Main responsibilities :

Reporting to Jessica (our VP Product), you will be in charge of all the data and analytics of the company, including:

• Data strategy: How to structure our data ? Where to get it from ? How to display it and make it accessible ? How to make non-data people autonomous in their analysis ? How to make sure every data customer is happy ?

• Analytics: What are the right KPI definitions ? What are the right dashboards for the company? What’s a good deep-dive ? How to manage your team so they can deliver these things with high-quality standards ? How does all of this differ for different teams, such as Marketing, Sales, Finance, or Product ? And above all, how do we make sure the data team is having an impact on the business and product ?

• Data Science: What are the best algorithms for Search and Recommendations ? How do we embed personalization ? How do we connect different data sources to create amazing data products for our customers ?

• Data/Analytics Engineering: How do we create a reliable and strong data platform ? How do we create a robust and actionable data model ?

  You will manage the teams of data analysts, data scientists and data engineers/analytics engineers. Note that while data scientists and analysts will report to you, they will be embedded in their respective business/product teams, which will be their primary team.

  You will be ultimately in charge of hiring them, training them, coaching them, coordinating them, and creating a culture of data science and analytics excellence across the company. You will collaborate with business leaders across the organization to make it happen.

Requirements :

• 10 years of experience in analytics, data science, data engineering and leadership positions

Top analysis and analysis management skills: :

• Experience leading the data strategy of a company

• Ability to break down and analyze complex problems

• Proven track record of tackling all types of analysis and data problems found in tech companies, including proper AB-testing, multi-armed bandit, tracking, dashboarding, BI engineering, advanced analytics etc.

• Proven track record of successfully leading a data science team that deals with complex data science problems such as ML for search and recommendations

• Experience working with vendors for all data needs, from tracking to search.

• Ability to scale a data team by implementing processes & standards and by handling taxonomy, data documentation and tools deployment

• Experience working closely with the data engineering team. Experience handling them is a plus.

• Ability to be hands-on and to deep dive on some data projects

Management :

• Proven track record of building A+ analytics teams

• Experience leading a matrix organization, where most of your reports are allocated into other teams.

• Experience building progress tracks for a large organization, where every member contributes and also grows.

• Strong communication skills to manage relationships horizontally, downwards, and upwards.

• Ability to advocate and champion data literacy and fluency across the functional areas of the organization

Location : Preferably in Paris (France), but open in Spain, UK, and Germany

Benefits/Perks  in France :

At Ankorstore we offer a versatile range of benefits to support employees’ well-being and work-life balance, fostering personal growth within an innovative and adaptable work environment.

• We are a remote-friendly company; depending on your role, you will have a full remote or a hybrid contract

• All of our employees are automatically covered by Health Insurance & Life Insurance. Our Health Insurance (Mutuelle) and Life Insurance (Prévoyance) are Alan

• We have partnered with Swile to provide you with meal vouchers

• You will have access to Leeto a platform that provides you with exclusive discounts, cultural activities, holiday vouchers and more

• Enjoy health benefits through Class Pass, offering you the flexibility to attend in-person classes, digital sessions, or wellness workshops, keeping you active and engaged

• 25 days of paid leave + RTT

• 50% of the annual/monthly/weekly ticket for public transportation

• Modern WeWork offices located in the Opera neighbourhood in Paris, providing a vibrant and inspiring work environment

• 360Learning, a dynamic learning platform offering engaging, customized training experiences and fostering skills development across the entire organization