Analytics Engineering Internship

Ankorstore is on a mission to rewild retail.

With decades of experience in retail and building marketplaces, in 2019 the Ankorstore founding team knew it was time to create a global wholesale solution – one that swings the balance in favour of independents and restores retail to its natural order. They’ve created a new ecosystem that harnesses the power of modern technology to create a mutually beneficial community that reinvents the way brands and retailers work together. As a result, wild independents can thrive.

Ankorstore was founded in 2019 to build a platform that enables independent shops and brands to connect and thrive. As a result, we became a wholesale marketplace that provides the tools these entrepreneurs need to compete against e-commerce giants.

We work with a network of independent retailers all across Europe, including concept stores, design shops, boutiques, fine food stores and other retailers. Brands retain complete control over which retailers they choose and who they sell to.

We support businesses and local economies, not corporations, employing communities of creative people who value craftsmanship over mass production and mass-market deals.

Only two years after our successful launch, we gathered 300,000 retailers and 30,000 brands across Europe and reached unicorn status with a valuation of €1.75 billion.

In less than three years, we grew to a company of 600+ employees of 45+ nationalities and six offices across five countries (France, the UK, Spain, Italy, and Germany).

The role

You will report to one of our Senior Data Analytics Engineers and be part of a team of people distributed across several locations in Europe.

If you are deeply passionate about data-driven decisions, transforming raw data into clear, actionable business insights and enjoy using your creativity to make data a strategic asset in one of the hottest scaleups in Europe, this is the perfect opportunity for you!

Main responsibilities

• Develop visualisation dashboards and ETL (Extract, Load, Transform) jobs
• Support the development of a new BI data warehouse
• Participate in the definition of analytics layers and best practices to develop a data-driven culture at the company level
• Work closely with data engineers and data analysts to unlock the full analytics potential of our data structure

Requirements

• Strong analytical skills
• Proficiency in SQL
• Experience with an object-oriented programming language (ex: Python)
• Experience with Git & GitHub
• You are curious about both the business and the technical sides of things
• You are a team player - always demonstrate a ‘can-do’ attitude and want to work in a team
• You are fluent in English
• Be available for a full-time internship for 6 months in Paris, Barcelona or London
• Immediately available to start (from mid Feb / beginning of March)

Other skills that would add value

• Knowledge of Google Cloud stack or another cloud provider
• Knowledge of containerization/orchestration tools (ex: dbt, Airflow, Docker, Jenkins)
• Fluency in French
• Experience in a Data Analyst or Data Engineer position will be considered a plus

Benefits/Perks

• A highly dynamic environment at a stage where you’ll be able to shape things autonomously and play a part in the organisation's future.
• A real playground for development with strong people, mentors and exciting career opportunities, locally or internationally
• We are a remote-friendly company; depending on your role, you will have a full remote or a hybrid contract.
• Attractive salary and benefits
• Team offsites and fun events

Learning more about Ankorstore

• Look around and visit our website, LinkedIn, Instagram, Facebook, Youtube and profiles on 50inTech and Welcome to the Jungle.
• Read about us in the media: How to build a 2 million unicorn in under 3 years, Rewild Retail, Ankorstore is shaping the shopping of the future.

*Please, send your CV in English

Ankorstore is proud to be an equal opportunity workplace dedicated to promoting diversity. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.