Senior Product Owner - Tracking & Analytics - Storefront (all genders)

Scayle
Hamburg, Germany
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
€70,000.0 - €85,000.0
Working hours
Regular working hours
Languages
German

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Spreadsheets Software as a Service Cursor (Graphical User Interface Elements) Google Analytics Power BI DataOps Web Analytics

Job description

  • Lead the strategic expansion of e-commerce tracking within our high-traffic multi-tenant SaaS storefront platform
  • Build a brand new analytical function from scratch, setting up the measurement infrastructure and foundation for the platform
  • Define scalable KPIs and performance metrics that systematically drive product development for all tenants and enterprise retail customers
  • Translate data and platform performance analytics into actionable product features, user-friendly requirements, and longterm growth strategies
  • Evaluate platform performance against retail and e-commerce industry standards to keep our enterprise products state-of-the-art
  • Cooperate closely with three skilled cross-functional product teams (Product, Engineering, QA, and Designers) to shape data-oriented features
  • Act as the strategic “translator” between technical engineering teams and commercial business stakeholders, (Please note that benefits may vary depending on the location) A Place Where You Can Be You We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are. Different backgrounds and perspectives make us stronger and shape our culture in ways that matter. What we stand for internally, we stand for as a brand: acceptance, inclusion, and fairness. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website’s terms and privacy policy apply

Requirements

  • 6+ years of professional experience in an e-commerce environment, coming along with excellent analytical and problem solving skills
  • A very strong, MVP-focused approach centered on analytics, complex KPIs, and platform performance measurement
  • Extensive experience with web analytics platforms (e.g., Google Analytics, Plausible, Umami) and Spreadsheets/BI tools like Google Sheets or Microsoft Excel (PowerBI is a plus)
  • Passionate about using state-of-the-art AI tools (e.g., Claude, Cursor, or equivalent) and highly motivated to integrate them into your daily development workflows
  • Ability to translate fluently between commercial business stakeholders and cross functional and English speaking engineering teams
  • Analytical mindset with a high attention to data precision, actively keeping the quality and integrity of our measurement logic in check

Nice to Have

  • German language skills
  • Experience on the SaaS/platform side of e-commerce (vs. retailer side)
  • Background in specific retail verticals (fashion, beauty, lifestyle)
  • Prior involvement in product development or feature spec writing

About the company

SCAYLE is one of the fastest-growing enterprise commerce platforms in the world, enabling brands and retailers to realize their D2C ambitions. SCAYLE stands for innovation, international collaboration, and a strong focus on data. We believe that stepping outside of our comfort zone and making bold decisions is key to growing both professionally and personally. Instead of seeing problems as obstacles, we approach them as opportunities to find better solutions. We work in an environment that encourages flexibility, creativity, and continuous development. What drives us is the shared motivation to make an impact and actively shape the future of eCommerce.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.de

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:42 min

Combining technical skills with strong business communication

Lukas Kölbl · LIVE

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

1:32 min

Recognizing the persistence and utility of spreadsheet applications

John Bettiol · WWC 2022

5:25 min

Identifying candidate profiles for intent engineering role transitions

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

Videos

See all

Related articles

See all