Data Analytics Leader for New Verticals Growth

3 weeks ago


Stockholm, Stockholm, Sweden Wolt Full time
About the New Verticals Team

The New Verticals Team at Wolt is responsible for expanding the company's offerings beyond restaurants. Our mission is to make Wolt the best place to order anything with unprecedented convenience and world-leading customer experience. We work closely with cross-functional teams to ensure solid organic and inorganic growth plans, executing them perfectly in our country operations and disseminating best practices across the organization.

About the Role

We're looking for an experienced Data Analytics Leader to join our team in Finland, Sweden, or Germany. As a Lead Data Scientist at Wolt, you will partner with business and product leaders in the New Verticals domain, leading a team of Data Scientists focusing on commercial areas. Your scope will range from helping cross-functional teams use data points to size opportunities, identifying and measuring levers to help move essential metrics, and aligning executives around what matters and why. You'll build and manage a team of go-getters who take ownership of business outcomes.

Our Offerings

You'll have the opportunity to work with a dynamic team, leveraging geolocational and temporal data in real-time. You'll also have the chance to choose your location from our tech hubs or work remotely within our available locations. We offer a flexible work setup, and you'll have the opportunity to decide how you work best. Our company culture values ownership, humility, kindness, and learning, and we're committed to recognizing and rewarding our team members for their contributions.

Qualifications

We're seeking a qualified candidate with a degree in Mathematics, Statistics, Computer Science, or a related field. You should have 5+ years of experience in a Data Analytics or Data Science position, with 2+ years of leadership experience. Prior experience in hiring and mentoring skilled members is also a plus. You should be proficient in SQL and statistical analysis using Python, R, or equivalent, and have expertise in experimentation techniques and hypothesis testing. You should also be able to build intuitive data visualizations and dashboards using tools like Looker, Tableau, or Mixpanel. Clear and concise communication is essential, as is the ability to work and communicate effectively in English.

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