Data Engineer/Analyst
- Verfügbarkeit einsehen
- 0 Referenzen
- 100€/Stunde
- Deutschland
- Nähe des Wohnortes
- de | en
- 04.12.2025
Kurzvorstellung
Geschäftsdaten
Qualifikationen
Projekt‐ & Berufserfahrung
8/2022 – offen
Tätigkeitsbeschreibung
• Launched and owned Heyflow’s foundational data platform on GCP, enabling all analytics through
modular pipelines and governed modeling (BigQuery, Dataform, Airflow, Cloud Run, Airbyte)
• Built real-time analytics system pushing product events to HubSpot, increasing sales conversion speed
by 40% (Cloud Functions, Pub/Sub)
• Designed and deployed reverse ETL pipeline syncing daily user/product data to CRM, improving lead
targeting and activation by >50% (BigQuery, Cloud Run, Airflow)
• Established Git-based CI/CD workflows for analytics; introduced code reviews, testing, and structured
deployments (GitHub, Airflow)
• Delivered core financial, product, and marketing reports with full automation, reducing manual reporting
by more than 90% (Apache Superset)
• Hired and onboarded entire data team; wrote case studies, ran technical interviews, and defined hiring
standards
Cloud-Services, BI-Spezialist Data Warehouse, Data Analyst, Data Engineer, Data Warehousing, Datamanager, ETL, Git, Google Analytics, Google Cloud, Google Tag Manager, Python, SQL
4/2022 – 8/2022
Tätigkeitsbeschreibung
• Developed core referral KPIs such as Viral Coefficient and Referral Growth Ratio to precisely evaluate the referral program and optimize marketing budget allocation
• Designed and expanded interactive Tableau dashboards providing full transparency on funnel performance, conversion drivers, and growth opportunities at management level
• Built a regression model in Python as the first data-science use case within the team, enabling reliable forecasting of growth and operational capacity needs
• Conducted data-driven analysis and optimization of IDnow onboarding SLAs, improving resource planning and strengthening leverage in contract negotiations
• Developed across departments referral KPIs such as Viral Coefficient and Referral Growth Ratio which improved targeting and increased visibility of the referral funnel
Data Vault, Data Analyst, Data Mining, Data Science, Datamanager, Postgresql, Python, SQL, Tableau
10/2021 – 4/2022
Tätigkeitsbeschreibung
• Built alert systems for critical CRM event tracking, significantly improving team communication and responsiveness
• Developed parameterized reports for Google Sheets enabling full self-service for stakeholders
• Migrated >5TB/day data to automated infra (Python, SQL, Jinja2, GitLab).
Big Data, Data Warehousing, Data Analyst, Marketing-Analytiker, Git, Python
8/2020 – 6/2021
Tätigkeitsbeschreibung
• Automated data reporting for metrics such as CAC/ CLV/ ROAS/ Churn which doubled the speed of the
decision making process for executives (SQL, Periscope Data, Mixpanel)
• Boosted landing page conversion by up to 50% through A/B-testing (SQL, Hotjar, Google Optimize,
Periscope Data)
• Increased CTR of email campaigns by up to 30% through experimental design conducted on >10k
customers (customer.io)
BI-Spezialist Data Warehouse, Data Warehousing, Data Analyst, Data Mining, Google Analytics, Google Tag Manager, Marketing-Analytiker, Postgresql, SQL
Ausbildung
Münster
San Francisco
Münster
Über mich
I have led foundational data initiatives from scratch, including designing modular pipelines, deploying real-time event systems, and delivering automated business reports. I have also built and onboarded data teams, defining standards and mentoring peers.
My professional goal is to help companies unlock the full value of their data through robust engineering, actionable analytics, and scalable automation, enabling faster business decisions and growth.
Weitere Kenntnisse
Cloud Platforms: GCP (BigQuery, Cloud Run, Pub/Sub, Cloud Functions)
Data Orchestration & Pipelines: Airflow, Dataform, Airbyte
Analytics & BI: Apache Superset, SQL, Python, Regression Models
DevOps for Data: Git-based CI/CD, Testing, Code Reviews
Leadership: Team building, mentoring, technical interviews
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
- Schweiz
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