• Education and Experience
• Bachelor's degree or Master's in a quantitative field such as Statistics, Mathematics, Economics, Applied Psychology, Quantitative Social Science, Computer Science or a related discipline
• 5+ years experience as a data analyst, data scientist or similar role
• Strong analytical thinking and experience extracting insights using a statistical approach
• Experience running A/B tests and experiments
• Experience working with data visualization platforms (e.g. Tableau, PowerBI, Looker)
• Experience collaborating with and supporting cross-functional teams on data analysis and execution of experiments
• Fluent in English, French is a plus
• Technical skills
• Strong SQL skills with expertise in querying, manipulating and analyzing data
• Proficiency in statistical analysis, data cleaning and preparation and data manipulation in Python
• Familiarity with data visualization libraries
• Are proficient in SQL and Python
• Are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data
• Have excellent focus, prioritizing your research and work using an iterative approach (you know when a project is good enough to stop, and you rarely get lost in details)
• Are able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data
• You excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation

Desirable

• We are looking for an experienced Senior Data Analyst to join our User team
• In this role, you will collaborate closely with the product manager and cross-functional teams to analyze user behavior within the app, assess the impact of features and changes, and provide answers to key questions about our user base
• This Senior Data Analyst position is equivalent to a Data Scientist in terms of the level of work and responsibility
• Be embedded closely with our operations and product teams: deriving insights from customer, merchant and agent data, visualizing data, and working with operations leads and product managers to improve user and business outcomes
• Navigate large data sets to identify growth drivers and generate testable hypotheses
• Design, develop, implement and analyze experiments related to product features and operational processes
• Take ownership of the analytics process - from project scoping and design through communicating findings to stakeholders
• Support building up our data infrastructure together with our engineering team
• You may rotate to other product teams over time