**What You'll Do** 1. **Technical Solutions & Data Collaboration:** Become an expert at our various 1P and 3P technical data solutions, including Uber’s CDP, data clean rooms and data visualization tools. Build advanced data segmentation and collaboration with clients and partners, including DMPs, CDPs, and other data platforms. 2. **Targeting Strategy and Measurement Frameworks:** Design and implement customized targeting solutions coupled with the proper measurement framework to evaluate audience effectiveness and return on investment (ROI) for strategic clients. Contribute to playbooks and case studies for success stories. 3. **Audience Insights & Analysis:** Conduct in-depth audience analysis to identify opportunities to inform client strategy in advance of meetings 4. **Data Storytelling & Visualization:** Translate numerous audience insights into clear, concise, and actionable storytelling and visualizations for sales, clients and internal stakeholders. 5. **Cross-functional Collaboration:** Work closely with Sales, Clients, Product and Measurement teams to partner on solutions that will drive revenue, innovation and customer satisfaction 6. **Audience Passion**: Showcase a genuine passion for Uber’s leading audience datasets and premium surfaces across Mobility and Delivery and become an internal audience expert on our numerous data signals. **What You'll Need** 1. 5+ years Ads Industry experience at an ad platform, media agency, publisher or data platform 2. 3+ years experience in an analytical client facing role preferably within the advertising industry 3. A passion for data whether it's talking to Sales and Clients about data insights or getting into the weeds with Data Scientists, Analysts and Engineers to build custom audiences or new data solutions 4. Left and Right brain problem solver: This role will require an analytical and technical person that can think creatively with data and apply it to advertising objectives and business outcomes 5. Working knowledge of SQL 6. Cross Functional experience with Sales, Clients, Product and Engineering stakeholders 7. Passionate about solving complex and challenging problems for clients and comfortable dealing with ambiguity **It would be great if you have** 1. 7+ years of experience in Advertising Tech or Marketing Tech 2. 5+ years experience in an analytical client-facing role preferably within the advertising industry 3. 3+ years of hands-on experience working in data management platforms, CDPs, data clean rooms or similar working advertising solutions 4. Deep understanding of Identity solutions (LiveRamp, Epsilon, Experian, etc), Data Cleanrooms (AWS, InfoSum, Snowflake, etc) and Customer Data Platforms (mParticle, Tealium, Segment, etc) 5. Familiarity with measurement frameworks including incrementality testing, A/B testing, media mix modeling, brand lift and MTA 6. Experience with data integrations or other technical data implementations 7. Expertise in SQL, Advanced Excel, and data-driven storytelling. 8. Excellent communication and stakeholder management skills, with the ability to operate seamlessly across non-technical and technical audiences and senior stakeholders 9. Team player with a can-do attitude and a deep interest in mobility and delivery data 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 at least half of their work time 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](mailto:accommodations@uber.com).