Data Analyst

• Lead complex analytics projects or workstreams covering multiple domain areas.
• Problem-solve with the right balance of rigour, technical complexity and explainability, keeping in mind the practical constraints of our real-world business and operations.
• Define and align with stakeholders on key metrics, design and propose experimentation strategies / analytical studies.
• Perform hands-on work: generate a hypothesis, analyze experiment results and provide recommendations.
• Role-model high standards of rigour in how we make measurements, experimentation, analyses and recommendations. Safeguard the integrity of how data is used and understood to ensure we maintain objectivity in our reasoning, actions and decision-making.
• Mentor team members, supporting their professional development in both hard and soft skills.

The Must-Haves:

• 1-2 years of experience in leading small to medium-sized teams will be required.
• 5+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science.
• Fluent with SQL, Python, or R. Fluent with BI tools such as Tableau, PowerBI, SuperSet, etc. Experienced and comfortable working with very large datasets in a distributed environment.
• Effective communicator, able to convince and align with stakeholders and code-switch between technical and layman speak.

The Nice-to-Haves:

• Relevant industry experience (preferably in an Internet or ‘Direct to Consumer’ company with high-velocity data and scaled controlled experiments) and/or prior experience with Product Analytics or business-facing operations will be a plus.
• Strong statistical knowledge with hands-on experience running and analyzing controlled experiments.
• Strong storytelling skills & experience across the Product Analytics workflow - from user activity tracking to downstream analysis
• Experience in a cloud-native environment
• Ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision-making while maintaining a high attention to detail.