Beschreibung

Financial Data Analyst | Python, SQL & Power BI Specialist

Bridging Finance and Data Science for Actionable Insights

Are you looking to transform complex financial data into clear, strategic decisions? I am a Financial Data Analyst with an M.Sc. in Finance & Investment and a proven trackable record of delivering data-driven solutions for business performance.

How I add value to your business:

Automated Reporting: I reduce manual turnaround time (by up to 25% in past projects) by building robust automation pipelines using Python and SQL.
High-Impact Visualization: I design intuitive Power BI and Tableau dashboards that turn 100,000+ rows of data into clear KPIs and variance analyses.
Advanced Forecasting: Using statistical models like ARIMA and Random Forest, I provide high-accuracy predictions for demand, costs, and market trends.

Typical Deliverables:

Interactive BI Dashboards for real-time business performance tracking.
Forecasting Models for budget planning and energy/marketing demand.
Marketing Analytics (ROAS, CAC, and conversion optimization).
Macroeconomic & Risk Analysis using regression and time-series modeling.

With a background spanning 10+ successful freelance projects and certifications in Google Data Analytics and SAP S/4HANA, I combine technical rigor with deep financial literacy to improve your reporting accuracy and efficiency.

Let’s discuss how I can help you optimize your financial data operations.

Branchenexpertise

Sprachen

Englisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Nur remote

Führt Projekte hauptsächlich remote aus

HelloFresh
ndependent Project / Portfolio Case Study: Advanced Marketing & Revenue Analytics Project
GROSSHANDEL
Januar 2024 - Juni 2024 (5 Monate)
Berlin, Deutschland
Conducted an in-depth performance analysis and revenue forecasting project focusing on the e-commerce and subscription-based model (HelloFresh dataset).

Key Achievements:

Developed a Revenue Forecast model using marketing spend as a regressor to predict 3-year growth.

Analyzed Customer Acquisition Cost (CAC) and ROAS across different regions to identify budget inefficiencies.

Created automated Power BI dashboards to visualize conversion trends and seasonal demand.
Python (Pandas/NumPy) SQL (Advanced) Time Series Forecasting Regression Analysis
Upwork
Freelance Financial Data Analyst
DIGITALAGENTUREN & IT-CONSULTING
November 2023 - Heute (2 Jahre und 7 Monate)
Hamburg, Deutschland
• • Delivered 10+ financial analytics projects and developed 15+ BI dashboards
• • Improved reporting accuracy by 30% and reduced turnaround time by 25%
• • Built forecasting models for business performance and cost analysis
• • Analyzed datasets of 100,000+ records to identify trends and inefficiencies
• • Delivered actionable insights for data-driven decision-making
Financial Modeling & Forecasting Microsoft Power BI Automated Reporting & ETL Python for Finance (Pandas/NumPy) Business Intelligence Strategie (BI)