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Strategy & Analytics Associate

Strategy & Planning, Operations
in Amsterdam, Netherlands

About the Role

The Global Strategy & Planning team at Uber Eats shapes the long-term direction of our marketplace and helps teams around the world execute against a unified strategy. We identify growth opportunities, define where Uber Eats should play, and build the insights that guide decisions across product, commercial, and market teams.

Within this team, the Selection Strategy & Intelligence pod helps Uber Eats understand its restaurant and merchant selection opportunity by benchmarking our marketplace, assessing competitive positioning, and quantifying where we can expand, densify, or strengthen our offering.

As a Strategy & Analytics Associate, you will turn complex data, market signals, and ambiguous business questions into clear strategic recommendations. You will lead analyses, build decision-making frameworks, develop competitive intelligence metrics, and craft executive-ready narratives that help teams prioritize opportunities and take action. This role requires strong analytical judgment, SQL fluency, clear communication, and the ability to partner effectively with cross-functional stakeholders.

What You’ll Do

- Lead Strategic Analysis: Quantify market potential, merchant value, and competitive positioning to guide business decisions.

- Own Competitive Intelligence: Develop metrics to benchmark merchant selection, identifying gaps and expansion opportunities.

- Solve Ambiguous Problems: Use exploratory analysis, market sizing, and forecasting to turn open-ended questions into structured insights.

- Craft Executive Narratives: Synthesize findings into high-impact dashboards, visualizations, and presentations for leadership.

- Drive Cross-Functional Impact: Partner with Product, Engineering, and Operations teams to shape roadmaps and translate data into action.

- Innovate & Scale: Leverage new data sources, advanced analytical methods, and AI-enabled tools to accelerate intelligence work.

Your Profile

- Experience: 2+ years in a quantitative, insights-driven role (e.g., strategy, analytics, consulting, or marketplace operations).

- Technical Skills: Strong SQL proficiency is required; familiarity with Python or working with unstructured/web-scraped data is a strong plus.

- Analytical Power: Proven ability to build data models, size markets, forecast opportunities, and work with large, complex datasets.

- Communication: Exceptional data storytelling skills with the ability to influence cross-functional partners and present clearly to non-technical audiences.

- Execution: Comfort with ambiguity, sharp problem-solving skills, and a rigorous approach to ensuring data accuracy.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend Tuesdays, Wednesdays, and Thursdays in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.


See our Candidate Privacy Statement

Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.

选择首选语言

阿拉伯语, العربية阿萨姆语, অসমীয়া阿塞拜疆语, Azərbaycanca保加利亚语, Български孟加拉语, বাংলা加泰罗尼亚语(西班牙), Català (Espanya)捷克语, Čeština丹麦语, Dansk德语, Deutsch希腊语, Ελληνικά英语, English西班牙语, Español (Internacional)西班牙语, Español (Argentina)西班牙语, Español (Chile)西班牙语, Español (Colombia)西班牙语, Español (Costa Rica)欧洲西班牙语, Castellano西班牙语, Español (Honduras)西班牙语, Español (México)西班牙语, Español (Uruguay)爱沙尼亚语, Eesti芬兰语, Suomi加拿大法语, Français (Canada)法语, Français (France)希伯来语, עברית印地语, हिन्दी克罗地亚语, Hrvatski匈牙利语, Magyar印度尼西亚语, Bahasa Indonesia意大利语, Italiano日语, 日本語格鲁吉亚语, ქართული卡纳达语, ಕನ್ನಡ韩语, 한국어库尔德语, کوردی立陶宛语, Lietuvių拉脱维亚语, Latviešu马拉雅拉姆语, മലയാളം马拉地语, मराठी书面挪威语, Norsk Bokmål尼泊尔语, नेपाली荷兰语, Nederlands旁遮普语, ਪੰਜਾਬੀ波兰语, Polski巴西葡萄牙语, Português (Brasil)欧洲葡萄牙语, Português (Portugal)罗马尼亚语, Română俄语, Русский僧伽罗语(斯里兰卡), සිංහල斯洛伐克语, Slovenčina斯洛文尼亚语(斯洛文尼亚), Slovenščina瑞典语, Svenska斯瓦希里语, Kiswahili泰米尔语, தமிழ்泰卢固语, తెలుగు泰语, ไทย土耳其语, Türkçe乌克兰语, Українська乌尔都语, اردو越南语, Tiếng Việt中文, 简体中文中文(中国香港特别行政区), 香港中文中文(台湾), 繁體中文

选择首选语言

阿拉伯语, العربية阿萨姆语, অসমীয়া阿塞拜疆语, Azərbaycanca保加利亚语, Български孟加拉语, বাংলা加泰罗尼亚语(西班牙), Català (Espanya)捷克语, Čeština丹麦语, Dansk德语, Deutsch希腊语, Ελληνικά英语, English西班牙语, Español (Internacional)西班牙语, Español (Argentina)西班牙语, Español (Chile)西班牙语, Español (Colombia)西班牙语, Español (Costa Rica)欧洲西班牙语, Castellano西班牙语, Español (Honduras)西班牙语, Español (México)西班牙语, Español (Uruguay)爱沙尼亚语, Eesti芬兰语, Suomi加拿大法语, Français (Canada)法语, Français (France)希伯来语, עברית印地语, हिन्दी克罗地亚语, Hrvatski匈牙利语, Magyar印度尼西亚语, Bahasa Indonesia意大利语, Italiano日语, 日本語格鲁吉亚语, ქართული卡纳达语, ಕನ್ನಡ韩语, 한국어库尔德语, کوردی立陶宛语, Lietuvių拉脱维亚语, Latviešu马拉雅拉姆语, മലയാളം马拉地语, मराठी书面挪威语, Norsk Bokmål尼泊尔语, नेपाली荷兰语, Nederlands旁遮普语, ਪੰਜਾਬੀ波兰语, Polski巴西葡萄牙语, Português (Brasil)欧洲葡萄牙语, Português (Portugal)罗马尼亚语, Română俄语, Русский僧伽罗语(斯里兰卡), සිංහල斯洛伐克语, Slovenčina斯洛文尼亚语(斯洛文尼亚), Slovenščina瑞典语, Svenska斯瓦希里语, Kiswahili泰米尔语, தமிழ்泰卢固语, తెలుగు泰语, ไทย土耳其语, Türkçe乌克兰语, Українська乌尔都语, اردو越南语, Tiếng Việt中文, 简体中文中文(中国香港特别行政区), 香港中文中文(台湾), 繁體中文