Description

Finance leader with 8+ years delivering automation-driven transformation across group finance, FP&A, and financial controls in listed and private environments. Track record of accelerating month-end close, building audit-ready reporting infrastructure, and redesigning provision and revenue methodologies with measurable P&L impact. Combines deep IFRS expertise with hands-on engineering capability in Python, SQL, and Databricks to automate manual processes at scale.

Industry field of expertise

Languages

English
Native or bilingual
German
Conversational
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Berlin (up to 50km)

HelloFresh SE
Senior Finance Analyst, Global Finance
May 2023 - Today (3 years and 2 months)
Berlin, Germany
Revenue Automation: Centralised and automated group-level revenue calculations across 35+ entities, covering 7 billion EUR in annual revenue, with embedded IFRS controls — accelerating Month End Close by 2–3 days with zero audit findings.
MEC Process: Reduced month-end effort by over 70% by replacing 300+ monthly manual file downloads with Python pipelines auto-posting journals to Oracle.
Marketing Accruals: Boosted accrual accuracy by approximately 70% and saved 70+ hours per month via a Python regex pipeline parsing 60+ cost patterns.
Provision Modelling: Improved refund forecast accuracy by over 50% and reduced credit provision balance by 2M+ USD while maintaining full audit compliance under IFRS 15.
Marketing Budget vs. Actuals: Built a Tableau dashboard tracking marketing spend variance across entity, cost center, and supplier, enabling timely variance analysis without manual reporting.
Python Tableau software automation SQL Databricks
CEPRES
Private Equity Data Analyst
April 2021 - May 2023 (2 years and 1 month)
Munich, Germany
Team Lead: Managed a team of 7, set sprint priorities, ran daily standups, and reported directly to C-suite.
Process Automation: Cut processing time by over 80% and significantly reduced cost-per-file by delivering Python-based one-click tools for data processing.
Automation Consultancy: Evaluated automation feasibility across projects, estimating effort, time savings, and ROI to build a prioritized automation roadmap.
Data Quality: Materially reduced rework and improved data reliability through implementing automated anomaly detection rules and SQL checks.
Unstructured Data: Standardized unstructured PDF documents into structured upload-ready tables at scale by implementing AWS Textract pipelines.
SQL Python Microsoft Power BI automation
Dar El Ashaa
Financial Analyst
July 2016 - July 2018 (2 years)
Supported FP&A with budgeting, forecasting, and reporting across service lines.
Conducted ROI and break-even analyses on imaging equipment to guide purchase vs. lease decisions.
Built Excel dashboards to track revenue, expenses, and departmental profitability, surfacing key trends and variances.
Python Data analysis Microsoft Excel