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 three Senior Analytics Engineers to join one of our product teams - Merchant, Support, or Consumer. You can work in Helsinki, Berlin, or Stockholm. 

About the role

The role is focused on the business needs - you’ll be working within a cross-functional team, making sure your teammates get 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 analyses.

Currently, we have three roles, each of which is focused on one of our product domains:

🛍️ Merchant Domain - Merchant Analytics team works to unlock insights related to the marketplace and turn them into actionable recommendations which drive the success of merchants at Wolt. The core mission is to provide merchants with self-service tools and automation that are useful, efficient, reliable, and delightful to use. 

🧑‍🤝‍🧑Support Domain - Support Analytics' main goal is to deliver an amazing support experience while optimizing the operations by providing actionable insights through proper data processing which will allow running exploratory analyses and experiments, eventually quantifying the impact of those actions on the overall business.

🤝Consumer Domain - As the name “Consumer” implies, this domain team is responsible for building and developing Wolt’s consumer-facing products. The core mission is to master the user experience while scaling up the platform to enable delivering a mall in a pocket. 

During the process, we'll discuss your preferences and help to identify the most exciting domain to proceed with.

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 data integrations and data pipelines powering our Data Warehouse, our Looker 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).

• Design and implement tracking on our products which could unlock product analytics insights for product leads to understand user behavior.

• Develop a self-service BI strategy and partner with Analytics for implementation.

• Increase data literacy across the domain and expertise through hands-on training and documentation.

• Lead, mentor, and guide more junior team members.

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, Berlin, Stockholm, 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. 

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? 

The focus of this role is on building the basis for reporting needs, hence the 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. 

• Plenty of experience working as a BI Developer, Analytics Engineer, or Data Engineer ideally in B2C or E-commerce fields.

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

• Tech skills: Python, SQL, Airflow, Kafka, AWS, and one of the modern BI tools (Tableau, Power BI, Looker, or similar). Advanced SQL skills, and ability to write optimized queries for large data sets.

• Strong business acumen and product-oriented thinking with significant experience in the design and implementation of BI data models.

• 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. 

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 (zhanna.filintseva@wolt.com)