Senior Data Analyst (Merchant)

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 your home or office. Wolt is not just a delivery app – we’re a technology company building a commerce platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In June 2022 we officially joined forces with DoorDash. Combined, we have a presence in 27 countries, 23 of which operate with the Wolt brand and app. Wolt and DoorDash continue largely independently, with Wolt’s name, brand, product, technology and team.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people. 

The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 40  cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.

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 competence team that covers business intelligence, data science, and data analytics. In total, we are a team of 50+ professionals working from Finland, Sweden, Germany, and Estonia all united by our excitement to put Wolt’s valuable data assets into everyday use.

Now we are looking for a Senior Data Analyst to join our Merchant domain in Helsinki, Berlin, or Stockholm. 

About Merchant Group at Wolt

Wolt as a platform focuses on serving three main groups: the customers, the couriers, and the merchants. In a nutshell, the Merchant Group strives to make Wolt an integral part of our Merchant’s daily business. Their core mission is to provide merchants with self-service tools and automation that are useful, efficient, reliable, and delightful to use. 

Merchant Analytics is an embedded analytics function within the Merchant Group. The team works to unlock insights related to the marketplace and turn them into actionable recommendations which drive the success of merchants at Wolt. While keeping merchants at heart, the analytics team focuses on all kinds of analytics projects which can benefit merchants while ensuring a seamless consumer experience and also supporting Wolt’s marketplace strategy.

A look into the Data Analytics at Wolt:

Data analysts first and foremost strive to gain actionable insights from all available data that support the decision-making in the teams they work with. In other words, data analysts are expected to be the objective advisors who base their findings and recommendations on data and solid data analysis methods. 

Data analysts at Wolt work as embedded in a team on one particular domain at a time. This means they are working as close as possible where the decisions are made (i.e. in product development teams, marketing, operations, etc.) and hence get to participate in decision-making themselves. 

As a Data Analyst at Wolt, you’ll get to:

• Step up to the challenge and take ownership of the data analytics topics within the Merchant Group.

• Empower more junior data analysts, mentoring them to tackle complex data analysis challenges.

• Be the driving force behind the insights that help our business and product teams comprehend Wolt's marketplace dynamics and anticipate long-term trends.

• Contribute to product development by sharing recommendations that make a real impact, using statistical techniques in Python, R, or similar.

FAQ About the role:

• Will I have to build dashboards? You can go with Python/R notebooks and presentations only for the deep-dives and ad-hocs but our Looker platform is at the moment the handiest way to give the self-service capabilities for the recurring insights and analysis for the wider audience at Wolt. We do think traditional dashboards are great in monitoring our business and benefit data analysts with automating data visualization work and inspiring new hypotheses/questions. 

• Will I spend 80 % or more of my time in data plumbing/wrangling? Analytics Teams at Wolt have both Data Analysts and BI Developers. BI Developers ensure that we gather relevant data and make it accessible in a scalable and trustworthy manner for the Data Analysts. This is to enable the Data Analysts to work more efficiently within the cross-functional Operations and Product teams, helping them to focus on true data analysis and make Wolt truly data-driven by exploratory and evaluative analytics.

• I want to use machine learning methods in my work. Should I pursue the data science path? Many data analysts at Wolt do utilize ML methods in their work. The main difference between a model built by a data scientist and a data analyst is the audience, purpose, and scale of the model. A model by a data analyst should support the product development and decision-making of stakeholders (insights that people can discuss) whereas a model by a data scientist is expected to be deployed and do millions of decisions as part of our product (think personalization or time estimates in our consumer app). So if ML models for you are (just) tools that assist in generating insights then being a data analyst is definitely the path for you. 

• I’ve never worked in a tech company and done A/B testing. Is this a blocker for me in becoming a data analyst? Indeed as we are curious people and have digital products we often conduct controlled experiments (A/B tests, Switchback experiments, etc). Measuring the true business impact of new features or operational changes is fairly challenging, and that’s why a solid grasp of statistics is necessary to truly thrive in this role.

Our offering to you:

• 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 so interesting company to practice analytics. 

• You can choose the location from our tech hubs Helsinki, Berlin, and Stockholm, or you can work entirely remotely anywhere in Finland, Germany, Sweden, and Estonia. You have the chance to decide the ways of working — a hybrid, at the office, or remote within the location above. 💙 Read more about our remote setup. 

• 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. Read more about how we work.

Qualifications

• Degree in Mathematics, Statistics, Computer Science, or a related field.

• 5+ years of relevant working experience in a data-intensive analytics role where you learned how to work with raw data, ideally in a B2C context and in a large organization.

• Expertise in statistical analysis, including hypothesis testing, experimentation, and regression analysis using statistical software packages in Python, R, or equivalent.

• Proficiency in writing structured and efficient advanced SQL queries for large data sets,

• Good written and verbal skills to communicate your problem statements, hypotheses, insights, and recommendations to a wider and executive audience.

• Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.

• Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

Additional Information

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)