About us 

We are in business to save independent retail in Europe!

Across our towns and city centres, unique neighbourhood shops have been overshadowed by large chains and e-commerce giants. To combat this, we’ve created a BtoB wholesale marketplace designed to help independent retailers to compete against larger competitors and thus maintain a connected community of stores, brands and shoppers in the places we live.

Established in 2019 in France, we’ve since expanded to other European countries, including Spain, Germany, UK and the Netherlands. Driven by our commitment to customer satisfaction, we constantly innovate to develop cutting-edge tools and services that set new standards in the market.

Get in touch if you are looking to join a purpose-driven, international team that revolutionizes an old-fashioned industry!

Together Let’s Rewild Retail! 

The Team :

We are looking for a Senior Data Analyst to join our Data Analytics team, whose mission is to play a pivotal role in leveraging our data as a significant asset to achieve our only mission: making our retailers and brands thrive.

You will hold a cross-functional role that bridges our data engineers and our business teams.

Main responsibilities :

• Help us refine and implement our vision of a data driven company;

• Bring your expertise to provide game-changing and actionable business insights through data;

• Transform complex business problematics into clear data driven solutions with actionable business outcomes;

• Build the products that will empower our teams to monitor their key performance indicators and drive accountability;

• Maintain a high standard on data quality by owning data processes and best practices;

• Help and train our business analysts to understand our data and use our tools

Requirements :

• At least 2+ years of experience as an analyst in a tech startup, in a global corporation or in a consulting firm

• SQL Skills

• Ability to answer complex business questions through data. You are able to structure and process qualitative or quantitative data and draw insightful conclusions from it

• Ability to show attention to detail & curiosity. You do not let important details slip through the cracks! You like to dig into 'strange' trends and find the story behind them

• Proven Creativity & proactivity skills. You can find creative and simple solutions to tricky problems, using new approaches, tools and/or testing new ways of leveraging data

• Team player

• Excellent written and verbal communication skills in English

Other skills that would add value:

• Experience using Python on a Data Science project

• You have experience in the retail industry

Benefits/Perks  :

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. Remote friendly from Paris on this position.

• 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 + 10  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

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.