Wolt - English

Senior Analytics Engineer, Consumer

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

About Wolt

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn't always easy, but it's definitely exciting. Here you'll learn more, build more, and ship more than in most other companies. You'll be challenged a lot, but also have a lot of fun on the way. So, if you're a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

Analytics at Wolt is a business-critical area that covers three different teams: data science, regional business operations, and analytics engineering. 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 an experienced Senior Analytics Engineer to join our Analytics Engineering team. You can work in Berlin or Helsinki.

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 from business and product, and transforming them into actionable data. 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 experiments, A/B tests, and analyses.

Your daily work will include

Developing reporting and metrics quality 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 data models, and dashboards. You'll get to utilize our modern tech stack as part of your work (Snowflake, SQL, Looker, Wolt Inhouse ETL, Airflow, Dagster, Github).

Design and implement complex data pipelines with dependency control, orchestration, and auto-materialisation logic.

Develop a self-service data modelling strategy and partner with Analytics and other stakeholders for implementation.

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

Lead, mentor, and guide more junior team members.

Our humble expectations 

5+ years of experience working as an Analytics Engineer or BI Developer.

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

Tech skills: Snowflake, SQL, Airflow, DBT, Looker, or other visualization tools like Tableau, Power BI, etc.

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 analytics and reporting data models.

What we offer

The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics.

You can choose the location from our tech hubs in Berlin or Helsinki. You have the chance to decide the ways of working: a hybrid, at the office, or remote within the location above. 💙 

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, 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.

Next steps

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!

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Zhanna Filintseva via

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis Human Resources MySQL Operations Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the Senior Analytics Engineer, Consumer role.
  2. How would you approach your first 30 days at Wolt - English?
  3. Which of Data Analysis, Human Resources and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Human Resources and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Analytics Engineer, Consumer role because I can bring practical experience in Data Analysis, Human Resources and MySQL, learn the team quickly, and contribute to the outcomes Wolt - English needs from this hire.

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