Business Intelligence Analytics Manager
- Chiasso, Switzerland
- Department: Data Strategy
lm group is a publicly traded multinational Group, among the worldwide leaders in the online travel industry and we operate a portfolio of well-known brands such as lastminute.com, Volagratis, Rumbo, weg.de, Bravofly, Jetcost and Hotelscan.
Every month, the Group touches 45 million users across all of its websites and mobile apps (in 17 languages and 40 countries) who search for and book their travel and leisure experiences with us. A team of more than 1,200 passionate people enjoy working with us, supporting our mission to provide a comprehensive and inspiring offering of travel related products and services.
lm group is looking for a Business Intelligence Analytics Manager for its Business Intelligence department based in Chiasso.
He/she will lead and develop a team of data analysts that use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into product initiatives that will support our business outcomes.
Organize and drive successful completion of data insight initiatives through effective management of analysts and tight collaboration with different company stakeholders
Support our Product department using advanced data modeling, ab-testing and analysis techniques to discover insights that will guide strategic product decisions highlighting optimization opportunities
Periodically communicate business results, impacts and insights of our product initiatives
Act as entry point for BI stakeholders for data/analysis needs managing them directly and/or addressing them to proper BI team
Implement analytical approaches and methodologies and assist into results interpretation
Recruit, train, develop and supervise data and business analyst employees
Skills and Experience
Bachelor or master level degree in Statistics, Mathematics, Mathematical Engineering or Physics
At least 3 years of experience in similar management position
Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
Strong background in analytical visualizations, optimization dashboards and advanced quantitative skills that includes data mining, statistical modeling, predictive analytics and ab-testing techniques
Strong SQL skills and ability to perform effective and complex querying involving multiple tables and subqueries
Strong knowledge of Excel
Fluency in English
Previous experience inside an e-commerce based company
Knowledge of R tool and Python language
Knowledge of Google Spreadsheet
Proactive problem solver with strong analytical mindset and motivation to impact positive results converting insights into strategic opportunities for our company
Passionate about learning new things and questioning existing processes and applications
Strong ability to plan and manage numerous processes, people and projects simultaneously
Excellent communication, collaboration, prioritization and delegation skills