cooperative synergy across departments by aligning contact center goals and initiatives with broader organizational objectives.
• Monitor key business performance indicators (KPIs) and work with the cross functional teams to develop actions plans based on data-driven analysis to optimize business performance. Be the business thought leader on how to measure the business in new ways in partnership with analytics.
• Partner with CS analytics to design the right operational dashboards to monitor the various planning and operations teams. Use data backed insights and recommendations to improve the quality of the operations at the same time as achieving the cost targets.

Operational Business Planning:

• Serve as the primary liaison with finance for all matters pertaining to the CS operational fiscal plan budget. Be able to make tradeoffs and understand the drivers of CS economics across both Airbnb and the partner models.
• Drive the annual business planning process and work with finance to build the operating budget.
• Build the process for driving the overall Operational Efficiencies targets and work with the cross-functional CS and finance teams to properly track the adherence to the efficiencies budget.
• Drive all ROI, budget management in partnership with Finance, roadmaps, LT planning needs for the CS organization and serve as a strategic thought leader for all business cases ROI needs related to the annual planning process.

Business Expense Management

• Own budget and spend policy operations, developing strategies for spend allocation and operationalizing the achievement of targets set by Finance.
• Own all invoice management and fiscal adherence to commercial contracts. Collaborate with cross-functional teams to streamline invoicing procedures and optimize financial operations.
• Develop comprehensive business cases for proposed initiatives, conducting sensitivity analysis to assess potential risks and rewards. Work closely with the Customer Support Analytics (CSA) team to gather and analyze data required for business cases, ensuring data-driven decision-making.

Strategic Business Optimization and Operational Excellence:

• Design the labor framework for deciding the global CS labor footprint across internal and external sites by determining the optimal network ratios. In addition, leverage best practices and provide thought leadership to help optimize labor across various business units in the broader Global Ops organization as needed.
• Own the ramp and ramp down operational readiness process for the CS operations and act as a liaison between different CS departments to ensure that all areas of the operations are coordinated effectively to meet key milestones (i.e. ramp up for peak, ramp down, key launches, etc,).
• Deep focus on contact center business service design optimization efforts and identify and implement improvements to streamline workflows to drive business outcomes to quality (i.e. combining labor tiers, reduce wait times, optimize cost, and enhance overall efficiency, ramp and ramp down).
• Participates in multi functional initiatives, designing and executing on large scale operational programs across the CS network in partnership with other relevant CS teams.

Your Expertise:

• 10+ years experience in business operations or operations management roles, preferably supporting large scale organizations that are global in nature with a proven track record of leading/driving results. Operations, Management Consulting or Financial/analytics background preferred.
• Must have deep functional domain expertise and knowledge in contact center operations and best practices. Understanding of contracts and commercial frameworks is a plus.
• Experience with process design and optimization, strategic operations and customer support strategies. Strong strategic thinking skills with the ability to understand how the key drivers of our business relate to each other, and how your actions and decisions impact Airbnb.
• Works effectively in a global fast-paced environment with the ability to solve problems while managing multiple priorities .
• Strong analytical and problem-solving skills with a proven track record for using data to develop and implement strategic initiatives and drive key business decisions. Experience using SQL, Python and/or Tableau is required.
• Is able to anticipate business and industry issues as a basis for recommending large scale product, process or service improvements.
• Excellent stakeholder management skills with the ability to influence at all levels. Exceptional influencing skills with the ability to help structure management decision making in areas of important business impact.
• Experience solving unique, complex, and often ambiguous problems with broad impact on the business; requires conceptual and innovative thinking to develop solutions.
• Outstanding written and verbal communication and presentation skills; able to articulate a vision, strategy, ideas and decisions clearly and succinctly to executives.

Offices: United States

The difference you will make:

You will make it easier for thousands of internal users to build business critical metrics to enable all kinds of tactical and strategic decision making across the product, finance, operations and other areas.

A typical day:

• Build and extend the capabilities of our query rewriting service.
• Research the latest semantic layer techniques and database engine features to determine what Minerva’s priorities should be.
• Partner with teams across the company to improve the impact of metric infrastructure, especially by making it easier to query data.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.

Your expertise:

• 5+ years in a hands-on software engineering role, shipping high quality code to production.
• Experience with at least one modern, general programming language.
• Experience at the boundary between data engineering and software engineering.
• Experience with a data platform with multiple abstraction or semantic layers.
• A deep understanding of OOP and API design patterns.
• Experience working closely with other engineering teams across complex interfaces.
• Strong communication skills and a track record of leading projects across teams.
• [Bonus points] Experience with OLAP databases and engines
• [Bonus points] Experience with data warehouse technologies

Offices: United States

The Difference You Will Make:

As a Staff Analytics Engineer, you will be a key contributor to building foundational datasets that provide insights for the company and our Guest & Host community. This role requires a high degree of autonomy, as you will directly collaborate with Product, Analytics, Data Scientists, and peer engineering teams to define requirements and execute effectively.

Your responsibilities will include:

• Identifying gaps and opportunities with stakeholders and understanding their needs.
• Setting the team's roadmap.
• Driving alignment on improving and adopting data quality within the Users domain.
• Mentoring and reviewing designs and work of engineers on the team, while setting a high bar for quality.

