Senior Analytics Engineer - Customer Operations (f/m/d) — Galaxus
CHF 79'500 - 120'500
Galaxus · Zürich (ZH)
- Location
- Zürich
- Contract
- full-time
- Posted
- 18 days ago
SalaryCHF 79'500 - 120'500
Role overview
As a Senior Analytics Engineer, you'll own the full data stack for your domain - designing data models, building dashboards used daily, and shaping data flows between our analytics platform and teams developing customer-facing tools.
You’ll turn business problems into clean data solutions and guide them from concept to delivery, bringing the team along.
- As a Senior Analytics Engineer, you'll own the full data stack for your domain - designing data models, building dashboards used daily, and shaping data flows between our analytics platform and teams developing customer-facing tools.
- You’ll turn business problems into clean data solutions and guide them from concept to delivery, bringing the team along.
- 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
- 3-5 years: Data Engineering
- Several years of experience in analytics or data engineering, with strong SQL and Python skills; comfortable in environments where legacy and modern stacks coexist, taking a pragmatic approach to delivering value in both
Main 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 a solution architect for complex analytics initiatives, turning business objectives into data solutions and owning the full cycle from discovery and requirements 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
Key requirements
- 3-5 years: Data Engineering
- Several years of experience in analytics or data engineering, with strong SQL and Python skills; comfortable in environments where legacy and modern stacks coexist, taking a pragmatic approach to delivering 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 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
- 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.
What the company offers
- Completed degree (university / university of applied science / higher technical college) English (Advantageous) Cosa offriamo
Application process
- 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
- Application and contact details Maja Crljen
- Information for recruitment agencies Only direct applications will be considered for this position. Grado di occupazione: 669%
Additional details
- Completed degree (university / university of applied science / higher technical college) English (Advantageous)
- Information for recruitment agencies Only direct applications will be considered for this position. Grado di occupazione: 669%
Notes and original content
- Completed degree (university / university of applied science / higher technical college)
- English (Advantageous)
- Cosa offriamo
- Information for recruitment agencies Only direct applications will be considered for this position.
- Grado di occupazione: 669%
