Media Measurement and Optimization Lead

3 days ago

San Francisco, California, United States DoorDash USA Full time
About the Role

We're seeking a highly analytical and strategic performance marketer to join our Consumer Growth Marketing team at DoorDash USA. As a key team member, you will be responsible for overseeing performance measurement and optimization across various offline media channels, including TV, OTT, Audio, OOH, and associated online channels such as Programmatic Video, Streaming Audio, Podcasts, and YouTube.

You will have the opportunity to work closely with our Analytics team to build tools and dashboarding to better analyze, measure, and optimize campaign performance. Additionally, you will collaborate with agencies and in-house teams to optimize media buying in an effort to hit aggressive growth targets in a cost-effective manner.

Key Responsibilities:

  • Drive our understanding of the impact of more than 30% of our media investment, ensuring we are implementing learnings across both brand and performance objectives.
  • Build and manage an experimentation roadmap to optimize performance, including A/B creative tests, incrementality tests, new channel launches, and brand lift tests.
  • Establish channel forecasts and budget recommendations, with the speed and ownership to adjust tactics and strategies quickly based on learnings and opportunities.
  • Test new channel/product features to identify incremental audiences and inventory for accelerating growth.
  • Collaborate and partner with other teams and stakeholders to ensure goals are met.

Requirements:

  • Strong experience working with offline measurement tools, with experience building and managing measurement programs, including interactions with internal and external stakeholders.
  • Strong quantitative, analytical, and problem-solving skills, with the ability to use data to make decisions.
  • Strong understanding of marketing analytics and the nuances of managing media with limited data signals based on today's privacy environment.
  • Experience in advertising effectiveness analysis, marketing mix modeling, multi-touch attribution, and ROI measurement.
  • Knowledge of SQL, Python, or other data processing scripts.
  • Experience with offline marketing channels, such as TV, Print, OOH, Experiential, Partnerships, and associated online channels, such as OTT, CTV, DRTV, Podcasts, and Display.
  • Financial operations understanding and application of using media mix modeling to make financial decisions.
  • Proactive, thrives in a fast-paced environment, and has an outstanding ability to think creatively, identify, and resolve problems.
  • Highly proficient in Excel/Google Sheets, as well as a strong grasp of A/B testing and metrics-driven performance marketing.
  • Attention to detail and the ability to effectively multi-task in a deadline-driven atmosphere.
  • Ability to synthesize complex ideas into actionable recommendations for senior executives.
  • Understanding of mass media, brand strategy, or event planning and discrete, measurable targets.
  • Analytically-minded, structured thinker, with a bias to action to achieve success in a fast-moving environment.
  • Experience with Web & App Tracking/Attribution.
  • Experience working on multi-sided marketplace businesses.
  • BA/BS degree and 7+ years of related performance marketing or data analytics experience.
  • Applied mathematics, statistics, or econometrics education or relevant background.

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