Beschreibung

As a seasoned Data & Analytics leader with over a decade of experience, I help companies transform their data into growth. I’ve built and led high-impact analytics teams across fintech, e-commerce, and Web3, including roles at Zalando and P2P.org delivering data platforms, reporting ecosystems, and AI-driven insights that support strategic decisions and real-time operations.

I specialize in building end-to-end data infrastructures (dbt, BigQuery, Airflow), BI dashboards (Looker, Superset, Power BI), and data analytics / data science AI solutions that enable fast, confident decision-making and automation. I’ve helped scale startups, drive investor reporting, optimize validator performance, and launch client-facing data products—unlocking millions in added revenue and efficiency.

I’m now focused on supporting startups, scaleups, and product teams that want to operationalize data, boost performance, and build a modern analytics foundation. If you’re looking for someone who can translate business goals into measurable, data-backed outcomes, let’s talk.

Sprachen

Englisch
Muttersprachlich oder zweisprachig
Griechisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Vor Ort möglich

Berlin (bis zu 40 km)

P2P.org
Head of Data &Analytics
April 2024 - Oktober 2025 (1 Jahr und 6 Monate)
Berlin, Deutschland
- Built and led the end-to-end Data & Analytics organization (data engineering + BI) across Product, Finance, Operations,
Sales, and Marketing, unifying fragmented data sources into a single analytics function and mentoring a team of 9+
FTEs. Embedded data-driven decision-making across all GTM and product initiatives.
- Boosted validator APR from 12% to 16% across three blockchains, generating ~€90K additional MRR through custom
optimization algorithms.
- Reduced financial reporting cycle from 15 days to 1 day by building company-wide data marts and real-time revenue
dashboards, creating a single source of truth for KPIs.
- Increased institutional client engagement by 30% through the launch of external-facing data products, including a
real-time staking data API and performance dashboards.
- Strengthened data governance and quality management frameworks, implementing GDPR-aligned MDM and data
lineage to prepare the organization for IPO readiness.
- Tech stack: GCP, BigQuery, dbt, Airflow, Apache Superset, incident.io, Grafana, Metaplane
AI and Advanced Analytics Business intelligence Data analysis SQL SQL
Zalando
(Acting) Head of Analytics – Platform Experience, Merchant Performance, Pricing
Januar 2023 - April 2024 (1 Jahr und 3 Monate)
Berlin, Germany
- Scaled the analytics function across 9 business units, aligning Product, Merchant, Finance, and Operations with
company strategy, while leading and mentoring a cross-functional team of 9 FTEs to deliver high-impact insights..
- Cut merchant pricing-related complaints by 64% by leading the development of a pricing misconduct detection model
that flagged and reduced unfair pricing practices.
- Enabled smarter investment decisions by building foundational LTV models for Zalando Direct, driving optimized
resource allocation, promotional spend, and proactive merchant retention strategies.
- Lowered product return rates by ~3 pp through an optimized size chart algorithm, validated via rigorous A/B testing.
Tech stack: AWS, Python, SQL, Databricks, MLflow, Datalab, Collibra, Superset, Looker Studio, MicroStrategy.
Python SQL Team management KPIs and Metric Definition and Monitoring Experimentation
Zalando
Team Lead, Performance &Analytics
Oktober 2020 - Januar 2023 (2 Jahre und 3 Monate)
Berlin, Germany
- Built and scaled Zalando Direct’s analytics function by hiring and mentoring 5 analysts, while defining roadmaps and
priorities aligned with strategic objectives to embed data into product and commercial decisions.
- Reduced customer service contacts by 4pp and increased checkout conversion by 0.2% by developing an ML model to
predict delivery windows for merchant-shipped products.
- Improved merchant retention by 3% and cut intervention lead time by 2 weeks by creating predictive models that flagged
at-risk merchants through behavioral and revenue signals.
SQL Business intelligence AI and Advanced Analytics KPIs and Metric Definition and Monitoring A/B Testing