Analytics Engineer (Merchant/Wolt Market)

Company Description

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to home or to the office. We were founded in 2014 and joined forces with DoorDash in 2022 - of the 27 countries that DoorDash operates in today, 23 are with the Wolt product and brand.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Join us today to build Wolt together!

#LI-ZF1

Job Description

Analytics at Wolt is a business-critical area that covers three different teams — data science, product data analytics, and business intelligence. The complexity of online delivery, differences in the economics and dynamics of the cities we operate in and vast amounts of data make our work truly interesting!

Now we are looking for two Analytics Engineers to join us in Helsinki, Berlin, or fully remote in Finland, Germany, Sweden, Denmark, or Estonia!  Read more about our remote setup here.

What options do we have on the table?

👉 Embedded Analytics Engineer working with the Merchant domain

👉 Embedded Analytics Engineer working with the Wolt Market domain

These roles are focused on the business needs - you’ll be working within a cross-functional team, supporting one domain at a time (Merchant or Wolt Market). Your goal will be to make sure your domain team gets the insights needed for their operations. The role requires interpreting the needs and requests of our internal stakeholders, and transforming them into actionable data. Data analysts and data scientists working in the domain will be your closest partners in your day-to-day work, as your solutions will enable them to create relevant machine learning models and analysis.

During the hiring process, we will discuss all the opportunities to ensure you’re joining the right team that truly inspires you and boosts your career goals! 

Your daily work will include:

• Developing reporting as a whole, from understanding the needs of the business to providing easily understandable and actionable data. 

• Working on our centrally maintained Looker data integrations, data pipelines, data models, and dashboards. You'll get to utilize our modern BI stack as part of your work (Python, Looker, Snowflake, Airflow, AWS, Kafka, Github).

What we offer:

• Complex environment with tons of data just waiting to be utilized — you’ll get hands-on experience in working on various projects, tools, and datasets. 

• You can choose the ways of working - you can work 100% remote, hybrid with occasional visits to our tech hubs in Helsinki or Berlin or onsite.

• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, think big but stay humble, do right by people, treat others kindly and justly, and recognize 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. Read more about how we work. 

Qualifications

Our humble expectations:

• Plenty of experience working as a BI Developer, Analytics Engineer or Data Engineer.

• Strong hands-on experience with data integrations, data pipelines, data models, and dashboards.

• Tech skills: Python, SQL, Airflow, Kafka, AWS, and one of the modern BI tools (Tableau, Power BI, Looker or similar).

• Since you’ll be taking care of our internal stakeholders, we’re looking for someone who truly enjoys interacting with people on a daily basis. The ability to search for information and ask relevant questions from various teams will be crucial. 

Additional Information

FAQ:

- I’ve never worked with workflow automation tools like Airflow or Azkaban before. Is this a blocker for me to be an Analytics Engineer?

You’ll get to build and maintain data pipelines, which will require you to work with Airflow on a regular basis. Experience with such tools is highly appreciated but not a must as we are willing to teach you. All you need is the desire to learn, and learning will be even easier if you have worked with Python before.

- What is the split of dashboard development and data plumbing tasks? 

Focus of this role is on building the basis for reporting needs, hence majority of the tasks will be related to creating datasets, wrangling data and implementing metrics. At the same time, there will be opportunities to create dashboards in order to serve the needs of stakeholders. 

 - Will I work with raw data or participate in data collection?

You will definitely not be alone in gathering data, our dear Data team consisting of data modeling engineers and data engineers will be your closest contacts in such data collection and modeling tasks. 

What to do next:

If the advertised role looks like an exciting opportunity - the right time to apply is now!

We cannot wait to get to know more about you and explore how you can apply your talents in the ownership environment at Wolt.