Data Analytics Manager*in - eCommerce (m/w/d)
Data Analytics Manager*in - eCommerce (m/w/d)
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Job Description
For us dog food is more than a daily routine its a key to health and quality of life.
Instead of onesizefitsall we focus on breedspecific nutrition developed with veterinarians tailored to the real needs of each breed with one clear goal: longer healthier lives for our dogs.
What began as an idea in 2022 is now a fastgrowing DTC subscription model delivering to over 20000 dogs and generating high 7figure annual revenues.
Were currently a 15person team and plan to grow to over 35 by the end of 2026. Its the right time to join with plenty of room to shape real ownership a meaningful product and a setup built for scale.
Were looking for people who want to be part of this journey with drive ambition and the mindset to crack the next milestones together.
Aufgaben
You analyze our data from business and traffic to behavioral and translate it into clear actionable insights.
You support strategic and operational decisionmaking with visualizations and dashboards that make complex information easy to understand.
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.
You dont need deep data engineering expertise but a solid understanding of data architectures data flows and modeling is essential.
You develop automated solutions using nocode 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 datadriven solutions that move the business forward.
Qualifikation
You hold a degree in a STEM field (Science Technology Engineering or Mathematics) or a comparable analytical discipline.
You bring 35 years of experience in an analytical role ideally in Data Analytics Business Intelligence or a similar environment.
Youve gained initial experience in ecommerce and are familiar with key KPIs and the underlying mechanics of the industry.
You have strong SQL skills and handson 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 youve 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 detailoriented and solutionfocused way and are able to translate complex data into clear actionable insights.
Benefits
Flexibility that fits your life: Whether from our Frankfurt office or in a hybrid setup you decide when and where you do your best work.
Work on what excites you: From day one youll take ownership of projects that truly interest you. Your ideas matter and can be implemented directly.
Open & honest communication: We keep things straightforward. No endless hierarchies just clear feedback direct exchange and space for your input.
Personal learning budget: We invest in your growth because your development drives ours.
Access to Corporate Benefits & WellPass: So you can take care of yourself outside of work too.
Free HEY HOLY food for your dog: Because happy dogs are just as important as happy humans.
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. Were convinced that the most successful teams are those built on diverse complementary talents.
Employment Type
Full Time
