Lead Product Growth Analytics

Ankorstore is an ecosystem that enables independent brands and retailers to thrive.

We're on a mission to rewild retail and restore it to its natural order by empowering brands and retailers to grow freely, embrace their creativity, and stay competitive.

Our platform harnesses the power of technology to create a mutually beneficial community that reinvents the way brands and retailers work together.

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 to swing the balance in favor of independents and return them to their rightful place - at the centre of their communities.

Just two short years later, we've grown to a team of over 650 employees operating across seven offices worldwide, and we'll grow even more in 2022. After fundraising in January 2022, taking our total funding to ?365 million, Ankorstore is thrilled to have achieved "unicorn" status in just two years.

We're scaling fast and looking to grow our team with world-class candidates to support our vision of rewilding retail!

About the role

We are growing our Data Team at Ankorstore!

If you are deeply passionate about data-driven decisions, about transforming raw data into clear actionable business insights and like to use your creativity to make data a strategic asset in a fast-growing start-up, this is the perfect opportunity for you! Your role will include the following:

• Be the owner of all growth data topics (including paid, lead generation, crm, attribution, ...)
• Manage a growing team of data analysts to help you deliver the best dashboards and analysis
• Own all our growth data and tools (incl. visualization)
• Lead any projects aiming at improving the quality, structure and way we leverage data at Ankorstore
• Guide our analytics methodologies and ensure consistency across teams
• Support operational teams on their needs for actionable / operational insights

Requirements:

• You have at least 5 years of experience in tech product data and analytics
• You have extensive experience in SQL and visualisation platforms
• You are proficient in Python (Pandas, scikit-learn, ...)
• Analytical - you like to answer complex business questions through data. You are able to structure and process qualitative or quantitative data and draw insightful conclusions from it
• 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
• Creativity & proactivity - you can find creative and simple solutions to tricky problems, using new approaches, tools and/or testing new ways of leveraging data
• You are a team player - you always demonstrate a 'can-do' attitude and want to work in a team
• You are fluent in English

Other skills that would add value:

• Fluency in French, German, Dutch or Swedish (or any other European language is a plus)
• You have an entrepreneurial mindset.
• You have the ability to work in fast-paced environments on collaborative projects

Why you should join Ankorstore

• It's a once in a life-time opportunity to join one of the fastest growing European startups
• Our ambitious, mission-driven team is backed by proven VC funds (Tiger Global, Bain Capital)
• We have strong values, and international culture and work in English only
• Our environment is highly dynamic, we're scaling quickly and currently at a stage where you will be able to shape the future of the organisation
• We have strong people-investment values and offer many exciting career opportunities, locally and internationally. We encourage continuous learning & growth and give unlimited access to the e-learning platform Udemy
• Our compensation and benefits are competitive in the market
• We offer the possibility to work remotely, in the office or hybrid across many countries in Europe

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