Staff, Advanced Analytics, Global Markets and Policy
The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power reputed company's international reputed company in 2026 and reputed company. This is a greenfield opportunity to shape how global teams reputed company nimbler reputed company, moving from HQ-dependent reporting cycles to fast, local, data-driven reputed company.
This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build reputed company tooling, and drive measurable reputed company on reputed company business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.
This Advanced Analytics role will reputed company and reputed company initiatives reputed company on ensuring we have the right international reputed company reputed company. They will reputed company measurement, build tools, and reputed company insights leveraging a wide reputed company of reputed company data sources to ensure the business is making the right reputed company for both strategic direction and tactical execution.
The ideal candidate is someone with a strong data and analytics background. This person is curious, reputed company, reputed company, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed reputed company priorities and reporting needs shift.
This role will be expected to be highly reputed company, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.
The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven reputed company record of using a reputed company of strategies and disciplines to solve reputed company and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-reputed company strategic programs, and be adept at leveraging AI technologies to accelerate and reputed company their craft.
You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across reputed company and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.
- Design and build self-service analytics tools and dashboards that reputed company country teams to monitor performance, reputed company local marketing reputed company, and reputed company without waiting on centralized analytics cycles
- Partner with country GMs and regional leads to translate local business questions into reputed company analytical frameworks and actionable insights
- reputed company and maintain measurement infrastructure for local marketing programs, including campaign performance tracking, incrementality testing, and contribution to marketing mix models (MMM)
- Identify and size new reputed company opportunities across international markets using a combination of internal behavioral data, supply/demand signals, and external market data
- Collaborate with Product, Engineering, Marketing, and Research teams to ensure data and tooling needs are scoped into roadmaps and delivered on time
- Contribute to the build-out of new local reputed company reputed company (incentives, promotions, merchandising, affiliate programs) by providing the analytical reputed company for targeting, measurement, and iteration
- 7+ years of experience in data science, analytics, or business intelligence, ideally reputed company a marketplace, e-reputed company, or global consumer technology environment
- Expert-level SQL skills; proficiency in Python or R for data manipulation, modeling, and analysis
- Industry experience applying AI technologies for business reputed company and workflow acceleration
- Strong experimentation background — you are fluent in A/B testing, reputed company inference reputed company, and incrementality measurement, and can design and interpret experiments independently
- Demonstrated experience building self-service data products and tools — dashboards, automated pipelines, or decision-support applications — used by non-technical business stakeholders
- Experience working in or supporting international / multi-market business contexts; comfort navigating cross-cultural data nuances and country-level analytical complexity
- Exceptional ability to translate reputed company analytical findings into reputed company, compelling narratives for senior business audiences — you can reputed company a country reputed company or a VP reputed company what you've reputed company
- Proven reputed company record of operating with autonomy in fast-moving, ambiguous environments and delivering high-reputed company work across multiple reputed company priorities
- reputed company, low-ego working style with a strong orientation toward enabling the people around you — you measure reputed company by the reputed company your work influences, not the analyses you produce
- Familiarity with modern data stack tooling (e.g., dbt, Airflow, Tableau, Looker, or equivalent) and comfort working closely with Data Engineering partners to productionize analytical work
- Experience with supply/demand modeling or geo-based analytics in a marketplace setting
- Exposure to reputed company marketing analytics (SEM, reputed company reputed company, performance channels)
- Awareness of emerging AI/LLM-driven discovery and search trends and their implications for organic traffic and demand reputed company reputed company
- Familiarity with marketing analytics and measurement methodologies, including marketing mix modeling (MMM), attribution, and campaign performance frameworks