Data Analyst @ Deliveroo
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Job Details
The Role
At Deliveroo, our data science organisation is dedicated to enabling top quality human and machine decision-making across product, business and platform teams. As a Data Analyst, you will harness metrics and tell the stories hidden within data to drive impactful business decisions.
What You'll Be Doing
- Collaborate with commercial stakeholders to enhance data availability and business impact.
- Discover, analyze, and interpret trends in complex datasets.
- Deliver actionable insights and ad-hoc analyses to executive teams.
- Identify key business drivers and provide data-driven recommendations.
- Work with Analytics Engineers on data quality and automation.
- Share best analytical practices across teams and regions.
Requirements
- Expertise in SQL query writing and database structures.
- Proven skills in data storytelling and crafting visualizations.
- Advanced proficiency in Excel/GSheets with pivot tables and functions.
- Experience with data visualization tools such as Looker, Tableau, or Periscope.
- Ability to identify root causes, assess risks, and implement solutions.
Why Deliveroo
Deliveroo is transforming the way people eat and shop by connecting consumers with local restaurants and shops. With a focus on technology-driven innovation, small teams make a large impact by answering challenging questions and driving business growth.
Workplace & Benefits
This is a hybrid role offering various country-specific benefits including healthcare, well-being, generous leave allocations, and more.
Diversity
Deliveroo values diversity, equity, and inclusion and welcomes candidates from all backgrounds. Adjustments for the interview process are available upon request.
Key skills/competency
- SQL
- Data Storytelling
- Visualization
- Excel
- Automation
- Causal Inference
- Metrics
- Ad-hoc Analysis
- Communication
- Data Quality
How to Get Hired at Deliveroo
🎯 Tips for Getting Hired
- Research Deliveroo's culture: Review their mission and recent news.
- Customize your resume: Highlight SQL and visualization expertise.
- Tailor your application: Emphasize data storytelling and insights.
- Prepare for interviews: Practice technical querying and scenario questions.