Data Scientist e-commerce - Manager

We are looking for a Data Scientist Manager with 5+ years’ experience in analytics, a strong business sense and experience in the e-commerce domain. 

Requirements

What we offer

• Interact with senior stakeholders at our clients on regular basis, to drive their business towards impactful change.
• Become the go-to person for end-to-end data handling, management, and analytics processes.
• Lead your team in creating the pipeline for data management, data visualization and analytics products, including automated services and APIs.
• Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation, and visualization.
• Become part of a fast-growing international and diverse team.

What you will do

• Contribute to the delivery of analytics capability by collecting, tracking, mining and analysing data and generating fact-based insights. 
• Provide deep understanding of the e-commerce world and landscape: a strong view on how to increase reach, engagement, buy and advocacy throughout the journey.
• Translate gathered insights into engaging, actionable and easy to digest insights presentations, including visualisation.
• Solve problems, define scopes, disaggregate issues, develop hypotheses and actionable recommendations from data and analysis.
• Apply results and architect solutions with the project team.
• Prepare and facilitate workshops at clients.
• Manage client relationships & deliver parallel projects independently
• Guide and train junior team members of the team.

What you’ll bring

• Advanced ecommerce / analytics experience in a consulting environment.
• 5+ years of professional work experience in the analytics domain.
• Basic experience with analytics tools and disciplines.
• Basic experience with databases and SQL, visualization techniques and data analysis tools (ex: Power BI or Tableau).
• Solid project management, prioritization and time management skills, including the ability to work on several projects simultaneously.
• Expertise in analysis in the field of Marketing analytics or CLM/CRM analytics.
• Strong hands-on experience in Python and SQL.