About The Role
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 Youll Do
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
Drive Data Governance & Standards: Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org
Scale Data Infrastructure: Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business
Enhance Data Fluency: Develop frameworks, documentation, and training to increase data literacy across the advertising organization
Enable Strategic Planning: Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go‑to‑market strategies
Automate and Streamline: Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision‑making
Basic Qualifications
3.5+ years' experience in Analytics, Strategy and Planning, Advertising, Ad Sales Ops, Consulting, Corporate Strategy, or similar
Advanced proficiency in SQL: live test required as part of the interview process
Proficiency in at least one data visualization tool (Looker, Tableau, Power BI, etc.)
Strong analytical skills with the ability to synthesize large data sets into clear, actionable insights
Bachelor's degree
Preferred Qualifications
Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field
Familiarity with media, advertising, or retail/eCommerce sectors preferred
Experience in advertising technology, media, or marketplace businesses
Familiarity with dbt or similar data transformation frameworks (dbt experience is a strong plus)
Track record of building scalable, self‑service data systems for non‑technical stakeholders
Excellent communication skills and the ability to influence cross‑functional partners
Strong project management skills with the ability to manage multiple priorities
Compensation and Benefits For Chicago, IL-based roles: The base salary range is USD 118,000 per year – USD 131,000 per year. For New York, NY-based roles: USD 131,000 per year – USD 145,500 per year. For San Francisco, CA-based roles: USD 131,000 per year – USD 145,500 per year. All US locations include eligibility to participate in Uber's bonus program, may be offered an equity award and other types of compensation, and are eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits
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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 Youll Do
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
Drive Data Governance & Standards: Establish and enforce data definitions, KPIs, and governance practices to ensure accuracy, consistency, and trust across the ad org
Scale Data Infrastructure: Partner with engineering and analytics teams to design systems that enable efficient data ingestion, transformation, and accessibility for the business
Enhance Data Fluency: Develop frameworks, documentation, and training to increase data literacy across the advertising organization
Enable Strategic Planning: Collaborate with strategy leaders to align data insights with business goals, investment decisions, and go‑to‑market strategies
Automate and Streamline: Identify and execute on opportunities to automate reporting and analysis workflows, freeing teams to focus on strategic decision‑making
Basic Qualifications
3.5+ years' experience in Analytics, Strategy and Planning, Advertising, Ad Sales Ops, Consulting, Corporate Strategy, or similar
Advanced proficiency in SQL: live test required as part of the interview process
Proficiency in at least one data visualization tool (Looker, Tableau, Power BI, etc.)
Strong analytical skills with the ability to synthesize large data sets into clear, actionable insights
Bachelor's degree
Preferred Qualifications
Bachelor's degree in Business, Data Science, Statistics, Economics, Computer Science, or a related field
Familiarity with media, advertising, or retail/eCommerce sectors preferred
Experience in advertising technology, media, or marketplace businesses
Familiarity with dbt or similar data transformation frameworks (dbt experience is a strong plus)
Track record of building scalable, self‑service data systems for non‑technical stakeholders
Excellent communication skills and the ability to influence cross‑functional partners
Strong project management skills with the ability to manage multiple priorities
Compensation and Benefits For Chicago, IL-based roles: The base salary range is USD 118,000 per year – USD 131,000 per year. For New York, NY-based roles: USD 131,000 per year – USD 145,500 per year. For San Francisco, CA-based roles: USD 131,000 per year – USD 145,500 per year. All US locations include eligibility to participate in Uber's bonus program, may be offered an equity award and other types of compensation, and are eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits
#J-18808-Ljbffr