Uber is looking to provide strategic insights, measurement, and optimization for a large brand marketing budget to help scale the global Uber brand and understand the long-term impact of brand marketing.
Requirements
- Experience with data analysis and visualization tools, such as Python, R
- Experience with SQL on large multi-table data sets
- In-depth understanding of and experience with experimental design
- Familiarity with causal inference and econometrics techniques to measure incrementality
- Experience with marketing analytics, marketing measurement or market research - including survey-based measurement tools
- Understanding of capabilities offered by publishers including ad products, brand lift and measurement solutions
Responsibilities
- Design measurement and optimization for a large brand marketing budget, using a toolset ranging from experimentation to survey-based methods and causal inference
- Work closely with our media, research and marketing teams to develop actionable customer insights and recommendations to guide high level marketing strategy and inform improvements through the course of the campaign lifecycle
- Leverage rich internal databases to mine patterns on winning marketing tactics and understand customer behavior to inform marketing briefs
- Leverage causal inference models for advanced campaign measurement and optimization
- Tackle open-ended questions about marketing effectiveness, interaction effects, incrementality & related topics
- Regularly present insights and learnings to executive leadership
Other
- Collaborate with a cross-functional team consisting of marketing, research, media and creative.
- Shape marketing and measurement strategy.
- Support measurement, optimization and strategy for all brand marketing in the region.
- Intellectual curiosity and a demonstrated ability to provide thought partnership to executive stakeholders
- Excellent communication skills to understand stakeholder needs, set expectations around feasibility, translate business challenges into research questions, and present findings to non-technical audiences
- Ability to translate data science findings into strategy
- Someone who is willing to contribute new ideas and articulate them to a variety of business partners and not just execute on existing ones
- The ability to balance attention to detail with swift execution, including the ability to deliver on tight timelines
