Data Analyst - eCommerce (m/w/d)

Metallbau Neyer GmbH & Co. KG; Frankfurt; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

Join a rapidly growing DTC subscription brand as a Data Analyst in Frankfurt. You will play a crucial role in building data infrastructure and deriving insights to drive strategic decisions. With a focus on e-commerce, this position offers real autonomy and the opportunity to make impactful contributions in a diverse team environment.

Qualifikationen

• 3-5 years experience in an analytical role, ideally in Data Analytics.
• Familiarity with key KPIs in e-commerce.
• Experience with APIs and data architectures.

Aufgaben

• Build data warehouse using Y42, BigQuery, Looker Studio.
• Analyze and visualize data for decision making.
• Develop automated solutions to improve efficiency.

Kenntnisse

SQL

Data Analysis

Data Visualization

E-commerce knowledge

Ausbildung

Degree in STEM

Tools

Looker

Tableau

Python

PostgreSQL

BigQuery

Zapier

Make

Jobbeschreibung

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 Operationsto 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-commerceand are familiar with key KPIs and the underlying mechanics of the industry.
• You have strong SQL skillsand 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 APIsand understand how data flows across different systems.
• You have a solid understanding of data architectures and pipelinesand 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. receipt of your application

Our HR Manager, Dewi, will check your application carefully. You will receive feedback within a week.

2. first interview: 45-minute team call

If your application is suitable, we will invite you to an initial interview. This lasts approx. 45 minutes and takes place via Microsoft Teams. In this interview, we will talk about your previous experience and go through some situational questions together. We will send you all the relevant information in advance so that you can prepare optimally.

3rd round: Conceptual case interview with Annika, the founder

If the first interview was successful, the second round will take place with Annika, one of the founders of HEY HOLY. Before this interview, you will be given a conceptual case that you will work on independently. In the interview, you present your results and discuss them with Annika. You will also receive feedback from us within a week.

4th round: Technical case interview with our CTO on demand

If the second interview is also successful, we will invite you to the last and final round, for which you will prepare a technical case and discuss it with our CTO on Demand.

5th: offer

If everything fits and we can convince each other to work together, you will receive a job offer from us!