• Design and develop high-quality data assets for internal product and analytics use cases, as well as for external partners.
• Foster strong collaborative relationships with cross-functional teams including backend/client, data science, analytics, and machine learning.
• Partner with product and engineering teams to enhance product usage measurement through improved logging practices.
• Create robust pipelines, frameworks, tools, and dashboards to efficiently generate insights that meet critical business, product, and regulatory requirements.
• Translate ambiguous data requirements into clear, efficient, scalable, and impactful deliverables.

• Present in-depth product and technical analyses to key stakeholders.
• Influence the strategic direction of data-driven decision-making within the organization.
• Develop user data entities at Airbnb to deepen understanding of Guest & Host behavior and improve platform personalization.

Your Expertise:

• 9+ years of experience experience in Analytics Engineering, Data Science, Data Engineering, or similar field
• Expertise in SQL and proficiency in at least one data engineering language, such as Python or Scala
• Expertise creating metrics, evaluating effectiveness of defenses - ex: rules and ML models utilizing evaluation and experiment data.
• Experience with Tableau and data visualization tools generally
• Experience with an ETL framework like Airflow
• Excellent communication skills with a history of strong collaborations with technical and non-technical partners
• Expertise with data warehousing and modeling. Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Strong problem-solving skills and the ability to troubleshoot complex data issues

Offices: United States

A Typical Day:

• Develop and lead high performing, cross-functional project teams within operations (Partner Management, Internal Operations, Tools Support, Product Ops) and Shared Services (OCM, WFP, Training, KM, Quality), managing multiple projects and programs simultaneously.
• Create comprehensive and nimble end-to-end implementation plans through robust planning and actively drive the execution, launch, and post-launch control of solutions.
• Collaborate closely with leadership to establish and maintain strategic alignment, communicate project status, and manage expectations.
• Responsible for identifying and developing all operations business requirements, writing business requirements docs, and partnering with product & engineering teams to incorporate and prioritize ops’ needs into product requirement docs (PRDs).
• Become the domain expert in your fraud and safety space and design high-quality end-to-end agent investigation workflows. You will leverage internal Airbnb tools to architect robust, error proofed, and streamlined processes.
• Develop comprehensive user acceptance testing (UAT) plans and own end-to-end UAT of agent workflows to ensure solutions are ready for live production.
• Drive optimal ops forecasting through close collaboration with product and workforce planning teams. As assumptions change, you’ll update plans dynamically and apply a lens of radical stewardship to the use of company resources.
• Ensure solutions have been rigorously tested before rolling out at scale. Develop experiments, pilots, feedback channels and corresponding pre-launch success criteria to maximize learnings that inform solutions.
• Partner with training teams to develop meaningful and exhaustive agent training that maximizes learning and knowledge retention.
• Develop key insights into the quality and performance of your implementation. You’ll define key success metrics alongside your advanced analytics partners, and ensure robust dashboards are created to monitor the performance of pilot, launch and post-launch.
• Maximize decision accuracy by ensuring quality metric frameworks are developed and tailored for your solution. Partner with QA teams to drive root cause analysis of decision accuracy errors, and develop solutions to prevent future failures.Develop hypotheses and data collection plans when issues arise. Seek to prove or disprove through deep dive analysis.
• Ensure lasting change through the ownership of key metrics and delivery of post-launch continuous improvement efforts.
• Facilitate identification of areas for inefficiencies/improvement and opportunities for innovation from Operational standpoint as well as market trends and competitive landscape geared towards improving customer experience and optimizing cost
• Champion continuous improvement philosophy and drive adoption of Lean and Agile methodology culture in the organization through training, coaching/mentoring, and leading/managing/implementing continuous improvement projects
• Lead Performance Analysis by establishing Key Performance Indicators (KPIs) for each of the functional domains and effectively leverage data to measure success and identify areas of improvement
• Be a champion of data-driven decision making approach and culture to drive continuous performance improvement

Your Expertise:

• Master / Bachelor Degree in Engineering, Science, or Operations (Engineering background is preferred)
• 8+ years of experience in, project/ program management, continuous improvement, technical program management, management consulting, or product management.
• Experienced problem solver, who is an expert in navigating ambiguity and critical thinking.
• Experience of driving continuous process improvement within an organization including development and implementation of strategies to optimize workflows and reduce operational bottlenecks
• Expert in process mapping, and proven experience in designing, improving and implementing new processes into operational organizations.
• Excellent strategic and analytical capabilities, problem-solving skills, and business acumen; strong judgment in navigating and resolving sensitive situations
• Ability to drive multiple concurrent initiatives in a fast paced environment with evolving requirements and timelines.
• Proven organizational and leadership skills to motivate and influence others positively to drive for results
• Demonstrated ability to interact and work effectively across functional teams and at multiple levels within the organization, including technical product, engineering, and PMO teams
• Certification in project management or Lean/Six Sigma a plus; track record of creating and contributing to a culture of continuous improvement.
• Ability to build strong relationships and partner with key stakeholders to build trust and influence at multiple levels within the organization
• Excellent written and verbal communication skills, with a focus on communicating with senior leadership.
• Incredibly organized and resourceful; able to juggle and multi-task, with an attention to detail and follow through even in ambiguous situations

Offices: United States