Data Analyst - eCommerce (m/w/d)

What started as an idea in 2022 is now a fast-growing DTC subscription brand, delivering to over 20,000 dogs and generating high 7-figure revenues. We're currently a 15-person team and plan to grow to 35+ by the end of 2026. Now's the perfect time to join - with room to shape things, real ownership, and a setup built to scale.

Data is at the heart of how we grow - from product to performance, from retention to logistics. But numbers alone don't lead the way - insights do.

And that's where you come in: You know how to dig deep, connect the dots, and turn raw data into actionable strategy. You bring clarity, not just dashboards. You work closely with teams across Marketing, Product, and Ops - and you're not afraid to challenge assumptions with a data-first perspective.

If you're excited to further grow our DTC pet brand with real impact and real autonomy - let's talk.

Activities

Tasks

• ️ You help us build our data warehouse - likely using Y42, BigQuery, and Looker Studio - and ensure that our data sources are reliable, consistent, and clean. Deep data engineering expertise isn't necessary, but a solid understanding of data architectures, data flows, and modeling is essential.
• You analyze our data - from business and traffic to behavioral - and translate it into clear, actionable insights. Supporting strategic and operational decision-making with visualizations and dashboards that make complex information easy to understand.
• ️ You develop automated solutions - using no-code tools like Zapier or Make (bonus points for Python) - to make recurring analysis tasks and workflows more efficient and scalable.
• You collaborate closely with teams like Marketing, Sales, and Operations to develop and implement data-driven solutions that move the business forward.

Requirements

Requirements

• You hold a degree in a STEM field (Science, Technology, Engineering, or Mathematics) or a comparable analytical discipline.
• You bring 3-5 years of experience in an analytical role - ideally in Data Analytics, Business Intelligence, or a similar environment.
• You've gained initial experience in e-commerce and are familiar with key KPIs and the underlying mechanics of the industry.
• You have strong SQL skills and hands-on experience with databases (e.g. PostgreSQL, BigQuery, or NoSQL systems like MongoDB or DynamoDB), as well as with visualization tools (e.g. Looker, Tableau, Google Sheets, or Excel). Bonus points if you know Python (e.g. Pandas).
• Ideally, you've worked with APIs and understand how data flows across different systems.
• You have a solid understanding of data architectures and pipelines and feel confident helping us build our data warehouse - likely using Y42, BigQuery, and Looker Studio - even without deep data engineering expertise.
• You work in a structured, detail-oriented, and solution-focused way - and are able to translate complex data into clear, actionable insights.

Team

We value diversity!
We believe in the power of different perspectives and welcome team members regardless of what they look like, where they come from, who they love, or what they believe in.

What matters to us are your skills - and your willingness to grow while helping others grow, too. Because only together are we truly strong.

Our mission is clear: We want to grow in order to give as many dogs as possible a better life. To make that happen, we need people with different backgrounds, perspectives, and strengths. We're convinced that the most successful teams are those built on diverse, complementary talents.

Application Process

1. Einfang deiner Bewerbung
Unsere HR-Managerin, Dewi, prüft deine Bewerbung sorgfältig. Du erhältst innerhalb einer Woche eine Rückmeldung.

2. Erstes Interview: 45-minütiger Teams-Call

Wenn deine Bewerbung passt, laden wir dich zu einem ersten Gespräch ein. Dieses dauert ca. 45 Minuten und findet über Microsoft Teams statt. In diesem Interview sprechen wir über deine bisherigen Erfahrungen und gehen gemeinsam einige Situationsfragen durch. Damit du dich optimal vorbereiten kannst, senden wir dir vorab alle relevanten Informationen.

3. Zweite Runde: Konzeptionelles Case-Interview mit Annika, der Gründerin

Falls das erste Interview erfolgreich war, folgt die zweite Runde mit Annika, einer der Gründerinnen von HEY HOLY. Vor diesem Gespräch bekommst du einen konzeptionellen Case, die du eigenständig bearbeitest. Im Interview präsentierst du deine Ergebnisse und besprichst diese mit Annika. Auch hier erhältst du innerhalb einer Woche eine Rückmeldung von uns.

4. Dritte Runde: Technisches Case Interview mit unserem CTO on Demand

Wenn auch das zweite Interview erfolgreich war, laden wir dich in die letzte und finale Runde ein, für die du einen technischen Case vorbereitest, und ihn im Gespräch mit unserem CTO on Demand durchsprichst.

5. Angebot

Wenn alles passt und wir einander von einer Zusammenarbeit überzeugen konnten, bekommst du ein Jobangebot von uns!