Luxurynsight

Data & Business Analyst Intern

Posted: just now

Job Description

Luxurynsight is a SaaS data-driven business intelligence software company specializing in the luxury, fashion and beauty markets.Luxurynsight's mission is to make data useful and actionable for luxury decision-makers, who use our platforms to monitor their markets and make strategic decisions based on factual information.Present in France and China, Luxurynsight is the strategic data partner of key groups and brands in the Luxury, Fashion and Beauty markets such as LVMH, Kering, Chanel, Bulgari, Armani, L'Oréal, Coty, Puig in France and abroad.In strong growth and made up of a multicultural team of around fifty people, Luxurynsight recruits curious, structured and motivated candidates wishing to invest in a pioneering and singular business project, in a buoyant, dynamic and inspiring sector. To support its development, Luxurynsight is looking for qualified profiles in growth (marketing, sales, customer success), tech (developers, product), data (data engineer, business & data analyst), insights (insight analysts, project managers), research (research and competitive intelligence officer).This is an internship role located in Paris, with 1-day remote work per week.As a Data & Business Analyst Intern, you will join our data department and work closely with a team of data experts specializing in the luxury sector from over 14 countries around the world.Role And ResponsibilitiesReporting to Data Project Manager, your main responsibilities will include:Participate in data extraction, consistency checks, identification of anomalies and data validation to ensure a smooth running of existing data projectsAnalyze monthly/quarterly data on products, prices and retail channels in international luxury marketParticipate in customized analytical project: conduct research and generate key insights related to consumer behavior/ market evolution/ competitor benchmarkingCurrently pursuing a Master's degree in Luxury, Data, Business or any related fieldRelated experience is highly appreciatedProficiency in Excel, knowledge in Power BI, Python is a plusData driven, proactive, detail-oriented with analytical & problem-solving skillsExcellent written and verbal communication skills in English & Chinese. French is a plus

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