Data Analyst

Qomodo e’ una fintech, composta da un team proveniente dalle principali ventures italiane e straniere VC-backed come Rocket Internet, Delivery Hero, Sum Up, Amazon, Dash e Credimi.

Siamo alla ricerca di candidati/e imprenditoriali/e ed ambiziosi/e che desiderino acquisire esperienza in un ruolo commerciale per una nuova L’internship si svolgerà in maniera ibrida remoto-ufficio (San Sepolcro), offrendo la possibilità di partecipare alla fase di strategia iniziale e zero to one. I founders hanno chiuso da poco uno dei pre-seed più grandi d’Italia, con una raccolta di capitali di diversi milioni provenienti sia da Venture Capital europei ed italiani che da top tier angels italiani, UK e tedeschi.

Responsibilita’

• Focus on one or more strategic areas within Qomodo: Marketing, Sales, Product, Operations, Business Performance
• Perform analytics tasks relevant to your domains
• Liaise with other teams to define goals and requirements, while providing an expert point of view
• Visualize and present the resulting insights to a range of stakeholders
• Build simple to fairly sophisticated prediction models (E.G. LTV, Churn, etc.) and/or KPIs projections
• Extend the core model of our data warehouse by creating the pipelines required to perform your duties, then productionise them in collaboration with our Engineers
• Introduce processes, tools and methodologies in the data use cycle
• Turn recurrent analytics tasks into quality data products
• Establish and evolve KPIs frameworks for performance monitoring

Requirements

• 1+ years experience as a Data Analyst, Data Scientist, or a similar role
• Programming skills in SQL, Python, or other relevant languages
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills
• Flexibility and precision

Preferred experience include:

• Domain knowledge in either of the aforementioned areas (marketing, product, etc.)
• Application of descriptive statistics
• Design and analysis of AB tests
• Causal impact analysis
• Customer research
• Predictive analytics
• Data Visualization tools (Tableau, Looker, PowerBI, etc.)
• Familiarity with Agile methodology – Scrum/Kanban
• Degree in Mathematics, Physics or other quantitative fields
• Curiosity towards the evolutions in the Data field, resourcefulness

Benefits

• Un’opportunità di acquisire esperienza in un’azienda leader nel settore
• La possibilità di lavorare a stretto contatto con esperti/e di vendita e marketing
• La possibilità di imparare e sviluppare competenze nel commercio e nel marketing
• Un ambiente di lavoro stimolante e dinamico