Manager, Marketing Analytics

DoorDash Australia

About The Position

The Data Science and Analytics team is looking for a Marketing Analytics Manager to guide measurement, strategy, and decision-making across our Australia and New Zealand marketing efforts. You will take strong ownership of projects and drive them to completion, collaborating with a range of cross-functional teams. Some of the impactful projects you will work on include: Deep diving into results from digital A/B tests to generate insights that improve marketing performance Analysing campaign results and presenting insights to leadership Exploring our customer base to identify target segments and optimise marketing strategies Scaling measurement and reporting solutions to set us up for future success. You're excited about this opportunity because you will… Be a trusted thought partner to our Marketing, Finance, and Executive teams, helping shape decisions on ‘what’s next’ for DoorDash Design and analyse experiments to measure the ROI of our digital marketing spend and develop actionable recommendations Generate insights on customer segments and our most valuable consumers to identify opportunities to improve marketing performance Work with agencies and third-party vendors to develop and implement measurement solutions Contribute to global reporting on the impact of brand marketing campaigns to inform channel investment decisions Leverage AI to develop tools and workflows that enable marketing stakeholders to self-serve and democratise insights.

Requirements

Degree in a quantitative field (e.g. Economics, Statistics, Mathematics).
7+ years of industry experience in a quantitative analysis role.
Experience in marketing science or analytics is strongly preferred.
Ability to communicate clearly and effectively with cross-functional partners of varying technical levels and drive impact.
Entrepreneurial mindset with a demonstrated ability to own projects from start to completion in a fast-paced environment.
Excellent communication skills and proven experience working with cross-functional stakeholders.
Ability to use back-of-the-envelope modelling and thought experiments to guide decision-making in highly uncertain environments.
Strong attention to detail, with the ability to think deeply about analytics and measurement problems to derive actionable insights.
Familiarity with multivariate regression.
Experience with experimentation techniques (A/B testing, causal inference) and interpreting hypothesis testing.
Proficiency in at least one programming language (preferably Python; R or another language is also acceptable).
Strong experience with SQL and basic ETL processes.
Proficiency in one or more analytics and visualisation tools.

Responsibilities

Guide measurement, strategy, and decision-making across marketing efforts in Australia and New Zealand.
Take strong ownership of projects and drive them to completion, collaborating with cross-functional teams.
Deep dive into results from digital A/B tests to generate insights that improve marketing performance.
Analyze campaign results and present insights to leadership.
Explore customer base to identify target segments and optimize marketing strategies.
Scale measurement and reporting solutions for future success.
Be a trusted thought partner to Marketing, Finance, and Executive teams.
Design and analyze experiments to measure the ROI of digital marketing spend and develop actionable recommendations.
Generate insights on customer segments and valuable consumers to identify opportunities for marketing performance improvement.
Work with agencies and third-party vendors to develop and implement measurement solutions.
Contribute to global reporting on the impact of brand marketing campaigns to inform channel investment decisions.
Leverage AI to develop tools and workflows for marketing stakeholders to self-serve and democratize insights.