Head of Data & Business Intelligence (m/w/d)

Worldwide | Sept. 9, 2026

Report as Closed

Company: Pammys™ (dieseo GmbH)

Country: Worldwide

Type: Onsite

Employment: Experienced

Description:
Job description

Pammys is one of the fastest growing D2C footwear brands in Germany - with over 1.3 million customers and over 4 million euros in paid social spend per month. At this scale, data quality is not determined by reports, but by millions. That's exactly why we're building a role that we don't have yet: You'll make data our sharpest control tool.
You'll be responsible for the entire data area - from the infrastructure to tracking and attribution to the dashboards that the founders and management team use to make daily decisions. You build the area from the ground up, with a direct line to the founders and the freedom to design the stack and team yourself.
Data infrastructure. You build our central data warehouse and connect all relevant sources – shop, paid channels, ERP/merchandise management, fulfillment, CRM – into a clean, reliable truth. No more numbers that look different depending on the tool.
Tracking & Attribution. You are responsible for our tracking setup end-to-end: server-side tracking, conversion APIs, data quality in the ad platforms. At our spend level, every percentage point of measurement accuracy is money - you ensure that our signals are better than those of the competition.
Control logic. You develop the key figures that we really use to control: contribution margin per product, channel and cooperation – close to real time instead of weeks later. You translate business questions into data models and data models into decisions.
Reporting & Self-Service. You build dashboards that are used - from the daily control board for the founders to self-service evaluations for the teams. Your claim: Every important question is answered in seconds, not in meetings.
Forecasting & Analytics. You support purchasing and inventory planning, sales forecasts and cohort analyzes with models that stand up to reality - and provide the management team with the analyzes on which big decisions are based.

• Several years of experience in data/BI roles in e-commerce or D2C environments - ideally where high advertising budgets were involved
• You have already built a modern data stack or been largely responsible for it (e.g. data warehouse, ELT pipelines, BI tool) - and can explain why you chose which tools
• Deep understanding of tracking and attribution in paid social environments: server-side, conversion APIs, the limits of platform attribution
• Very good SQL knowledge and experience with common BI tools; Python or similar is an advantage
• You think from a business perspective, not from a technology perspective: contribution margin, CAC and inventory range are control variables for you, not vocabulary
• Hands-on down to the last detail: You build the first pipelines and dashboards yourself before you build a team
• You can talk to non-technical people - and turn unclear questions into precise data products
• Very good German or English

• Demonstrable experience in setting up and further developing modern data stacks, including data warehouse, data pipelines and BI solutions
• Deep understanding of tracking, attribution and data quality in the paid social environment, especially server-side tracking and conversion APIs
• Very good SQL knowledge and experience with common BI tools; Python or comparable technologies are a plus
• Strong commercial understanding of contribution margin, CAC, sales, forecasting and inventory control and the ability to translate data into concrete business decisions
• Strong hands-on mindset: You build data models, Create pipelines and dashboards yourself and develop from them

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