As a Data Analyst on the Driver Earnings team, you will analyze and improve earnings products, providing insights and recommendations to drive financial performance and marketplace growth.
Confirmed Product Analyst - Demand
📅 Jul 30
Data AnalysisSQLProduct AnalyticsFunnel Analysis
📜 Description
- Partner with Product, Marketing, and Business stakeholders to understand their goals and frame analytical questions.
- Collaborate with Data Engineers, Data Scientists, and other Data Analysts to improve data product quality and usability.
- Lead end-to-end analyses on product and business topics such as marketplace dynamics and member behaviour.
- Investigate the 'why' behind trends and performance changes using exploratory analysis and statistical reasoning.
- Build clear narratives from data to communicate findings and recommendations effectively.
- Contribute to reusable business knowledge by documenting insights and analytical frameworks.
🛠️ Requirements
- Master’s degree or equivalent: engineering school, business school, etc
- At least 3 years of professional experience working as a Data Analyst
- Strong SQL skills and hands-on experience analysing large and complex datasets.
- Good understanding of product analytics, funnel analysis, cohort analysis, segmentation, experimentation, and performance monitoring.
- Ability to structure ambiguous problems, challenge assumptions, and translate business or product questions into robust analytical approaches.
- Experience with data visualisation, with a strong sense of how to design clear, trustworthy, and decision-oriented outputs.
- Solid communication skills: you can turn analysis into a compelling story, adapt your message to different audiences, and influence decisions with clarity and humility.
- Comfort working with cross-functional teams and building strong stakeholder relationships.
- Curiosity for product, growth, marketplaces, and member behaviour, with a pragmatic mindset focused on impact over perfect analysis.
- Python or another analytical programming language, causal inference, or advanced experimentation knowledge is a plus.
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