Mehdi AZMANI

Data & Financial Analyst | Business Consultant
Paris, FR.

About

Highly analytical and results-driven professional with hands-on experience in data-driven business diagnostics, predictive modeling, and strategic decision-making, poised to excel in a finance final internship. Proficient in Python, SQL, and advanced data visualization, I specialize in transforming complex datasets into actionable financial insights to optimize performance and support critical corporate strategy in large organizations.

Work

Altea Advisory
|

Business & Data Analyst Intern

Paris, Île-de-France, France

Summary

Led data-driven consulting projects for retail and services clients, leveraging advanced analytics to deliver actionable insights and improve operational efficiency.

Highlights

Built and deployed automated Power BI / Tableau dashboards to monitor KPIs, operational performance, and customer behavior, reducing manual reporting time for clients by over 40%.

Conducted extensive analytical work for consulting assignments, leveraging Python, SQL, and Excel to structure large datasets and extract actionable insights for clients in retail and services.

Participated in strategic diagnostics by mapping client processes, identifying inefficiencies, and quantifying improvement levers for enhanced business performance.

Supported senior consultants in preparing client deliverables, including market analyses, financial benchmarks, and scenario modeling to inform strategic recommendations.

Developed a lightweight Python-based forecasting model to estimate demand fluctuations, guiding operational planning discussions with client teams.

Nova Group
|

Database Analyst

Paris, Île-de-France, France

Summary

Managed and optimized critical sales and product data infrastructure, ensuring data integrity and enabling strategic marketing initiatives.

Highlights

Managed over 12,000 SKUs within the internal PIM system, reducing data errors by 25% through quality controls and structured update processes.

Processed and consolidated sales and product data across multiple business units to support the rollout of a unified data infrastructure post-reorganization.

Identified purchasing trends and category behaviors using Python and SQL, enabling the marketing team to refine assortment strategies and increase category performance.

Collaborated with IT and business teams to improve data flows and documentation, enhancing the reliability and usability of operational data assets.

CitiTrade International Morocco
|

Financial Accounting Intern

Casablanca, Casablanca-Settat, Morocco

Summary

Ensured financial record accuracy and compliance, supporting audit procedures and client assignments for an international firm.

Highlights

Organized and updated financial records in SAP, ensuring accuracy and compliance with internal audit and reporting standards.

Assisted in reviewing and reconciling cash flow statements and balance sheet items as part of statutory audit procedures.

Supported the team during client assignments by preparing working papers and documentation for accounting review.

Education

SKEMA Business School
Paris, Île-de-France, France

Double Degree MSc

Decision Intelligence / Business Consulting

Courses

Data Analytics

Applied Statistics

Python for Decision-Making

Business Strategy

Consulting Methodologies

Project Management

Decision Modeling

Organizational Transformation

Neoma Business School
Rouen, Normandy, France

Global Bachelor

Business Administration

Courses

Statistics with Python

Marketing Strategy

Financial Management

Economics

Business Development

International Management

Entrepreneurship and Leadership

Languages

English
French
Arabic
Spanish

Certificates

AWS Cloud Practitioner

Issued By

Amazon Web Services (AWS)

Skills

Programming Languages

Python, JavaScript, TypeScript, VBA, Java.

Databases & Data Management

SQL (PostgreSQL, MySQL), NoSQL (MongoDB), Data Cleaning & ETL Pipelines.

Data Analysis & Business Intelligence

Statistical Modelling, API Integrations, Monte Carlo, NumPy, Pandas, SciPy, Matplotlib, Power BI, Tableau, Excel Advanced (Pivot Tables, Power Query, Macros), Data-driven Business Diagnostics, Predictive Modeling, Strategic Decision-Making, Quantitative Analysis.

Financial Tools & Concepts

Financial Modelling (Python), Bloomberg API (basics), Financial Benchmarking, Scenario Modelling, Financial Accounting, Cash Flow Analysis, Balance Sheet Reconciliation, Internal Audit Standards.

Consulting & Project Management

Process Optimization, Client Management, Project Management, Stakeholder Collaboration, Requirements Gathering, Data Governance.