Data Analyst – H/F

Contenu de l'offre Data Analyst – H/F chez MALHERBE Paris

At MALHERBE PARIS, our independent creative agency at the crossroads of art and commerce, international leader (Paris, Shanghai, Hong Kong and New York) in retail design and digital creation, we work with major global brands on design and retail strategy (Hennessy, Dior, Sephora, L’occitane, Krug, Cartier, etc.). For 28 years, we have been asserting the difference of a French culture and imagining new shopping experiences by combining a creative approach based on elegance, innovation and freedom of expression, applied to a multitude of retail professions: cosmetics, jewellery, department stores, shopping centers, mass distribution, food & beverage, travel retail, etc.

To find out more: https://www.instagram.com/malherbeparis/

We are looking for a data analyst to support the digital team in responding to client briefs and calls for tender. Your responsibilities will include tracking, collecting and analyzing data and online trends to develop actionable insights and recommendations and build campaign strategies.

Role requirements

MISSION

Responsibilities

Collect and analyse all data generated by the activity of the agency’s clients (marketing, web behavourial data etc) Test campaigns, analyze key metrics, and identify opportunities to increase campaign performance Extract and translate business data into statistical data in order to develop and present actionable insights and recommendations Define marketing campaigns target based on consumer trends Guide clients’ decision-making by acting as a consultant and subject matter expert Manage dashboards and data visualization tools to allow the agency’s clients to follow the performance of their products Suggest and take on recommendations of tools and databases

Qualities & characteristics

PROFILE

Master’s degree in marketing or a related field 2 to 5 years experience in a similar role Experience with analytical, reporting and data visualization tools Knowledge of programming languages Experience with statistical tests and methods Excellent interpersonal and collaboration skills Strong communication and presentation skills Curiosity and taste for innovation Fluent in English