Description

I lead end to end business performance projects implementation (cross department analytics and dashboards, revenue operations tools and processes, CRM implementation, etc.), from assessment and scope definition to technical implementation and long term operationalisation. I am used to work with a wide range of stakeholders from C-level executives to data analysts and engineers throughout the phases and specificities of each projects.

I thrive in fast growing and complex environments, where I can put my cross-functional, management, analytical and hands-on experience into action.

I am genuinely curious about industries and business challenges and I would be eager to know more about current context and work hand in hand with your teams to implement what makes sense to drive your performance forward !

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual
Spanish
Native or bilingual

Workplace preferences

Can work on-site

Madrid (up to 50km)

Ornikar
Sales Strategy and Operations
E-COMMERCE
April 2024 - October 2024 (6 months)
Paris, France
Defined strategy and objectives for an externalized salesforce business unit, aimed at boosting onsite conversion rates and overall sales.
Launched and grew day to day operations of the newly created business unit, from hypothesis testing phase to sustainable growth pillar.
Sales Operations Stratégie commerciale Analyse de données Business plan Business model
Multis
Business Operations
BANKING AND INSURANCE
June 2022 - October 2023 (1 year and 5 months)
Paris, France
Multis is an all-in-one application to help web3 organizations manage their crypto finances. multis.co
sennder
sennder - Head of Business Data & Analytics Products
LOGISTICS AND SUPPLY CHAIN
July 2020 - June 2022 (1 year and 11 months)
Paris, France
Leading a cross functional team of 30 (product management, data engineering, machine learning engineering, data analysis). Building roadmap to achieve ambitious business goals (growth, profitability, sustainable processes) through highly data driven applications and decision making processes.