Analytics Engineering is a vital area at Wolt, and now we’re looking for an Analytics Engineering Lead to head up our brand-new team in Helsinki, Stockholm, or Berlin.
At first, the Data Horizontals team will consist of two senior analytics engineers, but in the future, we hope this team to grow further, so this is just a starting point 🚀
The team will focus on various domains at Wolt – this is a unique opportunity to experience different sides of the business and expand your knowledge beyond one specific domain.
More insights about the role
What does success in these roles look like?
Our stakeholders turn to Analytics for objective and reliable measurements and insights. Success in your domain area means that you together with your team members a) establish a solid and scalable reporting framework with your Product and Data stakeholders, b) provide Operations stakeholders with reliable tracking of the business metrics (that you help to design) and c) guide the design and implementation of automation needed for enabling the stakeholders as well as Analytics team members. Experience in the domain area is essential as we want to see a leader who’s not only passionate about analytics in general but also applying it in a certain domain.
Will I get to do hands-on data work?
We are looking for a lead who would split their time 50/50 between hands-on work and team leadership. While the role will be more hands-on initially, the time used for team leadership may increase as the team grows. In general here at Wolt, we value doers so even in senior leadership roles we value that if need be you can do the hands-on work.
Analytics is a team effort
You’ll also need to be the representative of your function towards the rest of the organization, so strong communication and presentation skills are needed. As analytics is a team effort you have to be a cultural leader that cares for the wellbeing and constant improvement of your team members.
Our offering to you
Lots of room to build the direction of analytics at Wolt. Our Product and Operations organizations will be growing too, meaning that you have the chance to build the team around you and shape the way the organization works with data and analytics.
You can choose the location from our tech hubs Helsinki, Berlin or Stockholm. You have the chance to decide the ways of working - a hybrid, at the office, or remote within the locations above. 💙
In addition to our country-specific benefits, our compensation package includes a monthly salary based on your expertise and equity. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you'll own a piece of the pie. 🚀
You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. 🤩
4+ years of experience in data-related roles - data engineering, business intelligence, or analytics engineering.
1+ years of leadership experience.
Expertise with SQL and ETL tools (Airflow, dbt, or similar).
Experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.
Ability to influence senior leadership to make critical decisions.
Clear and concise communication with strong cross-functional partnership experience.
Ability to work and communicate effectively in English.
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!
The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.
For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva ([email protected])
