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About the Role

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. 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.

Responsibilities

• 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.
• 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 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 democratize 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.
• 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.

Skills

• SQL
• ETL processes
• Experimentation techniques (A/B testing, causal inference)
• Hypothesis testing
• Multivariate regression
• Python
• R
• Analytics and visualisation tools

Location

• Australia
• New Zealand

Work Type

• Individual contributor

Experience Level

• 7+ years

Education Level

• Degree in a quantitative field

Benefits

• Comprehensive benefits and perks

About the Company

• 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.

Equal Opportunity

• 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.