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About the Role

As a key BizOps partner, you will collaborate with the Strategy & Operations team and the ANZ Executive Leadership Team to transform data into actionable insights, focusing on the ANZ markets to drive strategic initiatives. You will analyze all three sides of DoorDash's marketplace (Consumers, Merchants, Dashers) to identify opportunities, solve complex business challenges, and foster growth and operational excellence.

Responsibilities

Turn data into actionable insights, understanding what is happening, why it is happening, and what actions should be taken next.
Focus on the ANZ markets, helping to drive strategic initiatives across the region.
Adapt and apply best practices from the US business to local market dynamics.
Provide data-driven recommendations that inform business decisions.
Work across Consumers, Merchants, and Dashers to identify opportunities, solve complex business challenges, and drive growth and operational excellence.
Be a thought partner to Strategy & Operations and Executive teams to guide decisions on future strategies.
Provide insights to enable cross-functional teams to understand marketplace dynamics, user behaviors, and long-term trends.
Leverage Generative AI models and tools with generous token allocations.
Use quantitative analysis and data presentation to understand business drivers.
Build full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical tools.
Identify and measure levers to influence key metrics and make recommendations.
Work backwards from problem understanding and sizing to ideating solutions.
Produce recommendations and use statistical techniques, hypothesis testing, and experimentation to validate findings.

Requirements

6+ years of experience in data analytics, consulting, or related quantitative roles.
Experience leading/owning strategic projects to completion with multiple cross-functional teams.
Excellent stakeholder management skills, with the ability to collaborate effectively with strategy, operations, product, finance, and engineering teams while prioritizing competing needs.
Very experienced with SQL queries, Basic ETL, and Regression techniques.
Proficiency in at least one programming language, preferably Python or R.
Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing.

Skills

Data Analytics
Consulting
Quantitative Analysis
SQL
Python
R
ETL
Regression Techniques
A/B Testing
Causal Inference
Hypothesis Testing
Stakeholder Management
Generative AI

Location

Work Type

Hybrid (3 days in-office, 2 days remote)

Experience Level

6+ years

Education Level

Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain

Benefits

Comprehensive benefits and perks

About the Company

DoorDash is a technology and logistics company focused on empowering local economies through a three-sided marketplace (Consumers, Merchants, Dashers).
The company is rapidly growing and constantly changing, offering opportunities for team members to share unique perspectives, solve new challenges, and own their careers.
DoorDash is committed to supporting employee happiness, healthiness, and overall well-being.

Equal Opportunity

Committed to growing and empowering a more inclusive community within our company, industry, and cities.
Hires and cultivates diverse teams of people from all backgrounds, experiences, and perspectives.
Believes true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Provides accommodations upon request to ensure equal opportunity.