Über Manuel
I am a Analytics Engineer with extensive experience across the entire analytics stack, from web tracking to data warehousing and reporting. I have worked with both older legacy systems and have set up complete data analytics stacks for startups. I enjoy tackling technical challenges and understanding business models to identify new KPIs for process improvement. My experience includes the following:
- Tracking Systems: Set up a new tracking system in Google Tag Manager and Google Analytics. Developed a measurement plan as a clear implementation strategy and collaboration tool for product managers and frontend developers. Implemented a GDPR-compliant cookie banner using CookieBot.
- Data Warehousing: Implemented a data warehouse in Google BigQuery, using Stitch as the ELT service and dbt for data engineering workflows. The data warehouse included a three-layer system with a staging layer (cleaning), core layer (Data Vault), and reporting layer (facts and dimensions). Utilized Tableau as the visualization tool.
- Legacy Systems: Worked with legacy data warehouse systems (PostgreSQL) and employed a reverse engineering approach to understand business processes. Structured new fact and dimension tables on top of the existing data warehouse and built Tableau reports based on them.
- API Supervision: Collaborated with requirement engineering teams to supervise and test API connections to banks, ensuring accurate data transmission and reception.
I am always interested in new and exciting projects and am eager to learn and test new tools and methods. If you are interested or just want to have a quick chat about data in general, feel free to drop me a line!
Deutsch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Französisch
Grundkenntnisse
Nur remote
Führt Projekte hauptsächlich remote aus
Projekt- und Berufserfahrung
- O'Donnell MoonshineHead of OnlineLEBENSMITTELINDUSTRIEMai 2020 - Dezember 2023 (3 Jahre und 8 Monate)Berlin, DeutschlandOverall Responsibilities:
- Division Leadership: Established and managed the Online Division, focusing on eCommerce management in Shopify and performance marketing. Optimized and drove growth for four online shops (DE, UK, AT, NL).
- Team Leadership: Led a team of four, overseeing a significant ad spend.
- Data Protection: Ensured compliance with data protection regulations for the entire company.
Technical Responsibilities:- Tracking and Analytics: Developed compliant Google Analytics and conversion tracking for the webshop using Google Tag Manager and Cookiebot.
- Loyalty and Reviews: Implemented Yotpo as a loyalty and reviews module for Shopify shops.
- Newsletter and CRM: Integrated Klaviyo for newsletters and CRM management for Shopify shops.
- Data Infrastructure: Created a marketing data warehouse incorporating data from Shopify, Klaviyo, Facebook Ads, and Google Ads.
- Tech Stack: Utilized BigQuery, dbt, and Stitch for data management and integration.
Marketing Responsibilities:- Performance Marketing: Managed Google Ads and Facebook Ads campaigns for all four stores.
- eCRM Flows: Set up eCRM flows in Klaviyo based on customer segments to enhance engagement and retention.
- Nist GmbHData Analyst / Analytics EngineerBANKEN & VERSICHERUNGENSeptember 2018 - April 2020 (1 Jahr und 8 Monate)Berlin, DeutschlandTechnical Key Responsibilities:Tracking and Analytics Setup: Configure and manage tracking in Google Tag Manager and Google Analytics to capture essential data.Data Infrastructure Setup: Establish and maintain a robust data infrastructure:
- Data Integration: Utilize Stitch for seamless data integration.
- Data Warehouse: Implement and manage BigQuery as the central data warehouse.
- Data Modeling: Apply Data Vault methodology for data modeling, including Staging, Core, Business, and Reporting layers.
- Modeling Language: Use SQL and dbt for effective data modeling.
Reporting: Develop insightful reports in Tableau and Google Sheets.Analytics Support for Various Departments:- C-Level / Investor: Provide key insights and analytics to support executive decision-making and investor relations.
- Performance Marketing: Analyze marketing performance data to optimize campaigns and strategies.
- Product: Deliver product analytics to guide development and enhancement decisions.
- Sales: Generate sales analytics to support sales strategies and operations.
- smava GmbHData AnalystSOFTWARE-HERSTELLERJuli 2016 - August 2018 (2 Jahre und 2 Monate)Berlin, DeutschlandKey Responsibilities:
- Database: Utilize PostgreSQL to develop reports and enhance business processes.
- Data Visualization: Create comprehensive reports in Tableau for various stakeholders, including Key Account, Finance, Product, IT, and Management teams.
- Automation: Write scripts in Python to automate routine tasks, increasing efficiency and accuracy.
- Data Modeling: Design and implement data marts (facts and dimensions) for a new data warehouse structure to support advanced analytics.
- Requirement Engineering: Collaborate with requirement engineering teams to understand bank APIs, and develop alerting systems in Tableau to monitor and address inconsistent data.
- Data Quality: Developed and maintained processes to ensure database consistency.
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Ausbildung und Abschlüsse
- Bachelor of Science in Volkswirtschaftslehre/EconomicsUniversität Köln2011
- Bachelor's degree (not finished), Computer ScienceHumboldt-Universität zu Berlin2013Courses in: - Programming - Software Engineering - Databases - Machine Learning - Math
Zertifizierungen
- 6.431x: Probability - The Science of Uncertainty and DataedX2020
- Data Manipulation at Scale: Systems and AlgorithmsCoursera2017