At DoorDash, the Data Science and Analytics team uncovers insights and translates them into actionable recommendations that drive decisions across the organisation. Analytics is integral to all areas of DoorDash, and this role sits within the global team with a specific focus on the ANZ markets.
About the RoleThe 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. This is an individual contributor role that 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.
- 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.
- Degree in a quantitative field (e.g. Economics, Statistics, Mathematics) and 7+ years of industry experience in a quantitative analysis role
- Experience in marketing science or analytics is strongly preferred
- Strong experience with SQL and basic ETL processes
- Experience with experimentation techniques (A/B testing, causal inference) and interpreting hypothesis testing
- 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
- Proficiency in at least one programming language (preferably Python; R or another language is also acceptable)
- Proficiency in one or more analytics and visualisation tools.
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
If you need any accommodations, please inform your recruiting contact upon initial connection.
Skills Required
- 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
- Proficiency in at least one programming language (preferably Python; R or another language is also acceptable)
- Strong experience with SQL and basic ETL processes
- Familiarity with multivariate regression
- Experience with experimentation techniques (A/B testing, causal inference) and interpreting hypothesis testing
- Proficiency in one or more analytics and visualization tools
DoorDash Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DoorDash and has not been reviewed or approved by DoorDash.
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Healthcare Strength — Feedback suggests corporate roles receive comprehensive medical, dental, and vision coverage alongside mental health support and wellness resources.
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Leave & Time Off Breadth — Feedback suggests generous time off policies for employees, including flexible or unlimited PTO in many roles, paid sick days and holidays, and extended paid parental leave.
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Wellbeing & Lifestyle Benefits — Corporate employees benefit from daily free meals in office and a range of stipends for home office setup, Wi‑Fi, gym/wellness, commuting, and other lifestyle perks.
DoorDash Insights
What We Do
At DoorDash, our mission to empower local economies shapes how our team members move quickly and always learn and reiterate to support merchants, Dashers and the communities we serve. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. Our leaders seek the truth and welcome big, hairy, audacious questions. We are grounded in our company values, and we make intentional decisions that are both logical and display empathy for our range of users—from Dashers to Merchants to Customers.
Why Work With Us
When you join our team, you join our dream: to grow and empower local economies. We’re focused on improvement—from moving faster to leveling up the quality of our product—and our work is never complete. If you’re looking to define your career as part of something greater than yourself, come scale with us.
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