Uber Advertising is looking for a data-driven strategist to join our Strategy & Planning team. In this role, you will develop scalable data systems, define data standards, and build tools that power decision-making across the advertising organization. You will partner with cross-functional teams - from sales and operations to product and finance - to ensure our monthly and quarterly business reviews are grounded in accurate, accessible, and actionable data, and to deliver the insights and infrastructure that support the long-term growth and evolution of Uber's advertising business.
This role is ideal for someone who thrives at the intersection of analytics, business strategy, and data engineering, and who can translate complex datasets into impactful business insights and scalable solutions.
\-\-\-\- What the Candidate Will Do ----
1. Design and Build Data Products:Create and maintain dashboards, reports, and analytical tools that support monthly and quarterly business reviews (MBRs/QBRs) as well as other critical operational workflows.
2. Drive Data Governance & Standards:Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org.
3. Scale Data Infrastructure:Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business.
4. Enhance Data Fluency:Develop frameworks, documentation, and training to increase data literacy across the advertising organization.
5. Enable Strategic Planning:Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go-to-market strategies.
6. Automate and Streamline:Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision-making.
\-\-\-\- Basic Qualifications ----
1. Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field (or equivalent work experience).
2. 1+ years of experience in analytics, data science, data product management, or business strategy, ideally in a high-growth technology or advertising environment.
3. Proficiency in SQL and at least one data visualization tool (Looker, Tableau, Power BI, etc.).
4. Strong understanding of business KPIs and ability to translate business needs into technical requirements.
\-\-\-\- Preferred Qualifications ----
1. 2+ years of employment experience in consulting, strategy, operations, or analytics within high-growth or matrixed environments
2. Proficiency in Python or similar programming languages
3. Experience in advertising technology, media, or marketplace businesses.
4. Track record of building scalable, self-service data systems for non-technical stakeholders.
5. Excellent communication skills and the ability to influence cross-functional partners.
6. Strong project management skills with the ability to manage multiple priorities.
7. Experience with data modeling, ETL processes, and cloud-based data warehouses (e.g., BigQuery, Snowflake).
For Chicago, IL-based roles: The base salary range for this role is USD$95,500 per year - USD$106,250 per year.
For New York, NY-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$106,000 per year - USD$118,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link [https://jobs.uber.com/en/benefits](https://jobs.uber.com/en/benefits).
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.
