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Senior Analytics Engineer - Customer Operations (f/m/d)

Digitec Galaxus AG -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

Teilzeit | Pensum: 80-100% | 100%

Qualifikationen

Datenanalyse
Git
Englisch
SQL
Analysefähigkeit
Softwareentwicklung
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

Zurich

80% - 100%
Product Development
English

As the top Swiss e-commerce platform, with a crew of over 4'000 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re passionate about making genuine improvements. We’ll give you the freedom and trust to make an impact, to grow with us and to be yourself. Act galactic. Be you.

In our team Ghostbusters, we keep Customer Operations running on the back of solid, trustworthy data - from when a parcel leaves our warehouse or is picked at one of our stores, all the way through resolving customer requests in After Sales and Customer Service. We build the pipelines, models, and dashboards that empower agents, business engineers, and leadership to make decisions that they can trust.

As a Senior Analytics Engineer, you'll own the full data stack for our domain - designing data models, building dashboards that get used daily and shaping how data flows between our analytics platform and the software teams developing our customer-facing tools. You’ll be the person stakeholders can rely on when a business problem needs to become a clean data solution, and the architect who guides it from concept to delivery - bringing the team along with you.

Your responsibilities

You independently own and deliver end-to-end data solutions - from integrating diverse data sources and modeling robust data objects, to conceptualizing and developing dashboards that enable data driven decisions across Customer Operations
You lead business-facing conversations with confidence - asking the right questions to uncover what stakeholders truly need, challenging assumptions where necessary, and turning requests into well-scoped, data-driven solutions
You act as solution architect for complex analytics initiatives - turning business objectives into concrete data-based solutions, owning the full cycle from discovery and requirements definition through to implementation, quality, and stakeholder handover
You align closely with software development teams on data requirements, models, and interfaces - ensuring a seamless flow of information between analytics and engineering
You actively contribute to improving team processes and tooling, identifying opportunities for automation, efficiency, and scalability in analytics workflows

Your skills

Several years of hands-on experience in an analytics engineering or data engineering role, with outstanding SQL skills and Python proficiency for data analysis; comfortable navigating environments where legacy and modern stacks coexist, with a pragmatic approach to deliver value in both
Deep expertise in sustainable data modeling and complex pipeline design, using orchestration tools like Dataform or dbt; solid understanding of modern data architecture concepts such as Data Mesh, applied in real production environments
Strong analytical skills and proficiency in data visualization - whether building dashboards or conducting ad-hoc exploratory analysis; familiarity with statistical analysis and knowing when and how to apply the right tests is a plus
Strong grasp of business KPIs and processes, with the communication skills to guide stakeholders through ambiguous problems and advocate clearly for tradeoffs between business value and technical effort
Comfortable working in collaborative engineering workflows - Git, code review, CI/CD practices, and Scrum - treating data work with the same rigor as software development
Hands-on experience setting up, running, and evaluating A/B tests and familiarity with how ML models are built and deployed in production are a plus
Fluency in English, while German language is an advantage
Using creativity and initiative to solve problems and achieve goals
Think and act with an absolut respect of human dignity and being aware of the human consequences of your decisions

Why start with us?

Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice and preach.
Courageous thinking: We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
Uncomplicated approach: Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.
Flexibility and freedom: We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
Rapid growth: With us, growth is a continuous journey. We also support you with 2’000 EDU Points per year for your professional development, so there’s no risk of you getting stuck in a rut.
More benefits: 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.

Diversity is our culture.

To build the best team, we want to draw from the full spectrum of talent out there. This means people from all walks of life have the same opportunities with us, regardless of their ethnicity, religion, disability status, gender identity, sexual orientation or age. We believe true inclusion means everyone is welcome and each contribution is valuable.

Working Language

English

Workload

80% - 100%

Location

Digitec Galaxus AG
Pfingstweidstrasse 60b
CH-8005 Zürich

Jetzt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als test automation engineer in zug zg erhalten

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