Senior Analytics Engineer - Marketing & Growth
Berlin, Germany
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingBuild and own the Single Source of Truth for Marketing and Storefront, defining CAC, Engagement, and core performance metrics with clarity, consistency, and auditability.
Implement Multi-Touch Attribution models and lay the groundwork for Marketing Mix Models that inform budget allocation and channel-level investment.
Design and build Data Health metrics that bring visibility to the quality, accuracy, freshness and completeness of our marketing and storefront data
From the employer’s posting
What You’ll Do Build and own the Single Source of Truth for Marketing and Storefront, defining CAC, Engagement, and core performance metrics with clarity, consistency, and auditability. Implement Multi-Touch Attribution models and lay the groundwork for Marketing Mix Models that inform budget allocation and channel-level investment.
Build and own the Single Source of Truth for Marketing and Storefront, defining CAC, Engagement, and core performance metrics with clarity, consistency, and auditability. Implement Multi-Touch Attribution models and lay the groundwork for Marketing Mix Models that inform budget allocation and channel-level investment. Expand Semantic model with relevant context and metrics that enables conversational analytics and shortens the time to insight
Expand Semantic model with relevant context and metrics that enables conversational analytics and shortens the time to insight Design and build Data Health metrics that bring visibility to the quality, accuracy, freshness and completeness of our marketing and storefront data Partner closely with marketing, storefront, and leadership stakeholders to drive faster, smarter decisions.
Tools in this posting
- Python
- SQL
- Airbyte
- dbt
- Snowflake
- Looker
Source — Tool mentions in context
- A strong, proactive ownership mindset with the confidence to challenge requests that introduce ambiguity, technical debt, or low business impact. - Expert proficiency in SQL, dbt, and data modeling, with experience building durable, modular systems that scale with the business. (Stack: Airbyte, Python, Snowflake, Looker) - Prior experience building Multi-touch Attribution Models or Marketing Mix Models (MMM)
Benefits in the posting
Full benefits wording- Competitive Salary & Bonus Structure – Your success is rewarded with strong compensation and performance-based bonuses.
- Outdoor Lifestyle Discounts – Enjoy exclusive discounts on PERGOLUX products.
From the employer’s posting.
Job description
Senior Analytics Engineer Marketing & Growth : You will own and architect the systems and definitions that determine how every euro of marketing spend is measured, audited, and optimized. Your work will directly shape how we understand acquisition performance, allocate budgets, and scale efficiently across markets. You will join a lean, 4 person team working on mission-critical initiatives in a fast-growing, design-driven environment.
At PERGOLUX, we value integrity, innovation, ambition, and unity — and we build systems with the same care and precision as our products.
What You’ll Do
Build and own the Single Source of Truth for Marketing and Storefront, defining CAC, Engagement, and core performance metrics with clarity, consistency, and auditability.
Implement Multi-Touch Attribution models and lay the groundwork for Marketing Mix Models that inform budget allocation and channel-level investment.
Expand Semantic model with relevant context and metrics that enables conversational analytics and shortens the time to insight
Design and build Data Health metrics that bring visibility to the quality, accuracy, freshness and completeness of our marketing and storefront data
Partner closely with marketing, storefront, and leadership stakeholders to drive faster, smarter decisions.
What You’ll Bring
Minimum 5 years experience in analytics engineering roles
A strong, proactive ownership mindset with the confidence to challenge requests that introduce ambiguity, technical debt, or low business impact.
Expert proficiency in SQL, dbt, and data modeling, with experience building durable, modular systems that scale with the business. (Stack: Airbyte, Python, Snowflake, Looker)
Prior experience building Multi-touch Attribution Models or Marketing Mix Models (MMM)
Deep understanding of marketing analytics concepts, including ROAS, CPA, MER, attribution logic, CRM data structures, and channel mechanics.
Professional working proficiency in English, enabling clear communication in an international, cross-functional environment.
Benefits
Competitive Salary & Bonus Structure – Your success is rewarded with strong compensation and performance-based bonuses.
Real Ownership – Take meaningful responsibility in your role and directly influence key business outcomes.
International Team – Collaborate with passionate colleagues across Europe, gaining exposure to diverse perspectives and ideas.
Outdoor Lifestyle Discounts – Enjoy exclusive discounts on PERGOLUX products.
Fast-Track Career Opportunities – As we scale quickly, you’ll have significant opportunities to grow into senior leadership roles.
Team Culture – Be part of regular team events, retreats, and a culture that celebrates wins—big and small.
Bike Leasing Program – Benefit from a sustainable and cost-effective bike leasing option to support commuting and an active lifestyle.
How to Apply
If you’re excited to build high-impact data systems at the core of a fast-scaling global brand, we’d love to hear from you.
Apply via PERGOLUX LinkedIn or through our PERGOLUX Career Page
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Berlin, Germany
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 25
- Last seen by us
- Oct 7, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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