POSITION

As a data analyst at Yubo you will help us shape a better community thanks to your ability to structure and transform large and complex data sets into meaningful insight.
You will report to the Head of Finance in the Paris team and will work directly with the product, technical and marketing teams in order to improve our app through data and analysis.

CORE RESPONSIBILITIES

• Provide on-going reporting and performance monitoring from multiple data source
• Work closely with the app’s stakeholders to further understand, model, predict, segment and monetize our users
• Proactively developing new analyses and insights to drive decisions and strategies for user acquisition, retention, monetization
• Translate analytical and reporting requirements into SQL queries, data flows and new solutions or features in the data warehouse
• Help script, maintain and create automated processes for pulling and reporting data
• Debug and problem solve issues to ensure delivery of accurate metrics
• Maintain clear and comprehensive documentation
• Have a deep understanding of large data, our data structures and how to manipulate our data in an efficient manner
• Build and manage team of data analysts in order to support the growth of the company

REQUIREMENTS

• Good analytical skills and knowledge of the main KPIs of the mobile application business model
• Ability to understand stakeholders expectations
• Significant experience performing quantitative analysis, preferably in the mobile app industry
• Background in statistics, BI, economics, engineering, data mining or other technical field required
• Good knowledge of Python and SQL
• Knowledge of BigQuery
• Experience with BI tools (knowledge of Amplitude is an advantage)
• Possess business and commercial sensitivity and the ability to explain problems and solutions effectively to both technical and non-technical audiences
• Ability to work with deadlines
• Fluency in English

EDUCATION AND WORK EXPERIENCE

• Graduated from a top Engineer/Business school or equivalent
• > 3 years of experience

• Fit interview with Head of Finance
• Technical Test with the Operation & Finance team
• Fit with Lead data engineering and CTO
• Fit with CEO&COO
• Fit with CPO & product team